https://www.techtarget.com/searchcio/tip/17-top-business-process-management-tools
Business process management software tools help companies design, model, execute, automate and improve the activities and tasks that make up a business process. Today, the discipline of BPM has become a transformation engine juggernaut infused with AI and other hyperautomation technologies that are rapidly evolving.
The critical products offered by major BPM vendors in 2026 are developed using a combination of AI-enabled process management and design, coupled with low-code automation and business optimization tools enhanced with advanced analytics and reporting capabilities. The result is a class of BPM tools that significantly surpass the versions of BPM products we have become used to.
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 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.
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'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.
AgilePoint made the following changes to its AI-based BPM product group:
Improved scalability can increase workloads without affecting performance.
AgilePoint BPM products generate AI chatbots, AI assistants and AI agents using third-party AI vendor tools.
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.
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.
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:
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:
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.
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.
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.
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:
Keep in mind that application development is a multistep process with each step having to be started manually.
Key improvements for 2026 are focused on adding AI capabilities, including the following:
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.
Both AI assistants and AI agents are custom-built using third-party AI tools.
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.
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.
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:
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.
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.
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.
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.
Kissflow BPM includes the following products:
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.
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.
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.
The core BPM product group is the Microsoft Power Platform, which consists of the following products:
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.
Improvements in 2025 and heading into 2026 include the following:
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.
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:
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.
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.
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:
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:
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.
Newgen's vision for the future of BPM is based on AI to make digital transformation more effective and efficient.
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:
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.
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:
The following product improvements are focused on productivity, manual effort reduction and process visibility:
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.
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.
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.
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 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.
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.
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.
The products in the Pega Infinity platform support traditional and AI capabilities and include the following:
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.
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'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.
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.
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.
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.
Progress Software uses both conversational and GenAI in its BPM products including the following:
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.
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.
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.
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.
UiPath products and capabilities include the following:
Application development is a multistep process, with each step having to be started manually.
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.
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.
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.
27 Feb 2026