The editors at Solutions Review are exploring the emerging AI application layer with this authoritative list of the best AI agents for automation efforts across business functions, departments, and processes.

The proliferation of generative AI has ushered in a new era of intelligent automation, and AI agents are at the forefront of this transformation. From embedded copilots that analyze spreadsheets to autonomous agents that browse the web, write code, and synthesize complex data across systems, AI agents are shaping and reshaping how forward-thinking organizations understand and act on information.

In this up-to-date and authoritative guide, our editors will spotlight some of the top AI agents and agent platforms available today for business automation, grouped into clear categories to help you find the right tool for your specific needs—whether you’re a developer looking to automate parts of your code, a business analyst who needs to streamline your data collection, or a manager who is prioritizing enterprise-scale AI adoption.

This resource is designed to help you:

• Understand what makes AI agents different from traditional automation tools
• Explore the capabilities and limitations of each available agent or agent platform in the marketplace
• Choose the best solution for your team based on use case, skill level, and scalability options

Note: This list of the best AI agents for automation was compiled through web research using advanced scraping techniques and generative AI tools. Solutions Review editors use a unique multi-prompt approach to employ targeted prompts to extract critical knowledge and optimize content for relevance and utility. Our editors also utilized Solutions Review’s weekly news distribution services to ensure the information is as close to real-time as possible. The list is organized in alphabetical order.

The Best AI Agents for Automation

Anthropic (Claude)

Use For: Anthropic’s Claude Code is an agentic tool designed to help developers delegate coding tasks to Claude.

Claude Code is powered by Claude 3.7 Sonnet, a hybrid reasoning model used for coding that can significantly improve a company’s content generation, data analysis, and business planning efforts. The system is particularly valuable for reducing development time on routine coding tasks, allowing developers to focus on higher-level design and architecture decisions.

Key Features:

• Turn anyone into an AI developer with Anthropic’s accessible docs and tooling.
• Analyze a company’s codebases with expert-level reasoning via Github integration.
• Generates unit tests and test cases to verify code functionality and edge cases.
• Creates code documentation for functions, classes, and modules based on their implementation.

Get Started: Claude Code can integrate directly with a company’s development environment to help them streamline their workflows without the need for additional servers or complex setups. It’s currently in beta as a research preview and will continue to evolve based on user feedback.

Gumloop

Use For: Gumloop allows users to build and launch custom AI tools and automate workflows with the power of AI without coding.

As a platform for building LLM-powered automations, Gumloop equips its users with ready-made components they can use to create advanced AI tasks for data extraction, web scraping, document processing, financial analysis, human resources, data scoring, and more. User data will remain untouched for AI training, as it is backed by comprehensive data processing agreements and state-of-the-art encryption, both at rest and during transmission.

Key Features:

• A Chrome extension makes it easy for users to develop no-code AI browser automations.
• Build complex workflows visually; if you can describe your workflow as a list of steps, Gumloop can automate it.
• Use OpenAI or Anthropic models instantly—no configuration required.
• Parallel flow execution allows users to run millions of nodes without restriction, enabling 10x the speed of competitors.

Get Started: Gumloop offers several models to provide each user or team with the capabilities they need to automate their work. The platform is growing rapidly—it started 2025 with a successful Series A funding round and has been releasing new features and updates for its toolset on a monthly basis.

LangChain

Use For: LangGraph, powered by LongChain, equips teams with control over custom agent and multi-agent workflows, seamless human-in-the-loop interactions, and native streaming support for enhanced agent reliability and execution.

The platform’s APIs make it easy for teams to craft agent-appropriate UXs and deploy their agents with purpose-built infrastructure. It aims to provide an “end-to-end developer experience” by simplifying the prototyping, debugging, and sharing of agents via the visual LangGraph Studio. Companies can then deploy their applications with 1-click deployments and monitor app performance with LangSmith.

Key Features:

• An extensive library of off-the-shelf tools and an intuitive framework enabling users to customize their own.
• Design diverse control flows—single, multi-agent, hierarchical, sequential—from one unified framework.
• Add human-in-the-loop functionalities to steer and approve agent actions.
• Expose, update, and rewind the app’s state for better user visibility, steering, and interaction.

Get Started: Where other agentic frameworks work for simple tasks but fall short for complex tasks, LangGraph aims to provide an expressive framework to handle unique tasks without restricting users to a single black-box cognitive architecture.

Microsoft AutoGen

Use For: AutoGen’s open-source programming framework provides a flexible framework for accelerating development and research on agentic AI systems.

While still in active development, Microsoft AutoGen can already enable conversational agents that work together with structured roles, communicate effectively, and leverage various tools and external resources. This makes them particularly useful for tasks that require different specializations or perspectives, like software development, data analysis, and complex reasoning.

Key Features:

• Agents communicate through asynchronous messages, supporting both event-driven and request/response interaction patterns.
• Users can design complex, distributed agent networks that operate across organizational boundaries.
• Built-in tools provide tracking, tracing, and debugging agent interactions and workflows.
• The robust, asynchronous, and event-driven architecture enables a broader range of agentic scenarios.

Get Started: The latest release, AutoGen v0.4, is available now and redesigned the AutoGen library with the goal of improving its code quality, robustness, generality, and the scalability of its agentic workflows.

OpenAI Operator

Use For: Using its own browser, OpenAI Operator can access the web and perform various tasks, including filling out forms, ordering groceries, and creating content.

Operator is one of OpenAI’s first agents and is powered by a new model called Computer-Using Agent (CUA). This model combines GPT-4o’s vision capabilities with advanced reasoning and reinforcement learning, enabling the agent to interact with graphical user interfaces (GUIs) in the same way that humans do.

Key Features:

• Take action on the web without requiring custom API integrations.
• Automated and human review processes continuously identify new threats and quickly update safeguards.
• Run multiple tasks simultaneously.
• Users can save prompts for quick access, which is ideal for automating repeated tasks.

Get Started: Operator is currently in a research preview mode and will continue to evolve based on user feedback. It’s available now for ChatGPT Pro users in the United States.

Stack AI

Use For: Build and deploy AI agents, automations, and other applications for multiple use cases within minutes.

The Stack AI platform leverages AI to help users and teams reduce manual work, accelerate information retrieval, and generate actionable insights. Some of the AI agents it can create include data warehouse, request-for-proposal (RFP) creation, physician co-pilots, and more. Businesses can deploy in the cloud or on-premises, which makes it an easy tool to integrate with their existing models and databases.

Key Features:

• Build AI agents with a code-free visual interface and deploy them with customizable UIs or ready-to-use API endpoints.
• SOC2, GDPR, HIPAA compliant platform capable of working with secure models like Azure, OpenAI, and AWS Bedrock.
• User data will not used for training AI models through data processing addendums (DPAs).
• Stack AI can be self-hosted on a company’s internal servers, giving them complete control over their data.

Get Started: Stack AI makes it easy for users of all experience levels to develop AI agents, custom user interfaces, and API endpoints. Businesses can sign up for a demo or consultation to see firsthand how the platform can be customized to their specific needs. It also offers several pricing models for businesses of various sizes and goals.

Want the full list? Register for Insight Jam, Solutions Review’s enterprise tech community, which enables human conversation on AI. You can gain access for free here!

The post 15 of the Best AI Agents for Automation to Consider in 2025 appeared first on Best BPM Tools, Vendors, Software and BPMS.

The editors at Solutions Review have partnered with the team at LANSA to outline a few of the most significant ways professional low-code solutions can reduce development costs and lessen the burden placed on developers.

The meteoric rise of artificial intelligence (AI) in the software development market has caused major waves in everything from hiring to return on investment (ROI), development pipelines, and more. Building and maintaining enterprise applications has always been expensive, slow, and resource-intensive, and challenges like the ongoing developer shortage or modernization roadblocks are only adding to the struggle.

Thankfully, low-code technologies can help. With tools like Visual LANSA, companies can equip their developers with an integrated environment that combines low-code speed with traditional development’s power and flexibility, enabling teams to deliver tailored business solutions more efficiently. To help educate developers on the value professional low-code can provide, Solutions Review has partnered with the team at LANSA to outline a few ways these platforms can reduce development costs, maximize productivity, and more.

How Does Low-Code Reduce Development Costs?

1) Accomplish More With Less

Professional low-code can enable development teams to maximize and improve their productivity without increasing or overexerting their current staff. Low-code functionalities like this allow developers to build and maintain an ongoing library of custom components, workflows, and templates they can reuse across projects. Once created, these assets can save time in the future by eliminating the need to develop components from scratch every time.

Low-code platforms can also automate tasks that otherwise take up valuable developer time. For example, low-code empowers teams to automate tasks like infrastructure provisioning, database scaling, system scaling, maintenance, deployment pipeline management, and testing. Without requiring users to do these tasks manually, low-code lets them focus on building features instead of managing complex deployment processes or writing extensive test suites.

2) Accelerate Development Timelines

Another perk of professional low-code development is the ease of use it provides. Instead of coding everything manually, teams can use pre-built templates, connectors, and reusable parts to save time, remove time-consuming roadblocks, and allow each developer to focus their skills on more important matters. Low-code platforms also facilitate faster prototyping and iteration by helping teams gather feedback faster and adjust applications without extensive recoding. That acceleration doesn’t come at the cost of quality or flexibility since these low-code platforms support custom code when needed while ensuring routine development tasks are completed efficiently.

3) Easier Upgrades

Thanks to their component-based architecture, professional low-code platforms offer significant system maintenance and upgrade advantages. When developers create or modify a component in the central repository, those changes will automatically propagate to every instance where that component is used. Suppose a team updates a user authentication module to implement new security requirements. In that case, all applications currently using that module will immediately benefit from the enhanced security features without the need for any additional development work.

Developers no longer have to refactor significant portions of code when new features or improvements are needed. Instead, they can modify existing components (or create new ones) that seamlessly integrate with the existing architecture. Approaches like this save time in the immediate term and reduce technical debt by making systems more adaptable to future changes and requirements.

4) Seamless Integration with Existing Systems

By design, professional low-code platforms come equipped with pre-built integrations for enterprise software, databases, and services to help developers quickly establish connections with the existing systems in their tech stack. This means that, instead of writing integration code from scratch, teams map data flows and configure connections with easy-to-use visual tools that significantly reduce the time and expertise needed to bridge different systems.

Modern low-code platforms also support industry-standard protocols and authentication methods, making it far easier to establish secure connections with existing identity management systems and whatever corporate security frameworks a company complies with. When custom integrations are needed—as they often are—low-code platforms provide flexible APIs and extensibility options so developers can build custom connectors while maintaining the benefits of the low-code environment’s management and monitoring capabilities. This ensures that new applications seamlessly fit into the existing technology landscape while preserving investments in established systems.

The post 4 Ways Low-Code Solutions Can Reduce Development Costs appeared first on Best BPM Tools, Vendors, Software and BPMS.

Solutions Review’s Solution Spotlight with Infor, hosted by PCG, is part of an exclusive webinar series for enterprise business software users. This event will feature an hour-long discussion and software demo to help companies harness the power of advanced A&D vertical industry solutions.

What is a Solutions Spotlight?

Solutions Review’s Solution Spotlights are exclusive, expert webinar events for industry professionals across the enterprise technology and MarTech fields. Since its first virtual event in June 2020, Solutions Review has expanded its multimedia capabilities in response to the overwhelming demand for these events. Solutions Review’s current menu of online offerings includes the Demo Day, Solution Spotlight, Expert Webinars, and panel discussions. And the best part about the “Spotlight” series? They are free to attend!

