12 top business process management tools for 2026

BPM lineup for 2026

The BPM vendors and their products listed below were reviewed here a year ago. A mere 12 months later, they are very different, offering new capabilities that allow both business and digital transformation teams to move faster with better process knowledge than ever before.

This report is not a product evaluation or a product comparison. The goal is to provide an unbiased look at the leading BPM tools and how these vendors have incorporated AI capabilities into their offerings and strategies.

A word of caution: Online lists of top BPM vendors and their products vary widely. There is little consistency in selection criteria among most of these overviews. Plus, with more than 300 BPM products available, assessing their unique and overlapping features to determine the best fit for your company is a daunting task.

The BPM vendors and products featured here are both proven and widely available worldwide. Keep in mind that the strengths and weaknesses of these BPM vendors change as products are enhanced and certain features are transformed through AI enablement.

Here is the 2026 overview of top BPM vendors, listed in alphabetical order.

AgilePoint

AgilePoint was founded in 2003 in Mountain View, Calif. Since its inception, the vendor has been building products focused on business and digital transformation, process automation, and low-code and no-code application generation. AgilePoint's recent focus is on incorporating generative AI (GenAI) into its products.

Core BPM products

AgilePoint is particularly known for its strong integration with Microsoft Azure and SharePoint platforms; and its focus on low-code application development, which lets business users and developers create process-based applications with minimal coding. Other products are based on traditional programming technologies and require manual intervention at different steps in their operation. AgilePoint's BPM platform includes the following products:

• AgilePoint Process Designer. The core tool for designing and optimizing processes with simulation, testing and real-time workflow change.
• AgilePoint NX. Low-code/no-code application development and generation platform for automating repetitive tasks.
• AgilePoint App Builder. Helps create custom applications with low-code workflow automation.
• AgilePoint Analytics Center. Performance monitoring and predictive analytics.
• AgilePoint AI and Machine Learning Integration. AI-enabled automation with natural language processing (NLP), predictive analytics and cognitive AI integration services.
• AgilePoint Process Mining. Process modeling, analysis and improvement recommendation.

AgilePoint's Automation Fabric product supports a full range of BPM capabilities -- including process analysis, modeling, streamlining, low-code application generation, process management, and performance analytics. Rapid solution development is provided by component reusability and GenAI capabilities embedded into several AgilePoint products. This modularity also allows for faster, more focused changes that also increase flexibility.

While it can use GenAI, AgilePoint can't directly generate chatbots. However, it can integrate with Amazon Lex and other tools for chatbot generation. The platform can generate both AI assistants and AI agents.

Recent improvements

AgilePoint made the following changes to its AI-based BPM product group:

• AI-enabled automation by NLP, machine learning and GenAI capabilities to deal with complexity and scope.
• AI-enabled systems consider trends and history to predict the future outcomes of decisions or actions.
• Natural language prompts to generate workflows and suggest process steps.
• Intuitive drag-and-drop menus make modeling easier.
• Expanded collaboration support and improved communication abilities.
• New prebuilt integration offerings that connect software systems or services.
• Predictive process insights using historical workflow data to predict bottlenecks, identify service-level agreement risks and suggest optimizations.
• Layered governance framework improves process lifecycle management.

Improved scalability can increase workloads without affecting performance.

Chatbots, AI assistants and AI agents

AgilePoint BPM products generate AI chatbots, AI assistants and AI agents using third-party AI vendor tools.

Takeaways

AgilePoint is focused on adaptability, creativity and user empowerment with a long-term commitment to predictive and GenAI-based product enhancements. Its low-code application generation capabilities are highly rated, as are the product's integration capabilities.

Strengths

• Low-code platform.
• Extensive integration capabilities.
• Workflow automation.
• Advanced governance and security.
• Prebuilt connectors and templates.
• Reporting and monitoring.
• Adaptability for digital transformation.
• Model-agnostic AI.

Weaknesses

• High learning curve.
• UX and interface complexities.
• Dependance on IT professionals for complex applications and workflows, and advanced function development.
• Ineffective analytic capabilities.
• Small market presence, small ecosystem of partners.

Appian

Started in 1999, Appian is a global BPM firm with headquarters in McClean, Va., and offices in the U.S. and abroad -- including the UK, Ireland, Germany, Australia and Japan. Appian's product line, named Appian Platform, includes low-code and no-code application development, AI process automation, intelligent document processing and process intelligence offerings.

In the past year, Appian has embedded generative AI across the platform rather than offering it as a bolt-on. The result is natural language processing models, AI-assisted expression writing and conversational app interaction.

The result is a highly flexible and scalable product capable of handling large-scale deployments and dynamic workloads. In addition, simulation capabilities are available to let teams test the flow and efficiency of new business operations designs before moving to low-code or no-code application generation.

Core BPM products

Appian products support process modeling, workflow definition, analysis, redesign and application generation; data integration from multiple sources; real-time monitoring and analytics; case management; social collaboration; predictive analytics forms; screen and report building; and continuous process monitoring and management. In addition, Appian modeling supports activity decomposition -- that is, breaking complex activities into lower levels of detail so teams gain an in-depth understanding of the work, activity flow, data flow and digital support. This is achieved using subprocesses, activity chaining and task management.

Appian BPM Platform products include the following:

• Appian low-code automation. Lets users design, simulate, build, deploy and manage low-code applications; this product includes decision management.
• Appian RPA. Supports the automation of processes with repetitive, rule-intensive tasks using both low-code and no-code application generation.
• Appian AI. Integrates AI capabilities, including third-party tools, into applications and workflows.
• Appian Process Mining. Includes algorithms that monitor performance and mine performance information to identify issues and recommend actions.
• Appian Integration hub. Provides tools and prebuilt templates to enable Appian systems to integrate with third-party vendor applications.
• Appian Case Management. Coordinates data, processes and people across processes.

