Process intelligence is a rapidly evolving, data-driven approach to process management that leverages advanced technologies. A key area within workflow automation, it enables organizations to collect, visualize and analyze operational data, delivering deep insights into how processes function and where improvements can be made.
Almost a quarter of surveyed organizations (23 percent) use process intelligence to support business transformation, the PEX Report 2025/26 indicates. Meanwhile, 22 percent are looking to invest in process intelligence tools in the next 12 months.
In recent years, the process intelligence market has experienced significant growth and transformation. New players continue to enter the space, introducing innovative methods for gathering insights and understanding how work gets done.
Closely related to process excellence practices like process mining and process discovery, process intelligence goes a step further. It builds on the visibility these tools offer to uncover deeper value within processes, empowering organizations to make smarter, more informed decisions.
How process intelligence software is evolving
Process intelligence software is undergoing a significant change around its target audience and the business value it provides, according to a recent Forrester report. “Previously, vendor messaging focused largely on the value of gaining visibility into processes in order to achieve (as yet undefined) operational and transformational improvements.”
Vendors today primarily highlight the value of process intelligence through specific, tangible use cases, such as reducing the costs associated with artificial intelligence (AI) agents, streamlining supply chain operations or boosting customer satisfaction.
In response, many vendors have introduced use-case-specific features and value-added packages, positioning process intelligence software as a tool to help ground AI agents by providing curated, reliable process data.
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11 top process intelligence tools
1. Celonis Process Intelligence Platform
The Celonis Process Intelligence Platform uses process mining and AI to create a living digital twin of a company’s business operations, known as the Process Intelligence Graph. The platform provides a system-agnostic, common language to connect processes and systems, enabling businesses to identify and capture value by revealing bottlenecks, inefficiencies and areas for improvement across end-to-end processes.
“Celonis is best suited to clients looking for a sophisticated platform that supports enterprise-wide process intelligence and control to transform operations,” according to Forrester.
2. ARIS
The ARIS process intelligence suite provides organizations insights into their entire business process lifecycle through AI-driven process mining, process analysis and process automation.
It helps organizations design, monitor, analyze and optimize their processes by revealing inefficiencies, ensuring compliance and automating manual tasks to achieve operational excellence and strategic alignment. Key features include process documentation, conformance analysis, root cause analysis and task mining to capture manual processes alongside system-based ones.
“ARIS is best suited to users in regulated industries who are focusing on process control, compliance and cost optimization in pursuit of holistic BPM [business process management],” Gartner says.
3. Process360 Live
Process360 Live is an end-to-end process intelligence platform by iGrafx that helps organizations discover, design, simulate and optimize business processes for improved operational efficiency and strategic alignment.
Key capabilities include process mining for data-driven insights, collaborative process design with an AI-enabled repository and simulation for testing changes before implementation. The platform supports continuous improvement, regulatory compliance and the building of a digital twin of the business to make informed decisions and transform workflows.
“iGrafx best suits customers who want to manage their business processes via the BPM lifecycle, prioritizing process discovery and analytics as a starting point,” according to Forrester.
4. Productivity 360
KYP.ai’s Productivity 360 platform uses AI to capture and analyze data across an organization, providing holistic visibility into how work gets done. It combines process and task mining to identify inefficiencies, opportunities for automation and generative AI implementation and to continuously measure the impact of improvement initiatives, helping businesses make data-driven decisions to enhance operations, employee experience and customer experience.
“KYP.ai is best suited to users with use cases like challenging AI and automation investments and increasing process effectiveness,” Forrester says.
5. SAP Signavio Process Intelligence
SAP Signavio Process Intelligence is an AI-powered process mining tool that analyzes data from business systems like ERP and CRM. It helps organizations identify bottlenecks, inefficiencies and compliance gaps, enabling them to make data-driven decisions for process improvements, automation and transformation initiatives like SAP S/4HANA transformation.
The platform offers features for data integration, investigative dashboards with various visualization widgets and collaborative tools for IT and business teams
“SAP Signavio is best suited to customers with an SAP-centered application landscape looking to transform operations or rearchitect application landscapes,” Forrester states.
6. Appian
Process intelligence is a capability within the Appian platform that provides businesses with continuous, data-driven insights into how their processes run, using AI to automatically identify inefficiencies, delays and bottlenecks.
It’s a form of advanced business intelligence and BPM that uses process mining, machine learning and low-code development to monitor, analyze and optimize processes for better decision-making, improved customer satisfaction, reduced costs and enhanced operational efficiency.
“Appian is best suited to clients with a data-driven mindset in industries where process differentiation is core to winning in the market,” according to Forrester.
7. Apromore Enterprise Edition
Apromore Enterprise Edition is built on a robust open-source process mining technology that enables organizations to discover, analyze, simulate and monitor their business processes. It provides advanced features for process discovery, performance mining, compliance checking, simulation and process monitoring.
Apromore Enterprise Edition helps businesses improve operational efficiency, reduce costs, enhance customer experience and manage risks by analyzing their transactional data.
“Apromore is best suited to FSI customers pursuing general process improvement scenarios or prioritizing continuous process compliance,” Forrester says.
8. IBM Process Mining
IBM Process Mining is AI-powered software that analyzes enterprise system data. The tool uses data mining algorithms on event logs to create visual process models, enabling businesses to pinpoint bottlenecks, ensure compliance, predict trends and simulate process changes for better decision-making.
“While tailored more to midsize organizations, IBM also suits large organizations that want to connect process insights with subsequent process orchestration,” Forrester states.
9. ABBYY Timeline
ABBYY Timeline is a cloud-based platform for process intelligence combining process mining, task mining and simulation to provide insights into business processes. By creating a digital twin of processes, ABBYY Timeline enables businesses to optimize operations, plan for automation, predict future outcomes and improve overall efficiency.
“ABBYY is best suited to customers looking for a solution that focuses on the essence of process intelligence with strong core capabilities and that democratizes access for non-technical users,” according to Forrester.
10. mpmX
mpmX by MEHRWERK integrates with existing data platforms like Qlik and Snowflake to provide transparency, identify inefficiencies and enable data-driven improvements by creating process models from data extracted from IT systems.
It is a modular solution that helps various industries achieve operational excellence (OPEX) by uncovering bottlenecks and improving performance through AI and self-service capabilities.
“MEHRWERK is best suited to Qlik clients who want a low barrier to adoption as well as buyers with a strong focus on limiting vendor lock-ins through an open architecture,” says Forrester.
11. UiPath Discovery Suite
The UiPath Discovery Suite is a portfolio of tools that helps organizations identify, analyze and document business processes to find opportunities for automation and improvement. Its core purpose is to give businesses a data-driven understanding of how work actually gets done, rather than how it is assumed to be done, to enable continuous process optimization.
“UiPath is best suited to customers who intend to increase their process automation by using process insights to design better processes before automating them,” Forrester says.