Why You Should Attend

Solutions Review is one of the largest communities of IT executives, directors, and decision-makers in enterprise technology marketplaces. Every year, over 10 million people visit Solutions Review’s collection of sites for the latest news, best practices, and insights into solving some of their most complex problems.

For this Solutions Spotlight event, the Solutions Review team has partnered with aerospace and defense (A&D) experts from PCG, an ERP business transformation advisory service provider, and Infor, the global enterprise software provider, to discuss how A&D solutions can help organizations improve performance, be more secure, and meet regulatory requirements, all at a lower cost of business. The hour-long webinar will also feature a live product demo of the Infor CloudSuite A&D solution.

Speakers

Dan Kath, Vice President of Aerospace & Defense Portfolio at PCG: Dan has around 20 years of experience in the industry. Before joining PCG, he held several roles at Infor, including Vice President of Major Accounts and Director of Enterprise Global Accounts, where he was responsible for managing all aspects of business relationships, including new sales and client retention for select global Infor customers.

Alex Plitsas, Principal of Aerospace & Defense at PCG: Alex Plitsas is a seasoned executive with a track record of success in various business operations, problem-solving, team building, and program management projects in the public and private sectors. He also has a wealth of experience in defense and national security, including over a decade of leading business and digital transformation projects.

Chris Lewis, Vice President of Solution Consulting at Infor: Christopher Lewis has been consulting for digital transformation business application technologies for the aerospace and defense industries for the past 15 years. He focuses on driving value, process transformation, and change management for positive strategic business outcomes.

Ed Talerico, Director of Product Management at Infor: For the past 28+ years, Edward has held positions in pre-sales, development, and consulting services at Infor, working with Infor’s A&D customers before taking his current role as Infor LN Product Director to manage the North American needs for customers moving to LN Industry CoudSuites.

About PCG

PCG is a trusted provider of tailored end-to-end IT solutions that consistently and predictably deliver business sustainability. With the technical expertise of highly trained engineers, the company has the resources and capabilities to care for every aspect of a customer’s technology environment—from the back office to edge apps to the cloud and across the entire supply and demand chain.

About Infor

Infor is a global leader in business cloud software specialized by industry. The company develops complete solutions for its focus industries, including industrial manufacturing, distribution, healthcare, food and beverage, automotive, aerospace and defense, hospitality, and high-tech. Infor’s mission-critical enterprise applications and services are designed to deliver sustainable operational advantages with security and faster time to value.

FAQ

• What: Reaching New Heights: Navigating Aerospace and Defense in 2025
• When: Thursday, February 13th, 2025, at 12:00 PM Eastern Time
• Where: Zoom meeting (see registration page for more details), LinkedIn, and Insight Jam.

Register for the Solutions Spotlight with PCG and Infor for FREE

The post What to Expect from the Solutions Spotlight with Infor and PCG on February 13th, 2025 appeared first on Best BPM Tools, Vendors, Software and BPMS.

As part of this year’s Insight Jam LIVE event, the Solutions Review editors have compiled a list of predictions for 2025 from some of the most experienced professionals across the Enterprise Resource Planning (ERP), Business Process Management (BPM), and broader WorkTech marketplaces.

As part of Solutions Review’s annual Insight Jam LIVE event, we called for the industry’s best and brightest to share their ERP, BPM, CRM, and Marketing Automation predictions for 2025 and beyond. The experts featured represent some of the top WorkTech solution providers with experience in these marketplaces, and each projection has been vetted for relevance and ability to add business value.

WorkTech Predictions for 2025 and Beyond

Thomas Butta, Chief Strategy and Marketing Officer at Airship

Data willingly and simply provided will be key to unifying customer experiences.

“While walled gardens are nothing new, the walls keep getting higher—fortified by data deprecation and growing privacy regulations. In 2025, industry giants like Meta and Google will continue to tighten their grip on audiences, keeping more traffic on their pages while scraping content for large language models without an equitable value exchange. The result: plummeting referral traffic and soaring acquisition costs.

“Now more than ever, brands must prioritize direct customer relationships or risk being disintermediated. Data willingly and simply provided and purposefully solicited will be key to unifying experiences everywhere customers choose to interact–on the web, in apps, and everywhere in between.”

Murray Campbell, Global Product Manager (Regulatory) at AutoRek

Compliance demands drive the rise of automation  

“Regulatory pressures aren’t just tightening the screws—they’re turbocharging the case for compliance automation. For example, the Securities and Exchange Commission (SEC) is expanding its budget and workforce to unprecedented levels. As global authorities enforce increasingly complex mandates, businesses are drowning in a sea of audits, filings, and reporting requirements. The old-school, manual approach to compliance is officially obsolete.

“Regulators are increasingly favoring firms that adopt advanced technology, recognizing that automated processes provide a level of traceability and precision unattainable with manual methods. As the digital economy grows, transaction volumes surge, and regulatory demands evolve, sticking to outdated methods for critical processes becomes an inefficient and costly approach.

“In this high-stakes landscape, automation isn’t a luxury—it’s an essential component of doing business today. By automating tasks like validations and cash transfers, firms can achieve greater speed and precision in handling data-related processes. This also frees resources to focus on activities that benefit from human expertise and creative problem-solving.”

Mehdi Daoudi, CEO of Catchpoint

DevOps Supercharges AI-First Infrastructure in 2025

“DevOps will evolve to meet the unique demands of AI-driven infrastructure, where complex ecosystems of data, machine learning models, and interconnected systems power nearly every industry. This AI ecosystem involves managing vast amounts of data, training and deploying machine learning models, and supporting scalable compute resources—all requiring specialized infrastructure. DevOps teams will expand their role, going beyond workflow automation to fully owning and optimizing these AI-first infrastructures. They’ll set best practices for managing the speed, scale, and reliability of AI applications, helping organizations harness AI efficiently and securely as it becomes central to operations.”

Edge Compute: The New Frontier in 2025

“Edge computing will emerge as the new frontier, enabling real-time data processing closer to where it’s generated—whether in autonomous vehicles, IoT devices, or remote facilities. By minimizing latency and reducing the load on centralized cloud resources, edge computing will transform industries like manufacturing, healthcare, and retail with faster, more reliable data-driven insights. This shift empowers applications that demand ultra-low latency, increased security, and local processing capabilities, pushing businesses toward a future where edge intelligence enhances user experiences, operational efficiency, and scalability like never before.”

Bill Buckley, the SVP of Engineering at CloudZero

Damantha Boteju, Chief Product and Technology Officer at Configit

Manufacturers Will Lean into Generative AI for Augmentation and Employee Enablement

“One of the significant business benefits of Generative AI is reducing time to market while giving employees time back to work on bigger, more creative projects. Generative AI helps accelerate business processes and reduce mundane work, enabling employees to focus on being creative and putting more effort into better human interactions and collaboration. The most competitive companies in 2025 will be those who understand the power of artificial intelligence and copilots to build on the strength of their employees.”

Daniel Joseph Barry, Vice President of Product Marketing at Configit

The Concept of the Digital Configuration Thread Gains Prominence   

“The digital thread approach is rapidly becoming the data foundation for managing both standard and configurable products. As we move into 2025, we see this concept playing an even more prominent role. That’s because a digital thread can help manufacturers by providing end-to-end insight and traceability, enabling analysis and optimization of product portfolios, and supporting digital twins. However, achieving this approach often requires manufacturers to cobble together information from multiple bills of material (BOMs) in varying formats that reside in disparate systems–typically under the purview of multiple departments. That can lead to misunderstandings, inconsistencies, control issues, and maintenance concerns, but Configuration Lifecycle Management (CLM) produces a ‘digital configuration thread’ that can help manufacturers manage product configurations better.”

Manufacturers Will Look to Configuration to Help with Workforce Challenges

“Demands on manufacturers have never been higher, but U.S. manufacturers are struggling with a workforce gap. As seasoned workers hit retirement age, manufacturers will need to ensure they can capture the institutional knowledge of these employees in a more efficient way. That means moving away from a document- and experience-driven process to capture information from individual contributors. A configuration lifecycle management approach is one approach to doing this, laying the foundation for better collaboration and innovation by centralizing product configuration information so it can be shared among multiple departments. This capability lessens the sting of retiring pros and the fear of losing a company’s ‘brain trust.'”

Henrik Hulgaard, Vice President of Product Management at Configit

Configurability Will Become a Bigger Priority 

“As we saw in a recent survey of Product Lifecycle Management (PLM) professionals conducted by CIMdata, configurability has become a bigger priority, and we anticipate that trend will continue in 2025. This will drive the need for new ways to support customization, as traditional processes and tools won’t suffice. Many manufacturers still try to manage configurable products and product variants as if they were standard products, but managing configurable products requires a different approach. This leads to the next prediction.”

The Adoption of Modularity Will Rise 

“We’ll see an increase in modularity due to the expanded demand for customization and increased regulations and compliance mandates. For instance, sustainability regulations that require reuse and recyclability, such as those we see in the U.S. and EU, are easier to meet with a modular approach. Many early adopters have already implemented a modular approach to their products, and we’ll see more adoption in the new year, as modularity benefits manufacturers by reducing time, effort, and costs. It enables them to meet customization demands more cost-effectively by reusing modules (collections of features or pre-assembled parts) rather than custom engineering.

“Adopting modularization can be demanding, as it requires process changes, but with the combined compelling events of regulations and competition, manufacturers can justify the investment and reap the benefits. Forward-thinking manufacturers have already recognized this and are adopting new approaches centered on modularity and transitioning from engineer-to-order (ETO) to more customize-to-order (CTO) approaches that better meet their customers’ needs and enable faster response and delivery of solutions with minimal impact on engineering resources.”

Rahul Pradhan, Vice President of Product and Strategy at Couchbase

Agentic AI Poised to Power Next Wave of AI Innovation in 2025

“In 2025, the trajectory of AI will be shaped by the rise of agentic AI—proactive, intelligent agents that go beyond basic chatbots in an evolution promising a profound transformation for both consumer and enterprise landscapes, accelerating the world into a new era of AI capabilities. With capabilities such as understanding context, setting goals, and adapting actions, agentic AI can complete tasks previously thought impossible by AI.

“For this to be made possible, agentic systems require a compound AI system using multiple models that are moved closer to data sources within security parameters. The systems also need to handle both structured and unstructured data at low latency—all in real-time — to make meaningful, context-aware decisions on the fly. This requires seamless integrations across unstructured data processing, vector databases, and transactional systems for efficient storage and retrieval of diverse data types.

“The companies that will excel in providing these robust integrations and infrastructures will be uniquely positioned to drive the next wave of innovation and value in the AI sector.”

Edge AI Agents: Autonomous Decision-Makers

“As the maturity of Agentic AI advances, edge devices will start to adopt agents that can act autonomously based on real-time data. Edge AI agents, powered by integrated databases, will be able to make decisions in milliseconds, bypassing the need for centralized processing. These autonomous agents will perform tasks like controlling robotic arms in manufacturing, adjusting energy consumption in smart grids, and ensuring patient safety in healthcare facilities. The combination of AI models, local data processing, and autonomous agents will make edge devices intelligent participants in broader ecosystems.”

Steve Rotter, Chief Marketing Officer at DeepL

AI will accelerate hyper-personalized, more consistent marketing.

“We live in a hyper-personalized world—custom coffee, made-to-order clothing, and on-demand news feeds. Brands are even now tailoring their marketing messages and language to every customer in their preferred language, style, and tone. Along with personalization, consistency of language across all streams is central to successful marketing. Research shows that it boosts revenue by 20 percent or more.