• Appian Cloud. Provides a secure, flexible, scalable and high-availability cloud environment.

Recent improvements

• Appian Data Fabric, which provides a virtualized data layer (no physical data movement) and a unified view across multiple systems.
• Native Appian RPA bots offer attended and unattended automation and bot orchestration from workflows.
• Increased use of AI -- including the Appian AI Copilot -- to provide greater operational insights into processes.
• Enhanced product operations with GenAI.
• Improvements to the Appian process modeling tool suite.
• Improved process mining, analysis and optimization driven by advanced data-driven decision-making.
• Prebuilt package applications for multiple government service areas and industries, including financial services, insurance and energy/utilities.
• Improved low-code and no-code application generation capabilities.
• Increased use and management of robotic tasks.

Chatbots, AI assistants and AI agents

The foundation of Appian's AI application generation is the Appian AI Copilot, an advanced chatbot designed to increase efficiency and productivity. Features include the ability to do the following:

• Create interfaces from PDFs.
• Create sample data.
• Generate test cases.
• Take advantage of NLP.
• Assist developers in automating routine tasks.
• Use GenAI to provide real-time analysis, create insights, streamline the development process, create low-code and no-code solutions, and generate interfaces.
• Improve creativity by quickly trying new approaches to problem-solving.

Additional chat-related activities include Appian's Record Chat, which embeds a chatbot in an application to let users interact with the chatbot to expedite access to insights and answers to questions.

Takeaways

The move to integrate AI capabilities into its product lines is part of Appian's long-term strategy to make its products more versatile and scalable. The ongoing effort to add AI, RPA, and NLP capabilities to visual modeling has significantly enhanced the vendor's products' capabilities and flexibility.

Strengths

• Appian Data Fabric is a major competitive advantage because it provides virtualized access to data across systems without replication, strong performance, governance, and security. It enables BPM, AI and analytics on a unified data set.
• Enterprise-wide business transformation.
• Ease of use with a simple drag-and-drop model building.
• Low-code and no-code application generation that generates applications from business models.
• Workflow analysis that includes workflow monitoring and improvement recommendations.
• Scalability that can handle complex applications and large user groups.
• Flexibility to support continuous business process improvement.

Weaknesses

• High cost.
• Steep learning curve, and developers must learn Appian expression language and data fabric concepts.
• Limited mobile application development.
• Integration challenges.
• Complex business process modeling -- adding Business Process Model and Notation symbols to business models.
• Steep learning curve with a lack of tutorials.
• Limited customization options.

Bizagi

Founded in 1989 in Bogota, Colombia, Bizagi moved its headquarters to Tysons, Va., in 2021. Doing business in more than 50 countries, Bizagi has offices in the U.S., Europe and Asia Pacific. In its fall 2024 release, Bizagi made several AI enhancements to its Digital Business Platform, including replacing its RPA bots with AI agents embedded in orchestrated business processes.

Core BPM products

Bizagi's core BPM products focus on optimizing business processes and driving digital transformation. They are also more modular and clearly segmented than the competition. These capabilities include the following:

• Bizagi Process Modeler. An Intuitive tool for visual process modeling, simulation and optimization.
• Bizagi Digital Business Platform. Enables low-code and RPA application generation.
• Bizagi Studio. Supports the construction and management of processes.
• Bizagi Xchange. Provides access to a library of templates and other tools to speed up development.
• Bizagi Process Mining. Analytical tools that monitor processes and process analytics to recommend corrective or improvement information.

Keep in mind that application development is a multistep process with each step having to be started manually.

Recent improvements

Key improvements for 2026 are focused on adding AI capabilities, including the following:

• BPMN 2.0-compliant process modeling, process documentation and versioning, collaboration and approval workflows.
• Centralized process repository.
• Alignment with frameworks such as Lean Six Sigma.
• File input improvements let AI agents process files from Excel, Word, PDFs and images to provide improved insights.
• Use of predefined AI agents in Bizagi Studio to streamline AI integration.
• The ability to execute AI agents from form actions, enhancing workflow automation.
• Integration of GPT-4 capabilities to improve the speed available in Ada and AI agents.
• Embedding of an AI agent into processes to replace RPA bots.

The Bizagi modeling tools use drag-and-drop model building and can support activity decomposition by taking models to lower levels of processing detail. Text can be added to define activities, applications and data. Activities in process models can be moved in a model while connectors remain attached to both "from" and "to" activities.

Chatbots, AI assistants and AI agents

Both AI assistants and AI agents are custom-built using third-party AI tools.

Takeaways

Bizagi is heavily invested in Business Process Model and Notation (BPMN) -- the global standard for modeling business processes that is easy for business users to understand and precise enough for technical implementation. It describes workflows from start to finish and how decisions are made.

Beyond that, Bizagi is focused on evolving its products to better support intelligent automation, improved accessibility and cloud-first solutions. This includes supporting digital transformation through Agile, highly collaborative products that drive automation, business evolution, and transparency into change.

A part of this vision addresses the need for rapid business change support along with the ability to enable a flexible response to scope and automation needs. Bizagi's AI-enabled BPM platform and low-code/no-code application development saves development time and improves quality.

Strengths

• Best-in-class BPMN support.
• Flexibility addressing complex business processes.
• Process optimization and analytics.
• Process modeling and design.
• Predictive analytics: AI-powered analytics provide enhanced real-time decision-making.
• AI-enabled chatbots and virtual assistants provide personalized customer interaction and response.
• Routine task automation handled by AI agents.
• Advanced customer interaction and data analysis uses machine learning to process large amounts of complex data.
• Prebuilt connectors to OpenAI and Azure AI Services.
• Advanced AI security and governance applied at multiple levels.
• Scalable for local on-premises work and cloud deployments.
• Low-code process automation.

