TLDR: Constellation Research reports a significant shift in enterprise technology with the convergence of AI agents, automation, and process mining. This trend is driven by enterprise software vendors integrating process mining into their platforms to enable agentic AI, aiming for decision automation and intelligence rather than mere experimentation. Key industry players like Box, Cognizant, Microsoft, and ServiceNow are already leveraging these integrated approaches to enhance efficiency and drive ROI.
A new report from Constellation Research, authored by Larry Dignan and published on September 14, 2025, highlights a pivotal convergence in enterprise technology: the integration of AI agents, automation, and process mining. This development signals a strategic shift among enterprise software vendors, who are increasingly recognizing process mining as a foundational enabler for agentic AI within their platforms.
According to Dignan, “Enterprise software vendors appear to be coalescing around the idea that process mining is an enabler for agentic AI and should be built into platforms.” This integration is not merely about technological adoption but about achieving “decision automation and decision intelligence” rather than the “wild acts of AI experimentation” that characterized earlier phases of AI implementation, as noted in a related Constellation Research report on AI Trends for 2025 and Beyond.
The report underscores that 2025 is a critical year for bringing AI into production, especially given that only 13% of AI proof-of-concept experiments in 2024 successfully transitioned into full-scale projects. The convergence of these technologies aims to address this challenge by providing a more structured and data-driven approach to AI deployment.
Several industry leaders are already demonstrating this trend:
Box: CEO Aaron Levie recently unveiled Box Extract, Box Automate, and new Box Apps features, specifically designed to prepare for a future where AI agents may outnumber human workers.
Cognizant: CEO Ravi Kumar emphasized that agentic AI use cases can create a “self-funding flywheel” for enterprises, starting with software development and extending across various other processes.
Microsoft: The company has launched role-based Copilots for sales, service, and finance, integrating these specialized AI assistants into Microsoft 365 Copilot.
ServiceNow: With its Zurich release, ServiceNow has incorporated tools for easier AI app and agent development, digital worker identity attachment, and the seamless integration of process and task mining into agentic workflows.
Hitachi Digital Services: The company introduced HARC Agents, a library of over 200 pre-built AI agents for diverse industries and use cases, alongside an Agent Management System for centralized control of multiple agentic AI platforms.
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This convergence is set to redefine the future of work by creating more engaged, empowered, and efficient workforces through intelligent automation and data-driven insights.