“However, achieving this consistency across borders and languages is tough, requiring not only linguistic translation but also cultural adaptation to ensure that messages resonate the right way in different markets. If advertisers and marketers don’t get this right, they’ll open themselves up to misunderstandings, wasted resources, and missed growth opportunities. 2025 will be an exciting year for the marketing world as we start seeing a better understanding of how AI can strengthen customer relationships and help businesses’ bottom lines.”

Jim Palmer, the Chief AI Officer at Dialpad

The AI trust divide will reshape market dynamics in 2025. 

“Organizations that address customer concerns and ensure human oversight to prioritize transparency and ethical governance will gain a competitive edge. Companies that proactively address customer concerns and maintain human oversight will excel in customer retention and navigate regulated markets more effectively than those rushing to market without proper ethics. As consumer awareness grows and regulatory frameworks evolve, the market will increasingly reward businesses that demonstrate responsible AI practices while fostering innovation, leading to a more mature competitive landscape.”

Businesses will grow increasingly skeptical of AI offerings. 

“We’ll see a shift towards industry-specific AI tools as businesses grow weary of generic solutions that fail to deliver on their promises. This skepticism will be fueled by the proliferation of rushed AI products that create more challenges than they solve, leading to stalled adoption and investment among wary buyers.”

The human element of customer service will be redefined.

“As AI handles routine inquiries and administrative tasks, customer service roles will evolve to focus on complex problem-solving and relationship building. This shift will attract and retain more skilled professionals who can dedicate time to nuanced customer needs, leading to improved job satisfaction and career advancement opportunities. Organizations that successfully blend AI efficiency with meaningful human interactions will see higher customer satisfaction and loyalty, while those maintaining traditional high-volume, low-value service models will lag behind.”

Alan Samuels, the Vice President of Data and Product at Encompass Corporation

In 2025, AI Will Move Beyond The Hype and into Practical Application

“As artificial intelligence (AI) matures, 2025 marks a pivotal shift in how the financial industry leverages its potential. Gone are the days of embracing AI for its novelty. In the coming year, financial organizations will focus on pragmatism, problem-solving, and creating measurable value.”

• Solutions-focused AI: Financial firms will focus on scalable solutions that deliver clear, measurable outcomes. AI applications are now subject to rigorous scrutiny regarding their origins, training data, and compliance with security standards.
• Accelerating Digital Transformation: Advances in natural language processing (NLP) and computer vision are enabling AI to process non-digital information, bridging the gap for businesses reliant on legacy systems.
• The Arms Race in Financial Crime: AI is transforming how institutions detect and prevent fraud, leveraging its ability to uncover patterns and connections hidden in vast datasets while staying ahead in an arms race against increasingly sophisticated bad actors.
• Rethinking Product Development: AI serves as a “co-pilot” for developers, assisting in coding and accelerating the translation of vision into actionable requirements. AI-powered tools are reshaping how financial firms deliver customer experiences, blending efficiency with personalization to meet evolving demands.
• Enhancing CX: AI-powered tools are reshaping how financial firms deliver customer experiences, blending efficiency with personalization to meet evolving demands.
• Corporate Digital Identity (CDI): CDI leverages multiple advanced technologies, including AI, security frameworks, and robotic process automation (RPA), by pulling information from both public and private domains, ensuring it adheres to regulatory requirements, such as documenting sources and demonstrating the provenance of data.

Alexandros Siskos, the SVP of Customer Success and Marketplace Strategy at Everseen

More than Half of Retailers Will Invest in AI Platform Technology.

“As retailers recognize the value of unified AI solutions over piecemeal approaches, we predict that over half of them will adopt AI platform technology to support a growing range of business applications. This platform approach will enable retailers to apply AI-driven insights across business functions such as loss prevention, inventory management, and customer experience. With the tech industry increasingly focused on this market, retailers are well-positioned to integrate foundational AI with tailored applications.”

Casey Ciniello, Reveal and Slingshot Senior Product Manager, Infragistics

Implementing AI Will be a Top Priority in 2025

“By 2025, generative AI will become more integrated into technology, including content creation, software development, and automated decision-making. The shift towards AI will be a top priority and present transformative challenges in 2025, including workforce concerns about job security and resistance among employees hesitant to embrace AI-driven interactions. Traditional mentoring and learning pathways could be disrupted, resulting in limited development opportunities for junior staff and leaving a critical gap in skill-building and career growth.

“To address these challenges, we must adopt a proactive approach to collaboration between human employees and AI tools, emphasizing the unique skills that humans bring to the table, such as creativity, critical thinking, and emotional intelligence. By fostering an environment where employees view AI as a partner rather than a replacement, organizations can alleviate fears and enhance morale.”

JJ McGuigan, App Builder Product Manager at Infragistics

“Industries like healthcare and finance, where compliance with strict regulatory standards is critical, often face extended development timelines due to the rigorous testing required. However, the growing adoption of low-code tools is poised to revolutionize the time needed to adhere to these standards. Low-code platforms not only accelerate app development but also ensure that applications are built in alignment with legal and regulatory requirements. By integrating industry best practices into the development process, low-code solutions will streamline compliance, enabling faster delivery of secure, compliant apps without sacrificing quality or oversight.”

Security-related attacks on AI agents will soon emerge as a critical threat.

“Technology leaders will need “Guardian Agents” to autonomously monitor, manage, and contain AI actions as they work to establish standards for AI oversight. With enterprise interest in AI agents intensifying, next-generation GenAI agents are rapidly reshaping strategic planning for product leaders. Guardian Agents will bring a holistic approach to AI security, integrating compliance assurance, ethics, data filtering, log analysis, and advanced observability. As we move through 2025, the number of product releases deploying multiple agents will rise, supporting increasingly sophisticated use cases. Guardrails, security filters, and human oversight alone won’t be enough to guarantee the safe and appropriate use of autonomous agents.”

Daniel Lereya, the Chief Product and Technology Officer at monday.com

Productization Fuels AI Business Transformation in 2025

“AI has moved beyond the hype and is now a fundamental force transforming business operations. As we move into 2025, the primary challenge won’t be the technology but adopting and integrating AI into existing workflows. Companies must focus on how AI can be embedded directly into platforms, including new and existing processes while extracting real and material business value to enhance and scale operations.

“For AI to truly drive value, it must be accessible, predictable, and trustworthy—solutions that provide clear ROI while seamlessly aligning with how companies already work. Businesses will prioritize AI tools that grow with them and can tackle a wide range of issues, from automating routine processes to solving complex problems across areas like customer service, supply chain optimization, and data analysis—all with minimal disruption and cost.

“Ultimately, success in 2025 will hinge on adopting AI and ensuring its implementation is smooth, scalable, and impactful within existing infrastructures. This will unlock new business opportunities, accelerate growth, and encourage companies to build a unique competitive edge in an increasingly AI-driven world.”

Enterprise Work Management: The Key to Scaling Success

“In 2025 and beyond, enterprise work management will be a cornerstone of business success as companies realize that seamless execution at scale is essential for growth. With hybrid teams spread across offices and remote locations, orchestrating workflows across departments, time zones, and geographies is no longer optional—it’s vital. Businesses that master this alignment will drive innovation and agility and stay ahead in an increasingly digital-first world.”

Unified Platforms Are the Future of Enterprise Tech

“Platforms will reign supreme as businesses consolidate their tech stacks into unified systems for greater efficiency and strategic advantage. With all company data in one place, decision-making becomes faster and smarter, unlocking insights that fuel growth. Companies looking to achieve a complete AI transformation will find it more effective to implement an AI platform as an integrated platform essential for unlocking its full potential across all aspects of the business. In a data-driven world, a holistic platform isn’t just nice; it will be a must-have for organizations looking to establish a unique competitive edge.”

Amol Dalvi, the VP of Product of Nerdio

Demand for Cost Efficiency and Resiliency in VDI and DaaS 

“Looking into 2025, we’ll see an increase in demand for cost efficiency coupled with robust business continuity and resiliency in virtual desktop solutions. These themes are echoed consistently by our customers who are asking questions like, ‘How do I ensure my AVD desktops remain accessible at all times?’ and ‘How can I meet stringent continuity requirements?’ The shift to cloud VDI solutions has brought many benefits, yet with the growing focus on uninterrupted access, we expect to see an evolving approach to meet both budget and reliability needs.”

Resurgence of On-Premises VDI Solutions 

“I anticipate a resurgence of on-premises VDI solutions in 2025. Azure Stack HCI could offer a VDI option for organizations that require specific data residency or regulatory control, face bandwidth challenges, or may not be fully comfortable relying solely on the public cloud. This trend would be especially significant for highly regulated sectors like healthcare, financial services, and federal government agencies, where tight control over data location and access can be critical. We’re even seeing an uptick in interest for environments where a completely disconnected setup—think submarine-level isolation from the internet—is a real business requirement.”

Stabilization of AVD as a Cloud VDI Leader 

“In the cloud arena, AVD continues to stabilize as a technology, which may encourage broader adoption by businesses that have been slower to make the shift. The improved reliability and usability of AVD, along with the integration of Microsoft 365 into the DaaS landscape, adds interesting new layers of choice. Organizations will need to weigh the flexibility and maturity of AVD against the growing adoption of Windows 365 to determine the best fit for their needs.”

Balancing AVD’s Versatility with Windows 365 Integration 

“As we look ahead, it will be fascinating to see how the market balances these options—whether enterprises lean more into the maturity and flexibility of AVD or focus on the pre-packaged option of Windows 365 for their evolving workforce needs. The decision will hinge on each organization’s unique needs for both flexibility and operational continuity.”

Jonathan Rhyne, CEO and co-founder of Nutrient

“As we embark on the journey of understanding AI’s impact on productivity, particularly in how we create, interact with, and experience documents, we find ourselves at an exciting crossroads. Currently, generative AI is revolutionizing content creation, enabling us to produce new material with unprecedented ease. Additionally, AI’s capability to access and summarize text from images has transformed our interactions with documents, making them more intuitive than ever.

“Looking ahead, I anticipate a significant evolution in how we experience these documents. One of AI’s groundbreaking advancements is its ability to establish a direct interface between humans and computers. While the popularity of natural language chatbots is currently capturing attention, they serve as a preliminary step in demonstrating the potential of transformer models.

“In the coming year, we can expect this new human-computer interface to facilitate real-time personalization of document content. This means that interactions will become dynamic, tailored to individual preferences and past experiences, all while leveraging the most current information available. Over time, the conveniences brought by AI will become so integrated into our daily lives that they will be taken for granted, much like our constant connectivity to the internet today.”

Steve Fenton, Principle DevEx Researcher at Octopus Deploy

Platform Engineering will be thinner.

“Platform engineering has become a path towards DevOps efficiency and developer productivity. In 2025, organizations will realize they can achieve the goals of platform engineering with fewer lines of bespoke code. Instead of trying to build a grand unifying platform, existing tools will provide solutions that reduce fragmentation, apply standards, and integrate security into software delivery.”

Continuous delivery is dead… Long live continuous delivery!

“As organizations shift to platform-as-a-service, Kubernetes, and serverless offerings, they often lose good practices along the way. The solid continuous delivery pipelines they created for traditional self-hosted and IaaS environments had solid practices that should be transferred to new environments.”

Paul Laudanski, Director of Security Research at Onapsis

Cloud migration delays will trigger security emergencies

“As organizations face pressure to migrate their business-critical data to the cloud, many are still dragging their feet. Once migration becomes urgent, especially as we approach deadlines such as SAP’s 2027 cutoff to move to S/4HANA, the rush to transition will lead to mistakes such as leaving remaining vulnerabilities in the code or data you are bringing over. These mistakes could lead to costly delays or re-dos. Organizations still on legacy systems need to modernize their applications immediately to survive in the digital world that is already surpassing them. In 2025, we must prioritize addressing this migration before the risk compounds by way of proper cross-functional planning and execution.”