Weaknesses

• Limited AI capabilities with minimal generative AI support.
• Weak advanced analytics.
• Somewhat limited out-of-the-box features.
• Customer and technical support have been reported as sometimes being slow.
• Simulation and optimization weaknesses.
• Reporting and analytics capabilities weaknesses.
• Steep learning curve -- machine learning capabilities need to be improved.
• ERP and RPA integration can limit seamless integration and should be improved.

iGrafx

Founded in 1991, iGrafx is headquartered in Tualatin, Ore., with offices in North America, France, Germany and Japan. With the October 2024 release of its AI assistant called Pai, the vendor has completed the multiyear conversion of its BPM products to GenAI.

To date, iGrafx has focused mainly on the financial, telecommunications, manufacturing, healthcare, and insurance markets. Its products are process intelligent-first, not a classic workflow automation suite like Appian or Bizagi. Its BPM products focus on process discovery, modeling, analysis and governance, often feeding automation platforms rather than replacing them.

Core BPM products

The iGrafx BPM product platform, iGrafx Process360 Live, consists of individual product modules that provide support for different aspects of BPM work. They include the following:

• iGrafx Process Modeling. Enterprise process mapping, documentation, and standardization. Supports BPMN 2.0, UML, value stream mapping, has a hierarchical process architecture with versioning and approvals and a central process repository.
• iGrafx Process Mining. Provides analytics to monitor, discover and report issues in process operations.
• iGrafx Process Designer. Supports business and digital automation modeling, analysis, solution design, low-code and no-code development, testing and deployment planning.
• iGrafx Process Simulation. Enables model workflow, simulates operations, iteratively improves design, predicts situational outcomes, identifies bottlenecks and other issues, and recommends improvements.
• iGrafx Process Repository. A data storage tool that doesn't use AI.
• iGrafx Process Governance. Provides process governance, management and improvement reporting.
• iGrafx Process Optimize. Process and workflow analysis to find and recommend ongoing improvements to sustain optimization.
• iGrafx Risk and Compliance Manager. Maps and models processes; designs, simulates and optimizes process models; performs risk analysis; and monitors compliance against rules and limits.

Additionally, iGrafx University Learning Hub is no longer offered as a separate product; it is bundled with customer subscriptions, professional services and partner enablement programs. It is now typically branded as part of iGrafx Learning, iGrafx Academy or Customer Success resources -- depending on contract and region.

The vendor offers an end-to-end BPM suite of capabilities, from process analysis and current-state modeling through redesign, simulation, performance analytics, application modeling, and low-code application generation and use. Chatbots, AI assistants and AI agents are generated internally and through integrated third-party AI tools and can be embedded in workstreams. The platform, which includes low-code or no-code application generation capabilities, supports integration with other tools, customization, and scalability that can handle rapid changes.

Recent improvements

There is now tighter integration between process mining and modeling, enabling stronger round-tripping between mined and modeled BPMN processes. This reduces the disconnect between discovery and design and supports continuous improvement loops.

The user experience (UI/UX) is much improved, with a cleaner, more modern web UI, faster navigation in large repositories and simplified model editing and review workflows.

It also has better process mining capabilities with better variant analysis, improved bottleneck and throughput views, and more scalable ingestion of event logs.

Finally, newer versions feature advanced process simulation and what-if analysis, with a more intuitive simulation setup, better visualization of outcomes and enhanced cost, time and resource modeling.

Takeaways

Because the iGrafx BPM product platform just completed a major transformation using GenAI as its foundation, its testing approach and testing quality are unknown. Until the platform is put through a published stress test, there is only limited live use data to work with.

Strengths

• Comprehensive BPM process lifecycle support.
• Advanced process simulation and reporting.
• Accelerated decision-making.
• Consolidated repository access.
• Visibility into operations and end-to-end workflow activities.
• AI-enabled optimization across processes, workflows and activities.

Weaknesses

• Complexity increases the need for technical training and the time needed to become an experienced user.
• Tech support issues include slow responses for noncritical needs.
• Drawbacks of the BPM approach include visual complexity, data synchronization and process issues.
• Insufficient documentation can make it challenging to integrate with existing IT systems.

Kissflow

Launched in 2012 in Chennai, India, Kissflow is headquartered in Wilmington, Del., and has customers in 121 countries. Its BPM platform is a cloud-based, AI-enabled group of products designed to automate and optimize client business operations.

Recently, it has shifted to a Unified Work Platform, positioning itself beyond classic BPM as a work orchestration platform for business teams. It is designed primarily for business users -- not BPM specialists -- with less emphasis on strict BPMN purity.

Core BPM products

Kissflow BPM includes the following products:

• Visual Workflow Designer. A drag-and-drop interface to graphically map out and build complex business processes without coding.
• App templates and marketplace. Offers ready-made applications for common use cases (e.g., leave, expense, onboarding) for quick deployment and customization.
• No-code/low-code development. Empowers business users to create custom apps and workflows, reducing reliance on IT.
• AI co-pilot. Assists users in creating workflows, suggesting fields and providing insights.
• Cloud-based and mobile access. Secure, anytime, anywhere access with full functionality on desktop and mobile devices.
• Process monitoring and analytics. Real-time dashboards, reports and insights to track performance and identify bottlenecks.
• Integrations. Connects with other enterprise systems (CRMs, ERPs) to centralize management.
• Governance and security. Role-based access control, permission management and audit trails for compliance.

Recent improvements

• Added generative AI.
• Streamlined application creation process.
• Improved global search capabilities.
• Streamlined workflow management audit logs.
• Improved field lookup in customization.
• Enhanced security.