Lalitha Rajagopalan, co-founder of ORO Labs

Integrating GenAI and no-code solutions into procurement processes will be integral to remaining agile in the face of global changes.

“With natural disasters, geopolitical tensions, and economic shifts on the rise, traditional, pre-built procurement solutions can no longer adapt fast enough to avoid disruptions. GenAI-powered procurement orchestration breaks free from ‘hard-coded’ limitations, allowing companies to dynamically respond as situations evolve. This will be key to eliminating complex systems, improving visibility, and unlocking hyper agility, inherently enabling teams to react faster to potential disruptions, keeping operations not only on track but ahead in an unpredictable world.”

GenAI investments will shift from generic, broad use cases to more specialized, strategic applications.

“As GenAI technologies mature, companies will prioritize tools with clear ROI and targeted use cases. Procurement is especially ripe for transformation, given its exposure to frequent disruptions from global instability and complex third-party networks. By implementing GenAI in this space, companies can replace cumbersome systems with streamlined solutions that enhance visibility, adaptability, and resilience, making it a clear area where specialized GenAI investment can drive tangible results.”

Itamar Golan, Co-Founder and CEO at Prompt Security

The Future of Work with AI

“Contrary to widespread concerns, I don’t expect AI to eliminate jobs in 2025. Instead, it will serve as a powerful tool to enhance human capabilities. Agentic AI systems will work alongside humans, such as in customer service, sales outreach, marketing content creation, software development, and healthcare applications, among others. This means that very soon, 30 percent of our tedious and repetitive tasks will be automated, giving us more time to focus on creative, innovative, and interesting pursuits.

“I believe we will also see a significant shift as the multimodality of AI becomes more mainstream (video, audio, etc.), as opposed to the majority of its use, which has been text-based. This creates new opportunities for human-AI collaboration.”

Organizational AI Adoption

“The democratization of LLM access, driven by ever-decreasing prices, is enabling broader adoption across organizations. Additionally, specialized AI solutions will increasingly be moving away from OpenAI’s dominance, with alternatives like Claude gaining traction in specific domains such as coding, which is something we’re already starting to see.”

Agentic AI

“AI chatbots use generative AI to provide responses based on a single interaction. A person makes a query, and the chatbot uses natural language processing to reply. In my opinion, the next frontier of artificial intelligence will be agentic AI, which employs sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems. It is poised to enhance productivity and operations across various industries.

“Agentic AI systems process vast amounts of data from multiple sources to independently analyze challenges, develop strategies, and execute tasks such as supply chain optimization, cybersecurity vulnerability analysis, and assisting doctors with time-consuming tasks. I believe that by 2025, we will see a significant increase in resources shifting from single-interaction procedures with LLMs to this multi-step approach of agentic AI, which will gradually solve complex problems for us autonomously.”

Nitesh Bansal, CEO and Managing Director of R Systems

Organizations Must Take A Practical Approach to Generative AI Usage

“It’s no secret that generative AI has already had a significant impact on digital product engineering. It has fundamentally changed the way companies optimize the design and functionality of their products–everything from accelerating ideation and prototyping to user experience and product performance.

“In 2025, we will see more of this, but we will also see organizations take a more practical approach to how they leverage AI. AI has had a lot of hype–and that will continue–but more and more tech leaders will place a higher emphasis on ensuring measurable ROI–especially what can be achieved in the same fiscal year or under 12 months. For example, if an organization requires complex coding to enhance a new product, using AI to automate routine development tasks can free up needed time and gain an immediate benefit.”

There Will Be Continued Innovation Challenges In Digital Product Engineering if Organizations Don’t Embrace Upskilling and Outsourcing

“Innovation in digital product engineering will continue to flourish, but it will not come without challenges. On the technical side, a growing reliance on data, AI, and the cloud will require robust security measures and compliance with industry, state, and federal regulations. Additionally, ensuring AI-driven products are fair, transparent, and free from harmful biases will require ongoing vigilance and mitigation strategies.

“In the face of these challenges, it will be more important than ever to engage with those with deep technology expertise and know-how. However, finding and retaining professionals with the right mix of AI, data science, and product engineering skills will continue to be a challenge in itself.

“In 2025, we will see an increased focus on upskilling and outsourcing in an attempt to keep pace with the rapidly evolving technology landscape. Internal teams will become keepers of industry and company expertise, engaging with external resources that can help them choose and leverage the right emerging technologies while also bringing outside thinking and experience to problem-solving.”

Pieter Danhieux, co-founder and CEO of Secure Code Warrior

Rewriting the AI Equation: Not AI Instead of Developer, but AI + Developer

“As companies are prompted to take drastic cost-cutting measures in 2025, it would be to no one’s surprise that developers are replaced with AI tooling. But as was the situation when Generative AI first made its debut, and now, with years of updates and more to come, it is still not a safe, autonomous productivity driver, especially when creating code. AI is a highly disruptive technology with many amazing applications and use cases, but it is not a sufficient replacement for skilled human developers. I agree with Forrester’s prediction that this shift towards AI/human replacement in 2025 is likely to fail, especially in the long term. I think the combination of AI + developer is more likely to achieve this than AI alone.”

Bulent Cinarkaya, GM of Field Service Management at ServiceNow

“Over the past year and a half, field service organizations have been running a lot of GenAI pilot programs. Now, they’re working out whether to build solutions in-house, buy off-the-shelf options, or go with a mix of both. Next year, we’ll likely see a big increase in GenAI rollouts, with the technology expanding beyond just text-based tools. We’re talking about smarter, multi-turn conversations and new image and video intelligence features that can handle more advanced tasks. These developments will help companies operate more efficiently and open up fresh ways to improve service and engage customers.”

Dorit Levy-Zilbershot, VP of AI and Innovation at ServiceNow

“Over the next year, we will witness the evolution of enterprise AI agents as they become increasingly sophisticated in their reasoning and comprehension capabilities. Emerging use cases will transform the way businesses leverage these agents, and the nature of human interaction with them will evolve as they take on more complex tasks and decision-making roles. Watch for the rise of AI-powered ‘supervisors’ that will have the ability to move past simply automating tasks to truly orchestrating the interaction of all AI agents throughout an entire organization. This will make it exponentially easier for humans to administrate teams of AI agents across their entire business.

“By the end of 2025, AI agents will cross the chasm from tools that require more hands-on supervision to fully autonomous systems. Expect to see AI agents independently automating complex, multi-step processes without a human in the loop. This will undoubtedly transform how executives view AI adoption, positioning it as a powerful engine for unprecedented growth and innovation.”

Heather Jerrehian, VP of Product Management – Employee Workflows at ServiceNow

“To build an AI-capable workforce, organizations need visibility into the day-to-day tasks people perform and a plan for how to free up that time for more impactful work. Task intelligence will be the new frontier in 2025, enabling AI-driven automation and workforce agility so leaders can make informed decisions about upskilling, reskilling, and redeploying talent.

“In 2025, organizations will embrace autonomous agents, pairing humans and AI agents to streamline operations while cultivating new skill pathways for the workforce. This enables humans and machines to co-create the future of work—harnessing what each does best in a seamless partnership.”

Terence Chesire, VP of Product Management – Customer and Industry Workflows at ServiceNow

“In customer service, the ongoing transition from on-premise to the cloud for contact center will continue to accelerate–driven by the need to adopt AI quickly. This may come as a surprise to many. While most other software stacks have already moved to the cloud, the contact center has remained on-prem. The implication of this shift is a greater need to integrate cloud contact center systems with cloud-based CRM to both orchestrate interactions and the work that needs to happen during and after the call.”

Mark Mader, President and CEO at Smartsheet

Generative AI (GenAI) is ushering in a renaissance age for the generalist.

“Organizations have spent a disproportionate amount of capital hiring hyper-specialized talent with deep technical knowledge for years. Now, with the democratization of GenAI, the value offered by hiring ‘capable generalists’ is on the rise. People who articulately frame their thoughts, pose well-formed questions (prompts), and exercise AI tools to their advantage stand to benefit greatly.

“The demand for specialized AI talent—model developers, AI ops talent, and engineers to build and maintain infrastructure—will persist in 2025. However, we will also see the demand for non-technical talent shift to a more balanced state. Organizations will place as much worth on employees with the skills to extract value from platforms as those who build them.”

Future of Work 

“Over the past year, many of us have started experimenting with GenAI to work smarter and faster, raising questions about how this new technology will impact knowledge workers’ roles. In the coming year, organizations will apply GenAI to reduce and even replace repetitive tasks. This will allow knowledge workers to shift their focus, freeing their time to work on the aspects of their roles that are more strategic and creative. As a result, we’ll start to see more innovation. Businesses will also be expected to move faster and deliver more for their customers. Those who adopt GenAI now will have a competitive edge as these expectations shift.”

In 2025, AI will start to become part of the everyday fabric of our work.

“This year, an unbelievable amount of software came online that enables people to take advantage of AI in the context of their daily work. In 2025, AI will become part of the everyday fabric of work. Adoption will increase dramatically. More people will experience AI within the software they currently use. This removes the friction of switching to another app and staring at a blank prompt window. People will know where to start, and when they see results generated, they’ll usually have a better sense of whether the result is accurate.”

Greg Benson, Professor of Computer Science at the University of San Francisco and Chief Scientist at SnapLogic

Agents will Flourish with Human Oversight

“Agents have the potential to automate the grunt work of many human activities in the enterprise. However, the near-term success of Agents will depend on the harmonious interaction between autonomous processing and human approval of critical, consequential decisions. In this way, Agents are an accelerator to human workflows, but the human still has the final say. Future Agent systems will seamlessly incorporate a human in the loop.”

Increased Focus on Copyright and Data Provenance

“As AI-generated content proliferates, questions about copyright infringement and data lineage will intensify. The industry will see a push toward ‘provenance-aware’ AI models that provide transparency about the sources of their training data. Legal and regulatory developments in this area will be closely monitored and could redefine how AI models are trained and deployed.”

Nitin Singhal, VP of Engineering (Data, AI, and Integrations) at SnapLogic

AI Agents Will Empower Data Engineers To Deliver More Value

“In 2025, enterprise AI agents will fundamentally transform workplace operations, not just by automating repetitive tasks but by reimagining the way teams collaborate, innovate, and deliver value. Far beyond assisting humans, AI agents will optimize decision-making, reduce operational overhead, and empower employees to focus on creativity and strategic initiatives. This evolution will redefine roles like data engineers and software developers, transitioning their work from repetitive processes to managing AI systems, shaping data ecosystems, and unlocking new avenues of value.”

The Real Work Behind Building Responsible AI Systems Will Come to Light in 2025

“The adoption of generative AI will necessitate robust data integration and validation technologies. Organizations will prioritize data lineage, cataloging, and context-sensitive processing to reduce risks like hallucinations in AI outputs. Regulatory compliance frameworks around data privacy, security, and transparency will evolve, and we will see brand new AI regulations driven by global attention to responsible AI usage.”

Charles Ruffino, Fellow, Cloud Architecture at SoftIron

IT talent shortage will force radical workforce reimagination.

“The IT talent landscape is about to experience a tectonic shift that makes previous skill shortages look like a gentle tremor. The quantum of offshore talent is contracting faster than a startup’s runway during a funding drought, forcing organizations into a high-stakes game of technological musical chairs. Onshore talent acquisition will become a bloodsport, with compensation packages climbing like hyperscaler stock prices and the true cost of technical expertise revealing itself in brutal economic clarity.

“This talent crunch isn’t just a staffing problem—it’s an existential forcing function for IT infrastructure reimagination. While AI won’t magically replace human expertise overnight, it will accelerate a Darwinian evolution in how technical teams are structured, skills are developed, and complex systems are conceived. Organizations will be compelled to architect more resilient, self-documenting, and intrinsically manageable infrastructure, transforming a potential crisis into a strategic inflection point for technological innovation. The silver lining? Those who adapt fastest will emerge not just surviving but fundamentally redesigning the future of enterprise technology.”

J-M Erlendson, Global Evangelist at Software AG

Shadow AI is here to stay

“Even as companies push towards developing proprietary AI models, shadow AI will remain pervasive. People tend to favor their own way of doing things, so it’s incumbent on business leaders to evolve in how they address unsanctioned AI use. Blanket bans may have the unintended effect of discouraging innovation, while a failure to lay out policies will bring security and compliance risks. The focus from a governance standpoint should be to make sure company tools are the best available options, as well as educate workers about the inherent risks of shadow AI.”

AI-powered predictive analytics will evolve, driving timely decision-making for businesses.

“Right now, AI’s capabilities in predictive analytics are still mediocre, with machine learning falling short of delivering the deep insights businesses need. While AI today mainly identifies trends, significant advancements will begin to emerge in 2025 and beyond. Over the coming years, AI will continue to evolve to provide more accurate, preemptive decision-making support, empowering organizations to act on business practices proactively and in real-time rather than giving counsel based on older context.”

Aurélien Caye, Solution Specialist at Sprinklr

The Rise of AI-Powered Customer Support

“In 2025, traditional chatbot experiences will fall short as customer expectations evolve. Businesses will increasingly adopt autonomous, AI-powered agents capable of delivering more adaptable, responsive, and personalized support. Generative AI, especially through conversational AI copilots, will enhance both customer and agent interactions by enabling faster, more insightful responses that feel human. While this shift opens vast opportunities, it also brings challenges in responsible AI implementation. As organizations scale up AI adoption, they’ll need to establish guardrails, ensure transparency, and focus on regulatory compliance. Ethical considerations and transparency in AI decision-making will be essential to building customer trust.”

Optimizing AI Efficiency and ROI in 2025

“As organizations move beyond the initial generative AI hype, 2025 will see a focus on optimizing AI model efficiency. Companies will prioritize ‘smaller LLMs’ or open-source, in-house models to improve ROI and manage costs effectively. Multi-modal capabilities in AI will gain traction, allowing systems to interpret diverse content formats and provide more comprehensive support. Success will come from blending AI’s capabilities with human input to create meaningful customer experiences, ensuring that AI-driven transformations remain both sustainable and valuable.”

Ryan Tierney, SVP of Product Management at TrueCommerce

“As we move into 2025, many of the challenges supply chain leaders face today are likely to persist. While the obstacles themselves might not change dramatically, we can expect businesses to sharpen their focus in key areas, particularly around automation. Streamlining supply chain processes will continue to be a priority as companies look for ways to operate faster, more efficiently, and with fewer resources. Another area that will remain critical is data analytics. Supply chains are made up of complex, disparate systems, and getting smarter with data will be key to making informed decisions. Leaders will increasingly rely on internal intelligence to drive operational improvements.”

Claus Jepsen, the Chief Product and Technology Officer at Unit4

Out With Generative AI, In With Automation

“In 2025, IT leaders will pull back from applying generative AI to enterprise use cases amid growing data privacy and intellectual property concerns. While generative AI will fail to gain immediate traction, I expect its human-like quality and prevalence in public discourse will warm more enterprises up to the use of automation. Greater understanding and adoption of automation will transform the user experience for enterprise software. We’ll see the era of ‘self-driving ERP, where more intuitive and conversational software enables users to have less and less direct interaction with the user interface.”

Chris Wysopal, the Chief Security Evangelist and Founder of Veracode

Development and Security Teams Will Redirect Their Secure Coding Training Budget Toward Auto-Remediation

“Developers will learn less about secure coding because they’ll rely more on generative AI to remediate flaws automatically. This progression is analogous to the task of calling someone on the phone. While a few decades ago, we all needed to remember someone’s number to reach them, today, all we need to do is tap a contact on our phone. For developers, the equivalent will be to produce secure code without learning how to code securely from scratch. Instead, they will adopt processes to find, test, and fix vulnerabilities automatically, meaning it won’t be as important to know about secure coding—or even to know if generative AI has learned how to write secure code.”

For consideration in future news round-ups, send your announcements to wjepma@solutionsreview.com.

The post 61 WorkTech Predictions from Industry Experts for 2025 appeared first on Best BPM Tools, Vendors, Software and BPMS.

Solutions Review’s listing of the best Business Process Management companies is an annual look into the solution providers included in our Buyer’s Guide and Solutions Directory. Our editors gathered this information via online materials, reports, product demonstrations, conversations with vendor representatives, and free trial examinations.

The concept of business process management has been around for centuries, first utilized during the Industrial Revolution. The dawn of computer technology brought the framework for BPM as we know it today, focusing on task efficiency, quality management, and continuous flow. Today, these tools have evolved to become fully scalable, visual, mobile, and integral platforms, providing organizations with process insight and control like never before. 

Identifying the best business process management companies to work with can be daunting, though, which is why our editors have updated this list of the best BPM vendors to consider if you’re looking for a new solution in 2025 (and beyond). If you want more insights into the BPM marketplace, check out our online Business Process Management Best Practices section.

Note: Companies are listed in alphabetical order.

The Best Business Process Management Companies for 2025

Agiloft

Description: Agliloft is a highly configurable solution suite of contract lifecycle management (CLM) capabilities. Its platform includes integrated applications for customer service, web self-service, knowledge management, and contract management. Users can decide whether to employ hosted or on-premise deployment to meet their organization’s needs. Its workflow and business process management features can also help companies increase their agility, improve performance, adapt to evolving business needs, make deep configuration changes, optimize efficiency, and more.

airSlate

Description: airSlate is a document workflow automation platform for companies across the education, healthcare, legal, and construction industries. The platform comes equipped with no-code technologies, built-in integration capabilities, and features for workflow automation, document generation, electronic signatures, robotic process automation (RPA), process analytics, contract management, contract negotiation, web forms, PDF editing, and more. It also has built‑in integration options for leading technologies, including Salesforce, Microsoft, Netsuite, and UiPath.

Appian

Description: Appian is a low-code platform provider for companies across industries like manufacturing, education, healthcare, retail, life sciences, energy, financial services, and more. Its capabilities cover process mining, workflow management, and automation, all available on its open, enterprise-grade platform. Appian’s BPM software suite is designed to help businesses develop complex processes, automate collaborative work, simplify workflow design, and orchestrate their people, data, and systems into streamlined processes. Its BPM features include no-code connectors, DevSecOps, dynamic reporting, document management, AI suggestions, process visualization, and case management.

AuraQuantic

Description: AuraQuantic, formerly AuraPortal, is an Intelligent Business Process Management (iBPM) software provider that helps users optimize and transform their business processes and workflows. The no-code, business, and user-friendly BPM platform is intuitive and efficient, allowing for real-time control and analysis of all a company’s business processes and activities. AuraQuantic’s platform is hosted on a dedicated Microsoft Azure Cloud infrastructure for each customer. Customers can purchase the platform or pay on a per-use (SaaS) scale.

Axon Ivy

Description: Axon Ivy’s business process automation solution combines the speed and agility of a model-driven low-code development platform with the power to build enterprise-grade applications. Its highly scalable platform offers a future-proof architecture that open-source technologies can easily extend as needed. The solution is optimized for accelerated implementations and streamlined operation and maintenance. Companies will also benefit from an extensive range of out-of-the-box connectors, ready-to-use templates, and pre-packaged offerings across various use cases for business processes and industries. 

Bizagi

Description: Bizagi is a leader in digital business process automation software. The company’s primary solution is an iBPMS that offers execution on .NET and Java Platform Enterprise Edition. Additionally, the vendor offers three tiers of solutions, including Bizagi Engine, Bizagi Studio, and Bizagi Modeler, so that companies can select the best option for their needs. Bizagi provides users with process modeling, process automation, business transformation, low-code app development, and case management. Bizagi also eases new clients into using the software by offering an extensive e-learning program, live demos, and webinars.  

Bonitasoft

Description: Bonitasoft develops BPM software for developers to build business applications that adapt to real-time changes, UI updates, and more. With Bonitasoft, users can automate, model, and monitor business processes to streamline operations across departments. The software automatically checks for errors and highlights them before users save their business model. The Bonitasoft BPM solution is well-suited for workflow applications, meaning users can start developing quickly, and it combines process improvement techniques with business process automation technology for businesses in nearly any industry.

BP Logix

Description: BP Logix’s Process Director is a complete BPM solution with workflow software, case management software, and business process automation software capabilities. These features enable IT and business users to create robust business process management and workflow solutions to address various business challenges. BP Logix’s Process Director is a powerful BPM low-code platform offering excellent HTML UI and reporting tools on every major mobile or desktop platform. Process Director is its iBPMS platform and features no-code process definition and intelligent form creation that runs on top of an integrated business rule engine. 

Camunda

Description: Camunda is an open-source software company providing process automation with a developer-friendly approach that is standards-based, highly scalable, and collaborative for business and IT. The vendor offers visibility into business operations and improves system resilience. A community of thousands of users across companies design, automate, and enhance mission-critical business processes end-to-end with Camunda. The provider’s workflow and decision automation tools enable Camunda to build software applications flexibly, collaboratively, and efficiently, gaining the business agility, visibility, and scale needed to drive digital transformation. 

Creatio

Description: Creatio provides Customer Relationship Management (CRM) and Business Process Management solutions for many industries. Studio Creatio, their BPM offering, is an intelligent low-code platform that enables businesses, system integrators, and software developers to manage business processes of any complexity and quickly build applications for their specific business needs. Studio Creatio offers the unique synergy of business process management and case management technologies, providing organizations with powerful tools to manage and optimize business processes efficiently. 

FlowForma

Description: FlowForma offers no-code workflow automation tools that provide business experts with low entry costs and rapid process development. The FlowForma Process Automation solution is developed to help business users and Heads of Departments quickly implement HR onboarding processes, create new products, and launch clinical trials to increase organizational efficiency and productivity. It also empowers business managers to take control of their business processes and configure them in alliance with business needs. An intuitive and agile tool, FlowForma Process Automation enables users to build and adapt processes with an application trusted by IT.  

Genpact

Description: Genpact provides BPM software solutions to organizations worldwide. Cora, the provider’s Intelligent Business Process Management Suite (iBPMS), enables rapid build and change of high availability, mobile-enabled workflow applications that deliver significant digital business change. The solution combines the products acquired with RAGE Frameworks, PNMsoft, TandemSeven, and technologies developed in Genpact’s analytics and artificial intelligence practices. Additionally, Cora allows business users and process developers to access a simple, intuitive system within a single interface. 

iGrafx

Description: The iGrafx Business Transformation Platform enables transformation by connecting strategy to execution while mitigating risk, ensuring compliance, and providing a framework for governance, resiliency, business continuity, and continuous improvement. The solution is a cloud-based platform that enables businesses to meet today’s increasing challenges by executing a strategic vision, optimizing the customer experience, operationalizing Governance, Risk, and Compliance (GRC), and delivering holistic Quality Management (QMS). iGrafx’s Business Transformation Platform allows users to capture, model, optimize, audit, execute, and monitor processes. 