Chatbots, AI assistants and AI agents

Kissflow products can generate chatbots, AI assistants and AI agents. These AI tools can be used as standalone tools or in workstreams.

Kissflow recently introduced embedded GenAI features aimed at nonprofessional developers -- including natural language workflow creation, auto-generated forms and fields, smart suggestions for routing and approvals, and basic AI-assisted data insights.

Takeaways

Kissflow is a comprehensive BPM platform offering the ability to design and build processes with generative and conversational components, while using older tech applications. One of Kissflow's aims is to use AI to simplify its platform for citizen developers who might not have a detailed level of BPM or application generation experience.

Strengths

• Workflow automation with low-code and no-code customization.
• Design, development and implementation of applications.
• Ability to generate chatbots, AI assistants and AI agents.
• Ease of use with a focus on users with limited technical backgrounds.
• Customizable prebuilt templates for common processes.
• Wide range of integration capabilities.
• Collaboration flexibility.
• Advanced analytics and reporting to track performance and make more informed decisions.
• Cloud-based infrastructure with data encryption, backups and compliance with company and Kissflow standards.

Weaknesses

• Cloud-only focus. Fully SaaS, no on-prem or private cloud options. That means faster feature delivery, but less flexibility for regulated industries.
• AI is assistive, not deeply embedded in execution logic. Less governance and explainability than enterprise BPM platforms.
• High learning curve.
• Customer support delays or difficulties in problem resolution.
• Solution performance can be slow.
• Accessing old or large amounts of data can be a problem.
• Integration complexities with inconsistencies when integrating some third-party tools.
• Training and support.

Microsoft

Microsoft's BPM product, released in November 2016 as Microsoft Flow and renamed Microsoft Power Automate in November 2019, has been evolving since its debut. Today, the platform is being rebuilt as an AI-centric group of advanced offerings designed to compete effectively against other major advanced BPM and application generation tools.

Recent developments include expanding Copilot in Power Automate so makers can create and edit flow expressions and entire automations using natural language, speeding up design and reducing syntax errors. Copilot is also being embedded in desktop flows for guidance, prompt reuse, improved exception handling and work queue management during automation runtime.

The Power Automate Platform operates globally across more than 20 countries.

Core BPM products

The core BPM product group is the Microsoft Power Platform, which consists of the following products:

• Microsoft Power BI. Data analysis, data integration and dashboards.
• Microsoft Power Apps. Application development and integration.
• Microsoft Power Automate. Workflow low-code and no-code automation and the integration of large numbers of applications using prebuilt templates.
• Microsoft Power Virtual Agents/Copilot Studio. Conversational AI and chatbot tools used to expose and interact with processes through dialogue.
• Microsoft Dataverse. Data storage and management.

The Microsoft BPM product line is a combination of AI-based and AI-enhanced offerings. Also, some products, such as Visio and SharePoint, have components that remain based on traditional BPM features and have no or limited AI components.

Recent improvements

Improvements in 2025 and heading into 2026 include the following:

• Making the service even more AI-centric.
• Seamless integration with Microsoft 365.
• AI automation provides low-code and no-code application generation.
• Mobile application accessibility.New process mining and reporting focusing on quantifying time and cost savings and giving admins and analysts clearer ROI metrics for each automation and process.
• Enhanced security with privacy controls.
• Enhancements to Microsoft Copilot AI assistant to improve user experience and productivity.
• Push toward 360‑degree monitoring, centralized governance and elastic scaling so organizations can manage large automation estates more safely.

Microsoft has maintained a commitment to innovation in BPM tool capabilities. With the addition of the Copilot AI assistant, the vendor joins the list of top BPM and application-generation product lines. Both conversational and generative AI capabilities are used to enhance traditional BPM products and reduce manual intervention used to control complex processing activities.

Chatbots, AI assistants and AI agents

Copilot AI assistant is an advanced GenAI tool available through Microsoft Outlook, Windows or Microsoft 365 Applications. Copilot offers a wide range of capabilities, including support for general inquiries, interactive research, document editing and more.

Chatbots, AI assistants and AI agents can be generated through Microsoft Power Virtual Agents, Microsoft Power Automate and Microsoft AI Builder. AI Builder is a low-code tool to create custom AI models to automate processes, get insights from data and optimize operations. Power Automate focuses on workflow automation.

Chatbots can be built into applications or stand alone, with the following capabilities:

• Can be embedded in other Microsoft applications.
• Creates content, document summaries and improvement suggestions.
• Engages in real-time dialogue with a user to find information and answer questions.
• Supports advanced analytics and decision-making.
• Provides real-time guidance in application definition.
• Prebuilt templates to help expedite application definition.
• Uses continuous learning through feedback from users.
• Automates repetitive tasks.
• Aids in generating formula for applications.
• Data integration.

Takeaways

Intelligent automation and cloud-native management are the driving forces of Microsoft's BPM offering. Integrating cloud computing, AI, big data and analytic services, alongside the application of RPA to automate repetitive, rules-centric tasks aims to provide faster and continuous business transformation.

Power Automate offers a wide range of features, from advanced analytics to collaboration tools -- and the platform continues to evolve. PowerApps and AI Builder tools integrate AI and workflow models to generate low-code and no-code applications that support capabilities like object detection, test reorganization and form processing.

Strengths

• Integration with other Microsoft products.
• Application design for traditional and AI products.
• Low-code/no-code capabilities.
• Simulation.
• Simplicity, driven by a focus on citizen developers.
• Scalability and flexibility.
• Flexible data analytics.
• Strong compliance and security capabilities.
• Continuous innovation.

Weaknesses

• Licensing costs can be considerable and contracts are complex. Some advanced features require extra licensing.
• Limited out-of-the-box features.
• Navigation between tools can be challenging.
• Integration with third-party vendor products can be difficult.
• Power Automate tool complexity can require a longer time commitment from developers.
• Performance in complex, high data volume situations can be a problem.
• Custom large applications and special requirements might be challenging.
• As these tools are designed for cloud-based environments, there can be difficulties when dealing with offline environments.
• Reporting and analytics limitations.
• Lacks full process modeling capabilities.

Newgen Software Technologies

Newgen was founded in 1992 to provide digital support for enterprise content management and BPM. Headquartered in New Delhi, the company has offices in multiple locations in India and the U.S. with additional offices in the U.K., Europe, Australia, the Middle East, Singapore and Canada.

The company focuses on transformation, helping companies accelerate their digital efforts and run flexible operations. Intelligent process automation is a big push. Newgen's BPM platform, called NewgenOne, was released in 2021 and is continuously updated. In August 2024, the vendor added advanced GenAI capabilities with the integration of NewgenOne Marvin.

Core BPM products

The NewgenOne Platform provides rapid point-and-click application generation, using conversational and GenAI capabilities in the design and construction features; software can be built using low-code or no-code application generation. NewgenOne Marvin uses GenAI to pull information from processes and documents to quickly design applications. Products and capabilities include the following:

• OmniFlow iBPS/NewgenONE BPM. Flagship BPM suite providing process orchestration, case management, robotic process automation (RPA), and mobile/web interfaces for complex enterprise workflows.​
• NewgenONE low-code process automation. Centrally manages business rules, streamlining business processes and complex automation through RPA. Newgen Process Modeling. Designs business processes, workflows and activities.
• Newgen dynamic case management. Manages communications in a dynamic environment.
• Newgen contextual content services. Sends custom messaging to customers and manages content generated in business processes.
• Newgen process orchestration. Optimizes end-to-end workflows.
• Reporting and analytics. Analyzes work to optimize processes and provide reports and recommendations using drill-down dashboards.
• Prebuilt industry solutions on BPM. Domain solutions (especially for banking, insurance, and healthcare) such as loan origination, account opening, claims and service requests -- all built on the underlying BPM/iBPS engine.

Recent improvements

The revamping of Newgen's BPM platform around an AI‑first, low‑code NewgenONE architecture, along with 2024–2025 updates centered on GenAI-driven design, intelligent automation and stronger governance and security are evidence of the vendor's commitment to innovation and includes the following capabilities:

• Comprehensive intelligent process automation.
• GenAI-enabled process and workflow discovery, analysis and modeling.
• Low-code and no-code application generation for business and technical designs.
• Automated metadata classification and extraction.
• Speech-to-text translation.
• RPA generation of applications to automate repetitive tasks.
• Improved project governance and security.
• GenAI-enabled discovery, analysis, and modeling of processes and workflows.
• Intelligent process automation and orchestration
• Broader intelligent process automation capabilities, combining AI/ML, RPA and dynamic case management to automate complex, content-centric, end-to-end enterprise processes.
• Strengthened low-code and no-code application generation for both business and technical users.
• UX and productivity improvements
• Governance, security and recognition in 2025

Chatbots, AI assistants and AI agents

AI is embedded for process orchestration, content intelligence, and low-code assistance, so models help interpret documents, make routing decisions, and assist in designing workflows and applications.

Chatbots, AI assistants and AI agents can be generated from NewgenOne BPM products and used separately and as part of both NewgenOne offerings. Prebuilt chatbots and AI assistants in the NewgenOne Marvin platform can be easily integrated into low-code application development projects.

Takeaways

Newgen's vision for the future of BPM is based on AI to make digital transformation more effective and efficient.

Strengths

• Low-code and no-code platforms offer a rapid development environment, reducing much of the application coding.
• AI-enabled design and development reduce time and effort.
• GenAI underlies many of the digital capabilities, helping developers to choose the best tools for the task.
• AI and data science enable data-driven decision-making and process optimization.
• Advanced governance and security guarantee business operations and digital support capabilities comply with policy and law.
• Newgen has strong enterprise content management and document automation capabilities, tightly integrated with processes.

Weaknesses

As with other BPM and digital products, operational weaknesses will be discovered over the project and use lifecycles. Some of these weaknesses include the following:

• Software complexity requires considerable knowledge and experience, making training and mentoring important requirements.
• Some aspects of the software are described as outdated.
• Integration and customization with complex software environments can be difficult.
• Integrating with legacy applications can be difficult.
• Customization can be limited and difficult.
• Customers have noted problems with vendor response.
• Implementation costs related to complexity, training and documentation.
• User interfaces can occasionally be non-intuitive.

Nintex

Nintex was founded in 2006 in Melbourne, Australia, and moved its headquarters to Bellevue, Wash., in 2013. Its comprehensive process automation platform, Nintex Automation Cloud, is a mix of AI products and traditional technologies. The transition to GenAI-enabled offerings, begun in 2018, has been a gradual process -- the 2024 release of an AI version of its Workflow Generator is the vendor's most recent milestone.

In the past year, Nintex has shifted its focus to full process automation, enhancing platform integration, AI-driven automation, document generation and governance, while targeting mid-market and enterprise clients in the Microsoft and Salesforce spaces.