Kissflow

Description: Kissflow is a cloud-based BPM solution suite suitable for businesses of all sizes. The software automates business processes, monitors performance, helps initiate process requests, views items requiring user actions, and approves pending tasks. The system includes 50 pre-installed business applications, including employee onboarding, vendor payment, mileage reimbursement, and much more. Users can download these applications, edit them as they see fit, or build applications from scratch. Additional capabilities include no-code/low-code development, digital transformation, process automation, workflow management, form design, and more.

Newgen

Description: Newgen Software Technologies is a global provider of Business Process Management (BPM), Enterprise Content Management (ECM), and Customer Communication Management (CCM) solutions with a footprint in over 60 countries. The Omniflow iBPS Business Process Management Suite drives enterprise-wide digital transformation by connecting an organization’s resources. The platform’s advanced capabilities, such as process orchestration, case management, low-code application, communication management, and robotic process automation (RPA), allow users to re-engineer processes and go digital.

Nintex

Description: Nintex offers IPA solutions that strip business inefficiencies and replace them with seamless, sophisticated processes. The easy-to-use, no-code platform, Nintex Workflow Cloud, allows users to connect with all content repositories, systems of record, and people. Nintex offers advanced workflow, document generation, data collection, dissemination forms, integration with leading cognitive services, process mapping, monitoring, and reporting, whether on-premise or in the cloud. Nintex provides robust solutions designed for companies in industries across the energy, financial services, government, life sciences, and other markets. 

Pega

Description: Pega offers a Business Process Management tool developed on Java and OOP concepts. The platform allows users to quickly assemble an executable business application using visual tools. Pega has an extensive history of developing applications that offer daily sales, marketing, and support services. The system’s capabilities include case management, workforce intelligence, robotic process automation (RPA), lifecycle management, DevOps, low-code app development, virtual assistants, and more. Business owners can use the platform to build process flows that bring people and technology together for routine automation and improve reliability and efficiency in unexpected events. 

Process Street

Description: Process Street offers a business process management platform that provides organizations with a straightforward approach to managing repeating business procedures. Built for businesses to develop and track their processes with the use of super-powered checklists, Process Street provides for better scaling. The platform also minimizes mistakes and allows teams to create recurring lists, collaborate around them, and track them as completed. The Process Street platform empowers businesses to improve day-to-day operations with advanced permissions, reporting, and automation.

SAP Signavio

Description: Signavio, an SAP company, is a leading provider of BPM solutions, offering an integrated software solution allowing you to model, analyze, optimize, and execute business processes and decisions in one platform. The cloud-based Signavio Business Transformation Suite is a smarter way to translate between strategy and execution. The suite comes complete with the Signavio Collaboration Hub, a central point of contact for staff to secure collaborative knowledge, connect, and communicate. Signavio offers a dynamic BPM system that helps you quickly realign your organization and bring changes to life immediately.

Software AG

Description: Software AG’s Digital Business Platform (DBP) is a business process management tool that provides the control needed to improve every business process’s speed, visibility, consistency, and agility while minimizing costs and increasing standardization. The solution combines the vendor’s webMethods BPMS product with its middleware stack and advanced analytics capabilities. With Software AG’s BPM system, users can build or change business practices and create applications that are as dynamic as their business is. The platform enables users to manage tasks and teams more efficiently, fostering greater collaboration between stakeholders and departments.

TIBCO

Description: TIBCO, a Business Unit of Cloud Software Group, offers a flexible, all-in-one platform offering complete visibility and resource management so businesses are in total control of their operations. TIBCO can react to business events in real-time, meeting all process needs. The platform offers Intelligent Work and Resource Management dashboards that allow users to work with process details for greater business insight. Of the many tools TIBCO offers, ‘Decisions’ can capture and model decision-making logic. Nimbus is another tool that can be used for process documentation. 

TrackVia

Description: TrackVia is a user-friendly offering often viewed as an alternative to many traditional BPM platforms. As a low-code platform, TrackVia allows users to quickly assemble applications to match their unique business processes without extensive IT assistance or coding knowledge. TrackVia provides real-time reports, interactive charts, intelligent charts, intelligent automation, and user permissions. The platform is ideal for manufacturing companies and looks to help them reduce manufacturing defects, manage CAPA processes, react to indicators of defects, and fix quality-related issues before they occur. 

WEBCON

Description: WEBCON is a software provider that offers an enterprise-grade and low-code business process automation and management platform to help companies worldwide improve efficiencies, streamline processes, and drive overall business growth. Its primary product, WEBCON BPS, is an enterprise-level Low-Code Application Platform (LCAP) and BPM solution outfitted with robotic process automation, rapid application development, document management systems, process modeling, and other capabilities for digital process automation. WEBCON’s solution suite can be tailored to multiple industries.

WorkflowGen

Description: WorkflowGen is a low-code/no-code platform designed to automate complex, human-centric processes and enhance those processes with AI agents to provide users with higher configurability. The company’s Hybrid Agentic Approach aims to combine the strengths of artificial intelligence with workflow automation so companies can streamline the implementation of AI systems, scale their business, and maintain consistent transparency, compliance, and security. Specific features available on its platform include no-code workflows, agent orchestration, a built-in web form designer, AI model integrations, enterprise process management, custom reports, and more.

Zoho

Description: Zoho Creator is an online application builder designed to help organizations manage their business processes better by equipping them with a massive array of tools and a feature-rich development platform. Using an intuitive drag-and-drop interface, users can develop custom applications without the hassle of coding. The system follows the highest security standards, keeping data safe and providing regular updates and backups. The platform gives users all Zoho features regardless of which package is purchased. 

The post The 25 Best Business Process Management Companies for 2025 appeared first on Best BPM Tools, Vendors, Software and BPMS.

The editors at Solutions Review have highlighted the key takeaways in the inaugural edition of Gartner’s Magic Quadrant for Service Orchestration and Automation Platforms and summarized the findings.

Analyst house Gartner Inc. recently released the inaugural version of its Magic Quadrant for Service Orchestration and Automation Platforms. According to Gartner, the service orchestration and automation platform (SOAP) marketplace encompasses “solution suites that deliver capabilities enabling organizations to manage workloads, workflows, resource provisioning, and data pipelines across their technology landscapes.” These platforms are built to help companies “provide customer-focused agility, cost savings, operational efficiency, and process standardization.”

Each SOAP vendor had to meet specific criteria to qualify for this report. These include selling their SOAP software directly to paying customers, demonstrating an active go-to-market/sales strategy for a product that provides SOAP capabilities, operating in multiple geographical markets, and more.

Key Takeaways: 2024 Magic Quadrant for Service Orchestration and Automation Platforms

In this Magic Quadrant, Gartner identifies thirteen of the most significant Service Orchestration and Automation Platform (SOAP) providers in the marketplace. The researchers behind the report—Hassan Ennaciri, Chris Saunderson, Daniel Betts, and Cameron Haight—evaluated the strengths and weaknesses of each provider listed and ranked them on the signature “Magic Quadrant” graph, which provides readers with an illustration of each vendor’s ability to execute their vision. The diagram includes four quadrants: leaders, challengers, niche players, and visionaries. A breakdown of each category and the companies associated with it is below.

Leaders

Redwood Software kicks off the Leader category with RunMyJobs, a scalable SOAP solution that provides global companies with workload automation and workflow orchestration capabilities across distributed hybrid and cloud environments. RunMyJobs is available as a SaaS and self-hosted offering. Gartner highlights its strengths, such as its ten-plus years of experience with SaaS solutions, extensive enterprise integration catalog, and global presence, enabling Redwood to extend its sales and support services to most geographies.

BMC Software is the next Leader identified in Gartner’s report. Its SOAP offerings are Control-M, a self-hosted solution, and BMC Helix Control-M, the SaaS version. Both solutions provide a collection of capabilities for workload automation and workflow orchestration across distributed hybrid environments. BMC’s products support multiple deployment options, including on-premises, SaaS, virtual machines, and containers. Additional strengths include its range of out-of-the-box integrations with other leading software, its global footprint, and the continued innovation of its capabilities.

HCLSoftware’s SOAP solution is the HCL Automation Orchestrator Suite, which provides users with workload automation and workflow orchestration capabilities for distributed hybrid and cloud environments on a global scale. The suite can be self-hosted—via on-premises or customer cloud—or deployed as a SaaS or managed service. HCL differentiates itself in the marketplace with its various deployment options and AI and ML-driven capabilities, including the Clara and AI Data Advisor (AIDA) assistants.

IBM earns its spot in the category with the IBM Workload Automation (IWA) solution, designed to be “highly scalable.” Its workload automation and workflow orchestration functionalities are available across distributed, hybrid, and cloud environments. They can be deployed via various routes, including on-premises, mainframe, customer or IBM cloud, or as a SaaS. Alongside those deployment options, IBM’s strengths as a SOAP Vendor include its support for hybrid operating environments and geographic strategy, which helps larger enterprises engage with IBM across environments.

Broadcom’s SOAP offering is its Automic Automation solution, providing global users across industries with comprehensive workload automation and workflow orchestration capabilities designed to support digital businesses in distributed hybrid environments. Its strengths include scalability, support for zero-downtime upgrades, extensive security features, and its Automation Analytics & Intelligence (AAI) offering, allowing customers to predict SLA outcomes before they impact their business.

Stonebranch closes out the LEader category with Universal Automation Center, a scalable SOAP solution with workload automation and workflow orchestration tools for distributed hybrid and cloud environments. Its product is available as a self-hosted or SaaS version. Other strengths include the breadth of its integration catalog, support of real-time data flows, data pipeline orchestration functionalities, and various software transition and implementation services.

Challengers

Rocket Software is the first and only Challenger in this Magic Quadrant. Its SOAP is the Rocket Workload Automation DevOps Orchestration suite, which gives companies a scalable solution for workload automation and workflow orchestration capabilities across technology stacks. Like many vendors in Gartner’s report, Rocket Software benefits from a robust global presence bolstered by an ecosystem of over 750 partners. Other strengths include its direct support for mainframe job scheduling and its AI Predictive Pulse tool, built to ensure speed, cost savings, and mitigation of SLA misses. 

Visionaries

Beta Systems Software lands in the Visionaries category for Gartner’s report. Its SOAP, ANOW! offering is a highly scalable workload automation and workflow orchestration solution that can be deployed as a self-hosted or SaaS platform across distributed hybrid and cloud environments. One of Beta Systems Software’s strengths in the marketplace is its platform’s ability to orchestrate a range of systems, from newer cloud-based technologies to mainframe, OpenVMS, and other midrange systems. Its other qualities include a microservices-based design and over 450 out-of-the-box connectors for different technologies.

Resolve Systems is the other Visionary that Gartner identified. Its SOAP is Resolve Actions, a solution that provides companies with workflow orchestration functionalities across distributed hybrid and cloud environments. It also supports delivery via on-premises, virtual machines, containers, or SaaS avenues. Resolve Systems has over ten years of experience with workflow orchestration, offering clients a user-friendly authoring and execution experience that can be modified through an extensive catalog of integrations to other IT systems.

Niche Players

SMA Technologies kicks off the Niche Player category with its OpCon solution, which can be deployed on-premises or in cloud environments. While the vendor did not respond to Gartner’s requests for supplemental information, the researchers based their analysis on other credible sources and identified several differentiating strengths for the vendor. These include its emphasis on the banking and financial services market, self-service offerings that cater to non-technical users, and the Deploy module, which is built into the OpCon platform to equip users with a dashboard outlining the health of their system.