Core BPM products

Nintex isn't a traditional pure-play BPM suite like Appian, Pega or Bizagi. Instead, it offers BPM features through its integrated automation platform, which combines several products to handle process modeling, execution and optimization. Nintex products include the following:

• Nintex Workflow Generator (cloud and on-prem). Used to create workflows from verbal descriptions.
• Nintex Process Manager (formerly Promapp). Does process modeling, documentation, and governance.
• Nintex Process Capture. Builds process models using text AI prompts.
• Nintex Assistant. Intelligent chatbot that uses NLP to help users understand processes and find information quickly.
• Nintex AI Form Generator. Creates customizable forms from verbal input as part of Nintex Forms.
• Nintex AI Form Translator. Translates forms into different languages, making them accessible worldwide.
• Nintex Automation Cloud. Supports workflow automation in a cloud environment.
• Nintex for SharePoint. Workflow automation for SharePoint users.
• Nintex for Office 365. Workflow automation for Office 365 environments.
• Nintex Process Manager. Support process modeling.

Recent improvements

The following product improvements are focused on productivity, manual effort reduction and process visibility:

• Better platform cohesion and workflow integration.
• Cleaner visual workflow designer.
• Improved security.
• Continued integration of GenAI in process and workflow model creation.

Chatbots, AI assistants and AI agents

Nintex's Chatbot Builder was quietly discontinued and absorbed into Nintex's broader integration-first, platform-partner strategy. It was not replaced by a direct, like-for-like Nintex chatbot product.

Instead, chatbots are implemented through integrations with bots such as Microsoft Teams bots, Microsoft Copilot-triggered flows, and third-party chatbot platforms like Power Virtual Agents and Azure Bot Service.

Takeaways

Nintex is committed to using generative and conversational AI to make its products accessible to users with limited technical skills. The company is open to collaborating with customers and partners to drive innovation. This is in response to increasing demands for automation, AI enablement and digital transformation.

Strengths

• Easy to use.
• Simplified interfaces.
• Low-code and no-code application generation capabilities.
• Scalability.
• Mobile accessibility.
• Customization.
• Advanced analytics.
• Services and product support.
• Process modeling and documentation.
• Security.
• Platform integration.
• Strong ties with Microsoft products.

Weaknesses

• Not a fully BPMN 2.0-compliant system yet.
• Limited agentic AI.
• Steep learning curve and user experience issues due to complexity.
• Integration issues.
• Automation problems.
• Focus on large companies.
• Reliance on third-party vendors.
• Limited non-cloud development.

Oracle

The Oracle BPM Suite has continued its long decline, with no meaningful feature enhancements, no visible roadmap investment and no repositioning effort. Oracle's BPM strategy is now firmly centered on Oracle Integration Cloud (OIC) and Visual Builder, with Oracle BPM Suite effectively in maintenance mode.

The year for OIC was marked by incremental functional improvements, tighter OIC alignment and stronger AI messaging, rather than major architectural changes. OIC is now firmly integration-first and cloud-native.

Core BPM products

Oracle Integration Cloud is a bundled cloud service composed of several integrated components that collectively serve as Oracle's platform for integration, orchestration and basic workflows. They break down as follows:

• Oracle Integration (OIC Integration Insight/Integrations). Application and data integration foundation with prebuilt adapters, synchronous and asynchronous integrations and event-based and scheduled integrations.
• Oracle B2B Trading Partner Management. Trading partner onboarding with EDI document exchange, message tracking and validation and protocol support.
• Oracle Streaming Service. Integrated event-driven architecture support.
• Oracle Integration Insight. Business metrics and monitoring.
• Oracle Visual Builder. Low-code web and mobile UI design.
• OIC Identity and Access Management. Authentication and authorization.
• OIC Events and Functions. Automation extensibility.

Recent improvements

Oracle has ramped up OIC development to rapidly bring it up to speed with competitive products, starting with AI-assisted integration and automation. It has recently added AI-powered mapping suggestions in integration flows, natural-language prompts to help create integrations faster and is taking early steps toward AI-assisted troubleshooting.

It has also added tighter integration with OIC AI Services for invoice and document processing, data extraction from unstructured documents, and can now be embedded directly into OIC integration and B2B flows.

There have been improvements in connectivity and adapters, including an expanded adapter ecosystem and updates to existing adapters (Oracle SaaS, REST, FTP, Streaming Service), as well as faster compatibility updates with Oracle Fusion Applications, NetSuite and the Autonomous Database.

Takeaways

The big picture trend is that Oracle Integration Cloud is rapidly picking up where Oracle BPM 11g left off as Oracle evolves the software. Oracle Integration Cloud has matured into a strong enterprise-grade iPaaS and automation platform, especially for Oracle-centric environments. The software is evolving in three clear directions: AI-assisted integration and automation; business-level observability, not just technical monitoring; and stronger convergence of iPaaS, B2B, and low-code process automation.

Strengths

• Best-in-class integration with Oracle Applications.
• Unified integration, B2B and Process Automation platform.
• Strong low-code productivity for integration teams.
• Enterprise-grade security and governance.
• Robust B2B and EDI capabilities.
• Scalability and reliability on Oracle Cloud Infrastructure.
• Process automation with human-in-the-loop.
• Observability and business insights.
• Lower total cost in Oracle-heavy shops.

Weaknesses

• High cost and complex licensing.
• Steep learning curve and Oracle-centric design.
• Limited DevOps and CI/CD maturity.
• User experience and design tooling gaps.
• Process automation is not best-in-class BPM.
• B2B/EDI still trails specialist platforms.
• Performance transparency and quotas.
• Vendor lock-in.

Pegasystems (Pega)

Founded in 1983, Pegasystems -- better known as Pega -- has become a leading provider of low-code and no-code BPM products and AI-powered decision offerings. Headquartered in Cambridge, Mass., Pega has more than 40 offices worldwide, including the Americas, Europe, the Middle East, Asia, and Australia.

Core BPM products

The products in the Pega Infinity platform support traditional and AI capabilities and include the following:

• Pega Platform. Provides process modeling, low-code automation and AI-powered decision support.
• Pega Process AI and Decisioning (Embedded). AI-driven decisioning tightly embedded into BPM execution.
• Pega Case Management (flagship BPM capability). Pega's interpretation of BPM: cases instead of rigid processes.
• Pega App Studio and Dev Studio. App Studio: low-code, business-friendly design. Dev Studio: advanced development for complex BPM logic.
• Pega Intelligent Automation. Combines BPM, RPA and AI to provide digital application generation for workflows for end-to-end process automation.
• Pega RPA. Automates repetitive, rules-based task work with low-code application generation; no-code application generation is also supported.
• Pega GenAI Blueprint. A tool that assists with workflow management and task design.
• Pega Process Mining. Provides workflow analytics to visualize and assess processes.

Buyers should be aware that application generation is a combination of manual and automated tasks. While AI assists in many of these tasks, task initiation is generally manual.

Recent improvements

A recognized leader in BPM, Pega has a 40-year history of product evolution and performance. Recent product improvements have been designed to help customers streamline business and digital operations while helping them move from legacy to digital AI technologies. Today, Pegasystems is rapidly expanding its use of generative and conversational AI technologies to enable a wide range of capabilities in its products.

Improvements include the following:

• Pega GenAI has been expanded to include GenAI-assisted case and workflow creation, natural language prompts to create cases, stages, flows and AI-assisted rules authoring.
• Clear rationale for next-best-action decisions (important for regulated industries).
• Case management and BPM enhancements
• Low-code developer experience improvements.
• Decisioning, next-best-action evolution, better real-time personalization across channels.
• Cloud, deployment and DevOps enhancements.
• UI, UX and omni-channel improvements.
• Process mining and operational intelligence.
• Governance, security and compliance.

Pega's Intelligent BPM (iBPM) product integrates AI capabilities, rules and robotics to determine process and drive business outcomes for complex business operations.

iBPM supports AI-based decision-making, process monitoring, predictive analytics and solution recommendations, along with knowledge management, process mining and flexible GenAI capabilities.

Chatbots, AI assistants and AI agents

Pega uses a multitude of chatbots in various ways to expedite business operations and to design and redesign applications as required. Pega Chat is the native conversational UI for web chat, mobile apps and messaging channels, offering guided conversations driven by case types and flows and context-aware dialogs.

Its Pega GenAI Assistant is a generative AI copilot embedded into App Studio and Dev Studio with natural language assistance for flows and rules, suggested next actions during case work, and AI-generated summaries and explanations.

Pega Autonomous Agents are long-running, goal-oriented agents that monitor events, make decisions, and trigger cases, actions or automations. Another agent, called "Invisible AI Agent," is a decisioning engine that behaves like a continuous AI agent for next-best-action.

They also support integration with external LLMs and AI services from OpenAI/Azure OpenAI, Google Vertex AI, Amazon Bedrock and custom enterprise LLMs.

Takeaways

Pega offers a comprehensive group of BPM transformation products that work together to deliver flexibility and significant capabilities. Pega states that it's futureproofing its products by staying ahead of new technologies and trends in AI capabilities. The suite's chief drawback was AI support, which was considerably complex. But it has addressed this through natural language use and chatbots.

Strengths

• Infusion of GenAI capabilities into Pega products.
• Process redesign with low-code or no-code application generation capabilities, including the generation of RPA.
• Advanced AI-based analytics.
• Simulation capabilities.
• Dynamic case management to deal with unstructured data.
• Scalability.
• Security advancements.
• Best-in-class case management. Pega is case-centric, not just flow-centric.
• Designed for long-running, exception-heavy, human-driven work.
• End-to-end automation. Pega orchestrates people, systems and bots in one model.
• Unified Platform. BPM, case management, decisioning, AI, UI, and RPA are one platform.

Weaknesses

• High cost and complex licensing.
• Complexity can result in a steep learning curve.
• Can be challenging to upgrade.
• Integration with legacy applications.
• Complex UI customization.
• Limited AI/machine learning customization.
• Rule management complexity.
• Complex analytics.
• Pega BPM is case-centric, not BPMN-centric.Rigid architecture and vendor lock-in.
• Conservative AI autonomy. Pega's AI agents are highly governed and rule-constrained.

Progress Software

Founded in 1981 as Data Language Corp. and renamed Progress Software in 1987, the vendor is headquartered in Burlington, Mass., with offices in the U.S., Europe and South America. The vendor enhanced its BPM capabilities through the acquisitions of BPM vendor Savvion in 2010 and rules management and decision analytics firm Corticon in 2011, laying the groundwork for its shift to AI and machine learning.

Core BPM products

Progress Software uses both conversational and GenAI in its BPM products including the following:

• Progress OpenEdge BPM. Being de-emphasized in favor of Corticon.
• Progress MarkLogic Server. Built to handle complex data and control management, data integration and data security across a company, the MarkLogic multimodal database was acquired in 2023. It is not BPM but runs alongside BPM products.
• Progress Corticon. Integrated with AI capabilities, Corticon provides business rules management and automated decision-making.
• Progress Kinvey. A cloud service to develop applications.
• Progress Telerik and Progress Kendo UI. AI-based UI tools to build applications.
• Progress DataDirect. A suite of data connectivity products that controls data access, integration, connectivity and security.
• Progress Moveit. Secure file transfer, sharing and file transfer analytics.
• Progress Flowmon. AI-powered network traffic, flow and threat detection with network intelligence and threat response.
• Progress Podio. Project management and team collaboration provider acquired in Sept. 2024.
• Progress Sitefinity. AI-driven tools for content creation and management.
• Progress Fiddler Everywhere. Web debugging with AI web traffic analysis and debugging.