Absyss is the next vendor listed. It earned its spot in the report with the Visual TOM solution, available as an on-premises offering or a managed option via partners. The platform enables job scheduling and orchestration and supports workloads delivered in both on-premises data centers and hybrid environments. Strengths include its flexible licensing options, the capability to automatically convert jobs from competing platforms into Visual TOM, and a low-code interface that provides business users with high-level, self-service capabilities.

Fortra’s solution, JAMS, is designed to equip organizations with automation and orchestration capabilities focused on repetitive task automations in specific verticals, including financial services, retail, and energy. The platform is built on open standards, doesn’t use proprietary scripting languages, and is available only as a self-hosted solution. These features can reduce the effort required to adopt JAMS and allow users to integrate their script syntax into the platform’s features.

Honico Systems is the final vendor in Gartner’s report. Its solution is BatchMan, a platform that focuses on SAP workload management and can be complemented by its Easy Workload Scheduler tool for non-batch workflows. Since the BatchMan platform is deeply integrated within SAP, it can control SAP and non-SAP workloads and leverage its Java file and data manager agents for any workflows outside SAP’s ecosystem. Existing SAP customers will also benefit from BatchMan’s minimal learning curve and access to Honico Systems’ team of SAP specialists and experts.

The post Key Takeaways: 2024 Gartner Magic Quadrant for Service Orchestration and Automation Platforms appeared first on Best BPM Tools, Vendors, Software and BPMS.

Solutions Review’s Solution Spotlight with Red Hat is part of an exclusive webinar series for enterprise business software users. This event will feature an hour-long discussion and software demo showcasing the newest features, enhancements, and innovations packed into Red Hat’s RHEL 9.4 and 8.10 releases.

What is a Solutions Spotlight?

Solutions Review’s Solution Spotlights are exclusive webinar events for industry professionals across enterprise technology. Since its first virtual event in June 2020, Solutions Review has expanded its multimedia capabilities in response to the overwhelming demand for these events. Solutions Review’s current menu of online offerings includes the Demo Day, Solution Spotlight, best practices or case study webinars, and panel discussions. And the best part about the “Spotlight” series? They are free to attend!

Why You Should Attend

Solutions Review is one of the largest communities of IT executives, directors, and decision-makers in enterprise technology marketplaces. Every year, over 10 million people visit Solutions Review’s collection of sites for the latest news, best practices, and insights into solving some of their most complex problems.

With the next Solution Spotlight event, Solutions Review is partnering with the team at Red Hat for a demonstration of Red Hat Enterprise Linux releases 9.4 and 8.10. In this hour-long webinar session, Eric Hendricks—a Senior Technical Marketing Manager at Red Hat—will show how the new capabilities available in RHEL 9.4 and 8.10 can help companies improve security, optimize performance, elevate business infrastructure, and equip developers with advanced tools.

Speakers

Eric Hendricks, Senior Technical Marketing Manager: Eric is a Technical Marketing Manager with extensive experience throughout the tech industry. He specializes in solutions architecture and Linux systems engineering and has demonstrated expertise in systems management, social media strategy, technical product marketing, and cross-functional team management.

About Red Hat

Red Hat is a global provider of open-source enterprise solutions. It uses a “community-powered approach” to provide high-performing Linux, hybrid cloud, edge, and Kubernetes technologies to organizations across industries. The company aims to simplify work across platforms and environments, from core data centers to the network edge and beyond.

FAQ

• What: What’s New with RHEL 9? | #SolutionSpotlight with Red Hat
• When: Wednesday, September 25th, 2024, at 12:00 PM Eastern Time
• Where: Zoom meeting (see registration page for more details), LinkedIn, and Insight Jam

Register for Solutions Review’s Solution Spotlight with Red Hat for Free

The post What to Expect at Solution Review’s Solution Spotlight with Red Hat on September 25th appeared first on Best BPM Tools, Vendors, Software and BPMS.

The editors at Solutions Review have highlighted the updates in the 2024 edition of Gartner’s Magic Quadrant for Robotic Process Automation and summarized the findings.

Analyst house Gartner Inc. recently released the 2024 version of its Magic Quadrant for Robotic Process Automation. According to Gartner, “Robotic process automation (RPA) is a productivity tool that allows a user to configure one or more scripts (which some vendors refer to as ‘bots’) to activate specific keystrokes in an automated fashion.” These solutions can help organizations optimize day-to-day organizations by automating repetitive tasks and empowering employees to focus on more significant tasks.

To qualify for the report, each vendor had to meet specific criteria. These include selling RPA software directly to paying customers, demonstrating an active go-to-market/sales strategy, offering a commercially supported enterprise offering, providing support for RPA script development with standard programming languages, allowing users to deploy bots in multiple environments, and more.

Key Takeaways: 2024 Magic Quadrant for Robotic Process Automation

In this updated Magic Quadrant, Gartner identifies thirteen of the most significant Robotic Process Automation (RPA) providers in the marketplace. The researchers behind the report—Arthur Villa, Saikat Ray, Melanie Alexander, Sachin Joshi, and Mike Helsel—evaluated the strengths and weaknesses of each provider listed and ranked them on the signature “Magic Quadrant” graph, which provides readers with an illustration of each vendor’s ability to execute their vision. The diagram includes four quadrants: leaders, challengers, niche players, and visionaries. A breakdown of each category and the companies associated with it is below.

Leaders

UiPath once again starts the Leaders category with its UiPath Business Automation platform. This cloud-based platform provides technical and business developers with RPA, AI, NLP, API automation, low-code app development, process mining, intelligent document processing (IDP), application testing, process orchestration, and task mining capabilities. Its strengths as an RPA vendor are its emphasis on using generative AI to optimize its RPA offering, enterprise-grade viability, robust training and community programs, and its extensive RPA-specific ecosystem, including over 10,000 enterprise customers and 6,000 systems integrator partners.

Automation Anywhere, with its Automation Success Platform, is next on Gartner’s report. The solution provides enterprises and small and midsize businesses (SMBs) with RPA, API, process orchestration, analytics, a digital assistant, and other AI/ML-powered tools. Users can expand the platform with add-ons for task mining, document automation, a center of excellence (COE) manager, and marketplace integration. The company earns its place on the Magic Quadrant with its strategy for AI-driven capabilities, reputation for developing innovative features, prioritization of customer feedback, and partnerships with leading vendors like Amazon, Microsoft, and Google.

Microsoft is back in the Leader category with Power Automate, a solution built on Azure and designed to enable cloud-first, API-first, and desktop-based automation functionalities. Those capabilities include RPA with API integrations and orchestration, IDP, task mining, process mining, AI, and optical character recognition (OCR). Microsoft is one of the fastest-growing RPA vendors in terms of platform-specific revenue, with customer interest and adoption continuing to grow. Other differentiating characteristics include its competitive pricing plans, integration opportunities with Microsoft’s broader product portfolio, and growing partner network.

SS&C Blue Prism closes out the category with Blue Prism Enterprise, an RPA product that integrates with the company’s other products, including SS&C Blue Prism’s Chorus BPA, IDP, and process mining capabilities. The company has been expanding its capabilities beyond the core RPA product with the recent launch of Blue Prism Next Generation Platform (Next Gen), a cloud-native platform with multiple deployment options for enterprise customers. Its other strengths as an RPA vendor include customizable value bundles and its unified business model that combines AI, orchestration, and automation capabilities.

Challengers

SAP has moved from the Visionaries into the Challengers category in this year’s iteration of the report. It is the only Challenger that Gartner identified and earned its spot with the SAP Build Process Automation solution, a unified product that offers RPA, workflow management, and business rules management functionalities. The solution can also be integrated into the SAP Business Technology Platform (BTP) stack. SAP is well-regarded for its sales execution strategies, pricing plans, extensive feature suite, integration with SAP’s broader technology offerings, and prioritization of the customer experience.

Niche Players

Laiye is once again a Niche Player in Gartner’s Magic Quadrant. Its RPA product, Laiye RPA, includes the Automation Creator as a core module for RPA development. The platform is well-suited for multiple OSs, as it can automate processes across Windows, Linux, and macOS settings. Laiye has a solid market understanding, which informs its introduction of a new multi-modal, multi-channel conversation interface that makes it easier for users to use the platform. Its other strengths as an RPA vendor include its active community of developers, its development of utility-based and revenue-sharing pricing models, and a business model that enables customers to purchase its RPA tools as standalone products or as part of a larger suite.

Samsung SDS retains its place in the report with the Brity Automation Platform, which can integrate with the company’s internal AI Contact Center and visual capabilities. It is well-regarded for its ability to target different customer segments and its collection of small-scale, tactical automation capabilities for smaller organizations. Gartner also spotlights its partner ecosystem, customer experience, and ability to help customers upgrade their orchestrator toolset without interruptions as additional strengths.

IBM’s RPA product is part of its larger Cloud Pak for Automation solution. The IBM Robotic Process Automation offers RPA functionalities alongside process mining, digital assistants, API orchestration, IDP, and other AI capabilities to help customers identify, develop, and apply automation solutions. Gartner’s research identifies IBM’s global presence, demonstrated ability to deliver solutions worldwide, top-rated customer support offering, and task mining and screen scraping capabilities as its notable strengths as an RPA vendor.

Nintex is the final Niche Player in the report. The Nintex RPA product is available as part of the Nintex Process Platform, which includes workflow automation, digital forms, document generation, UDP, e-signature, process mapping, task mining, and business process automation features. Nintex differentiates itself with its strategic targeting of midsize enterprises, its web-based interface, its extensive ecosystem of automation customers, and its collection of pre-built automation templates and connectors for RPA and workflow automation.

Visionaries

Appian’s RPA product is part of the Appian Platform. It includes a low-code application platform (LCAP), multi-experience capabilities, IDP, process mining, decision automation, and business process automation (BPA) features. The company offers a simple per-user product bundle, which allows users to access the platform’s RPA bots alongside complementary automation tools, including LCAP, process mining, and IDP. Gartner also highlights Appian’s on-premises bot orchestrator, dedicated engineering innovation hub, and broader pricing strategy as differentiating traits.

Salesforce retains its spot as a Visionary in this Magic Quadrant. Its RPA offering is part of the Salesforce Flow suite and includes the following tools: RPA Manager, RPA Recorder, RPA Builder, and RPA Bot. Salesforce’s strengths as an RPA vendor include its multi-platform orchestration functionalities and its continued democratization of automation development via its investment in the Einstein GPT product. It also benefits from its complementary integrations with Salesforce’s other technologies, including an Integration Platform as a Service (iPaaS), enterprise LCAPs, and API management tools.

Pegasystems earns its spot as a Visionary with the Pega Robotic Automation solution, which combines the Pega Robot Studio and Pega Robot Runtime tools and is part of the Pega Infinity platform. The solution complements the company’s broader BPA, CRM, LCAP, multi-experience, and business rules capabilities. According to Gartner’s research, Pegasystems’ strongest features are its customer community, the Pega Marketplace, and its automation offering, which goes beyond tactical automation by offering intelligent decisoning, low-code, workflow automation, and process fabric functionalities.

ServiceNow closes out the 2024 Magic Quadrant with an RPA product built on its Now Platform, which includes custom application development and IT service management (ITSM) capabilities. The company’s RPA offering is part of its Automation Engine solution, consolidating its RPA, IDP, BPA, process mining, task mining, and integration tools. ServiceNow is well-regarded for its unattended and attended bot capabilities, use of AI to augment its platform’s capabilities, and its established presence across technology markets, which situates it as a reliable partner for clients to work with.

The post What’s Changed: 2024 Gartner Magic Quadrant for Robotic Process Automation appeared first on Best BPM Tools, Vendors, Software and BPMS.