Recent improvements

Progress Software has been modernizing across infrastructure, data, integration, UI, and automation rather than building a single BPM-style platform, starting with the shift from OpenEdge to the AI-oriented Corticon. Corticon features better cloud-native deployment, improved containerization and Kubernetes support, and enhanced REST service generation for decisions.

Progress MarkLogic is being positioned as a trusted data hub for AI and RAG architectures, supporting JSON-first development and cloud-native deployment on AWS, Azure and Kubernetes.

Progress DataDirect features expanded support for cloud data warehouses such as Snowflake, BigQuery, and Redshift as well as SaaS platforms. It is increasingly positioned as a data fabric/virtualization layer.

Chatbots, AI assistants and AI agents

Progress Software doesn't offer a unified chatbot or AI-agent platform like Pega, ServiceNow, or Salesforce. Instead, it enables AI solutions through its data, decision, integration, and UI products, without serving as an AI front end.

Takeaways

Progress Software is taking a very different approach to BPM. Progress no longer positions BPM as a primary growth pillar. BPM primarily exists to support legacy customers and adjacent platforms, not to lead innovation. Progress BPM (formerly Savvion) is in maintenance mode with no major roadmap investments in low-code BPM or AI-driven process automation.

Progress BPM remains heavily influenced by its Savvion heritage, while Corticon is more strategically important than BPM. Progress BPM is optimized for existing Savvion customers, not net-new buyers.

Strengths

• Progress BPM excels at deterministic, transactional workflows where reliability matters more than agility.
• Advanced workflow management with model simplification and AI-based analytics.
• Seamless integration with other Progress Software products and application systems.
• Real-time monitoring with visibility into performance.
• Improved scalability and security.
• Strong rules integration via Corticon.

Weaknesses

• The tools are complex and require a long learning curve.
• Integration with other systems can be complex and difficult.
• Costs can be high.
• Aging architecture and UX.
• Weak low-code.
• Poor cloud-native and saas appeal.
• Sparse innovation and roadmap visibility.
• Limited ecosystem and marketplace.
• Poor competitive story for new buyers.
• Shrinking mindshare and talent pool.

UiPath

Founded in 2005 in Bucharest, Romania, UiPath now serves customers in more than 100 countries. Originally named DeskOver, the company was renamed UiPath in 2015 as it evolved from a major RPA vendor to a BPM automation vendor. Headquartered in New York, UiPath released its first GenAI offering in 2023 with the Ada AI Assistant and multiple AI Agents.

Core BPM products

UiPath products and capabilities include the following:

• UiPath Studio and Studio Web. A drag-and-drop visual modeler that supports process modeling, workflow automation, simulation and solution optimization.
• UiPath Robot. A digital AI agent that performs control and government tasks.
• UiPath Orchestrator. A digital console that tracks application configuration and deployment with performance monitoring and governance.
• UiPath Process Mining. Accesses process monitoring information and runs it through different algorithms to ensure the operation is optimal.
• UiPath Automation Cloud. Cloud-based capability deals with scalability, security and solution deployment.
• UiPath Apps. Human task UI for processes.
• UiPath Action Center. Task management and work queue.
• UiPath Task Mining. Desktop-level process discovery.
• UiPath Integration Service. Integration layer for processes.

Application development is a multistep process, with each step having to be started manually.

Recent improvements

UiPath has evolved from an RPA tool into an AI-powered automation and orchestration platform, closing much of the historical gap with BPM without becoming a traditional BPM suite.

UiPath has repositioned the platform around AI-powered automation, moving beyond classic RPA. It has expanded its Autopilot for Automation to include natural-language automation creation, context-aware suggestions in Studio and Orchestrator, AI-assisted debugging and optimization and a variety of generative AI features.

Studio Web has achieved more parity with desktop Studio, the UX has been cleaned up and modernized. Long-running process orchestration is improved. Process mining and task mining are significantly matured. Governance, security and enterprise controls have also been enhanded.

Chatbots, AI assistants and AI agents

UiPath's primary AI assistant, Autopilot, provides natural language assistance for creating models and workflows. UiPath chatbots can use and generate other AI assistants. Integrating with external products such as Google Dialogflow, Microsoft Bot Framework and IBM Watson allows UiPath to generate a variety of chatbots.

Takeaways

With a foundation as a major RPA vendor, UiPath made the jump to BPM application modeling, generation and process management and then to AI product integration.

UiPath's vision of the future is to help customers create fully automated business operations using RPA, AI and BPM. Continuous process optimization, advanced performance monitoring, intelligent decision-making, predictive analytics and automated responses to legislation, opportunities and operations optimization needs are all part of UiPath's AI-centric approach.

Strengths

• UiPath excels when automating high-volume operational work and scaling automation across large enterprises.
• The integration of AI capabilities to improve intelligence in the automation process.
• Advanced AI and machine learning are embedded into automation workflows.
• UiPath BPM tools address all phases of automation.
• Ability to scale support for all sizes of automation projects.
• Low-code and no-code application generation.
• Easy-to-use modeling capabilities.
• Broad library of prebuilt applications components and templates.
• Advanced AI-enabled process monitoring with real-time analytics.
• Integration flexibility.
• Cloud-based and on-premises product deployment.
• Advanced security and compliance governance.
• Best-in-class RPA capabilities.
• UiPath covers the full automation lifecycle.

Weaknesses

• Complexity requires considerable training -- there is a steep learning curve.
• Technical understanding, including programming skills, is required of all users.
• Integration with legacy and other applications can be difficult.
• Using these tools can be resource-intensive in larger companies due to complexity.
• Products require regular monitoring and maintenance to remain optimal.
• Limited AI capabilities.
• Limited advanced analytics capabilities.

• No native, business-friendly BPMN 2.0 modeling.
• Limited case management capabilities.
• Process modeling is harder for business users.
• Cost and licensing complexity.