The editors at Solutions Review highlight the key takeaways from the 2024 Magic Quadrant for Process Mining Tools and analyze the report.

Analyst house Gartner, Inc. recently released its inaugural Magic Quadrant for Process Mining Tools. Gartner says process mining tools “are designed to discover, monitor, and improve processes by extracting knowledge from events captured in information systems to continuously deliver visibility and insights.” The report also says that these solutions must come equipped with comparative process mining and process models, analysis, and enhancement, at minimum.

Gartner also lists some of the standard features available with these tools. They include process orchestration, GenAI-powered capabilities, execution support, data access and preparation, business activity monitoring, task mining, and advanced process analysis.

Key Takeaways: 2024 Gartner Magic Quadrant for Process Mining Tools

In this updated Magic Quadrant, Gartner identifies eighteen of the most significant Process Mining solution providers in the marketplace. The researchers behind the report—Marc Kerremans, David Sugden, and Nick Duffy—evaluated the strengths and weaknesses of each provider listed and ranked them on the signature “Magic Quadrant” graph, which illustrates each vendor’s ability to execute its vision. The diagram includes four quadrants: leaders, challengers, niche players, and visionaries.

Below is a breakdown of each category and the companies associated with it. Solutions Review’s rundown of last year’s Magic Quadrant for Process Mining Tools is available here.

Leaders

Celonis is once again the frontrunner in the Leader category. Its solution, the Celonis Process Intelligence Platform, is a containerized, microservices-based cloud platform. Gartner spotlights Celonis’ strengths in the marketplace: its extensive customer base, innovative marketing strategy, and Process Intelligence Graph solution modeled in an object-centric process data model that can function as an extensible digital twin of a user’s business. The company also benefits from acquiring Symbio, a process repository tool that has helped it expand its AI capabilities.

Software AG also returns as a Leader in Gartner’s report with its ARIS Process Mining solution, version 10 SR23. The solution can be purchased as a standalone or integrated offering with the broader ARIS Suite. ARIS Process Mining earns top marks for its process orchestration capabilities, generative AI adoption, and growing user community, featuring over 750,000 members who regularly share best practices, news, and blogs. Another strength is Software AG’s customer engagement for product feedback, which the company incorporates into its product roadmap.

SAP Signavio earns its spot in the category with two process mining offerings: SAP Signavio Process Intelligence and SAP Signavio Process Insights, version 17.4. Both solutions are part of the SAP Signavio Process Transformation Suite and include process modeling, data access, journey modeling, process model enhancement, process collaboration, and governance capabilities. Strengths include its market positioning, alignment with SAP’s overall go-to-market approach, and AI functionalities, including a text-to-query-to-widget, automatic event log enhancement, dashboard AI assistant, a problem space identifier, and the Journey-to-Process Analytics AI tool.

Microsoft’s Power Automate Process Mining solution is a Leader in this year’s solution, a change from its placement in the Challenger category last year. Microsoft Power Automate Process Mining combines the capabilities of task mining and Minit process mining, the latter of which is integrated into the Power Automate suite. According to Gartner’s report, Microsoft’s strengths as a process mining vendor include its advanced analytics functionalities, task mining capabilities, and implementation of generative AI technology via GPT-3.5 Turbo from OpenAI.

The Apromore Enterprise Edition 9.3 solution is another returning Leader in the report. Its offering provides companies with a single, integrated, no-code environment for process mining, modeling, simulation, and monitoring. It supports object-centric process mining (OCPM) at data modeling and discovery analysis levels. Apromore’s solution is well-regarded for the ease of use its no-code environment provides to users, its unique task-mining features, and its innovation roadmap, driven by AI-powered tools and predictive dashboards.

Like Microsoft, UiPath also moved from the Challenger category to the Leaders. Its process mining solutions include UiPath Process Mining, UiPath Task Mining, and UiPath Communications Mining, version 2023.6, all components of UiPath’s Business Automation Platform. Gartner identifies the company’s greatest strengths as a process mining vendor: its position in the market, its ability to combine holistic process intelligence with execution and AI-powered automation, and its overall approach to automation capabilities.

MEHRWERK is back as a Leader with its mpmX Process Excellence Platform, which combines mpmX analytics with mpmX execution. While the company is primarily based in Europe, it’s expanding its presence in the United States to continue supporting its clients in banking, financial services, insurance, automotive, manufacturing, IT, and other industries. Strengths include its recent addition of an OCR module based on several AI models, its market vision, and its data access and management capabilities, which it gets from running natively on Qlik’s BI platform.

Appian moved from the Niche Player category to the Leader in this year’s report. Its process mining solution—Appian Process Mining, version 5.9—is part of its broader Appian Platform suite and integrates its process mining toolset into Appian’s process automation solution. Gartner identifies the company’s most compelling strengths as being its support for process execution, data fabric innovations, and market positioning, which is built off its plans to develop a new category of holistic process management platform.

ABBYY closes out the category with ABBYY Timeline, version 6.04. The platform benefits from ABBYY’s optical character recognition (OCR) and intelligent document processing (IDP) capabilities and its pre-built integration with SS&C Blue Prism via Blue Prism Process Intelligence. ABBYY Timeline is delivered via ABBYY’s multitenant-hosted SaaS environment on AWS but is also available for private installation via AWS or Microsoft Azure, alongside an on-premises option.

Challengers

IBM is the sole Challenger in this year’s Magic Quadrant. Its solution is IBM Process Mining, version 1.14.1, which falls into IBM’s strategy of providing companies with a “one-stop shop” for AI-powered business automation features. The platform can be deployed via OpenShift, SaaS, and on-premises via IBM Cloud Paks. It receives high marks for its ability to offer a “complete” solution for intelligent automation, its in-depth understanding of individual marks, and its customer experience, which receives consistently high evaluations in Gartner Peer Insights feedback for integration, deployment, retention rate, and Net Promoter Score.

Niche Players

Skan is the first Niche Player in the report and one of several new additions to the Process Mining Magic Quadrant. Its offering is Skan Process Intelligence, version 3.2.2, available in the cloud and on-premises. It uses process and task mining capabilities to extract process insights and can generate event logs via task capture based on user observations. It differentiates itself in the market with its process discovery functionalities, above-average customer retention rate, and GenAI-powered ProcessGPT suite, further complemented by Skan’s Autonomous Learning and Optimization system.

StereoLOGIC returns to the Niche Player category with the StereoLOGIC Integrated Task & Process Mining Platform, version 2023, and StereoLOGIC Unattended Task Mining, version 2023. One of StereoLOGIC’s strengths is that it functions from a task mining perspective and captures events on an end-user desktop, terminal, or mobile device before applying patent-based engines to derive the processes. Other notable features include faster implementations, accessible data sets, and proprietary pattern recognition technology.

Cyclone Robotics and its Process Intelligence solution are also new to the report. The company is primarily a robotic process automation (RPA) vendor, but it’s expanded its suite to include process mining capabilities, which are deeply integrated with its RPA, BPA, and Integration Platform as a Service (iPaaS) offerings. Some of its defining strengths include its focus on China’s process mining marketplace, native task mining capability, and its marketing strategies, which focus on encouraging its RPA clients to renew and convert to its additive process mining functionalities. 

Proxverse, alongside the following two vendors, are the other newcomers to Gartner’s report. Proxverse’s process mining offering is Proxverse Studio, version 2.98, which consists of four modules: Data Fusion (ETL), Process Mining & Analysis, Process Management, and Low-Code Automation. It differentiates itself in the market with its co-innovation strategies with partners, its ability to be agile in response to market trends, and its promotions in China, where it hosts industry-specific webinars and workshops on process mining.

UpFlux’s process mining offering is available as a cloud-based and on-premises solution and primarily focuses on Latin American companies in healthcare, banking, IT services, telecommunications, and consumer goods. According to feedback from Gartner Peer Insights, UpFlux has some of the highest levels of client satisfaction among process mining vendors, which is reinforced by a solid understanding of the process mining market and its evolving trends.

mindzie is the final Niche Player in this Magic Quadrant. Its process mining offering, mindzie Studio, is available as a desktop, on-premises enterprise, and SaaS solution. While the company started working with small and mid-size businesses, it now works with larger clients wanting smaller implementations. Strengths include its pricing strategies, customer experience and support services, and its generative AI integrations, which are trained on mindzie’s custom block language.

Visionaries

QPR Software returns to the Visionaries category with the QPR ProcessAnalyzer, version 2023.4. This platform provides one-click root cause analysis, advanced influence and clustering analyses, machine learning tools, and predictive capabilities. It’s also the only process mining software running natively in Snowflake Data Cloud, which guarantees higher data security, more accessible data governance, and off-the-shelf scalability. Other strengths include its prioritization of the digital twin of an organization (DTO) use case and a marketing strategy that focuses on existing customers in its target markets.

Pegasystems has moved from a Niche Player to a Visionary. For this report, Gartner examined Pega Process Mining, version 1.0.0, and Pega Workforce Intelligence, version 8.8, for task mining tools. Both solutions are part of Pega Platform ’23. Its strengths as a vendor include its ability to support the entire process lifecycle, its case-based pricing model, and its identification of process mining as a significant driver in process intelligence, orchestration, and autonomous actions.

The post Key Takeaways: 2024 Gartner Magic Quadrant for Process Mining Tools appeared first on Best BPM Tools, Vendors, Software and BPMS.

Solutions Review’s Solution Spotlight with HighGear is part of an exclusive webinar series for business software users across the enterprise. This event will feature an hour-long discussion and software demo focusing on effectively managing work at scale in 2024.

What is a Solutions Spotlight?

Solutions Review’s Solution Spotlights are exclusive webinar events for industry professionals across enterprise technology. Since its first virtual event in June 2020, Solutions Review has expanded its multimedia capabilities in response to the overwhelming demand for these events. Solutions Review’s current menu of online offerings includes the Demo Day, Solution Spotlight, best practices or case study webinars, and panel discussions. And the best part about the “Spotlight” series? They are free to attend!

Why You Should Attend

Solutions Review is one of the largest communities of IT executives, directors, and decision-makers across enterprise technology marketplaces. Every year, over 10 million people come to Solutions Review’s collection of sites for the latest news, best practices, and insights into solving some of their most complex problems.

With the next Solution Spotlight event, Solutions Review’s team has partnered with HighGear, a no-code workflow & process management software platform that helps users build and deploy enterprise-grade workflow solutions and process management systems. In this webinar session, one of the industry experts at HighGear will provide an overview of HighGear’s capabilities and illustrate how its no-code platform can help companies manage their work.

Speakers

Jeremy Grue, Sales Engineer: Jeremy Grue has been a Sales Engineer with HighGear since 2023. In this role, he’s responsible for helping clients understand the capabilities of HighGear’s software and showing them how to deploy it in various use cases within their organizations.

About HighGear

HighGear is an enterprise-grade workflow automation and business process management platform designed to meet the needs of regulated industries. With HighGear’s workflow automation tools, companies can develop custom business processes, build enterprise-grade workflow applications, manage custom workflows without coding, maintain enterprise-grade security, manage multi-step workflows via permissions, and more.

FAQ

• What: “Effectively Managing Work at Scale in 2024”
• When: Thursday, March 28th, 2024, at 12:00 PM Eastern Time
• Where: Zoom meeting (see registration page for more details)

Register for Solutions Review’s Solution Spotlight with HighGear FREE

The post What to Expect at Solution Review’s Solution Spotlight with HighGear on March 28th appeared first on Best BPM Tools, Vendors, Software and BPMS.