ARIS, a pioneer in business process management, today launched Process Context for Enterprise AI. The new offering becomes the critical base layer for the agentic ecosystem. As a result, agents and applications gain the business understanding they need to deliver measurable new value.
For more than three decades, the ARIS Enterprise Model has served as the foundation for enterprise operations. Now, the company extends that legacy into the AI era. The new capabilities improve operational performance and identify where AI can deliver the most value. Moreover, they give agents access to trusted process context. Together, Object-Centric Process Mining (OCPM), Process Lens and Model Context Protocol (MCP) create an essential platform for agentic AI at scale.
Why Process Context Matters for Enterprise AI Success
Process Context now plays a critical role in deploying and scaling enterprise AI. However, it demands far more than connecting AI agents to business data. Enterprises need a comprehensive foundation that captures the relationships between processes, people, systems, risks and controls.
ARIS builds this layer on a comprehensive Digital Twin of the Organization. The twin connects how work is designed with the execution data that surrounds it. Furthermore, ARIS draws on more than 30 years of enterprise knowledge and experience. Meanwhile, new entrants to the space struggle to replicate that depth.
New research from The Hackett Group and ARIS reinforces the point. The survey covered more than 200 business executives at Global 2000 organizations. Notably, 82% agreed that Process Context is required for deploying AI agents. Yet only 21% reported comprehensive, real-time visibility into how work flows across their enterprise. Crucially, organizations using Process Context tools were more than five times as likely to report measurable ROI from their AI investments.
“Enterprise AI is entering a new phase, and the question for business leaders has rapidly shifted from ‘Where can we deploy AI?’ to ‘Where can AI create the greatest value?’” said Guillaume Bacuvier, CEO, ARIS. “The research exposes the challenge: businesses recognize that AI needs to understand how they operate, but most still lack that foundation. ARIS bridges this gap by providing the Process Context that agents need to work effectively – helping enterprises identify where AI can make the biggest impact, accelerate deployment and deliver measurable new business outcomes.”
Three Capabilities Behind ARIS Process Context for Enterprise AI
ARIS Process Context for Enterprise AI strengthens this strategic role through three capabilities.
- Object-Centric Process Mining (OCPM): It significantly expands the depth of operational insight available. As a result, companies connect a broader picture of how work is designed with increasingly detailed evidence of how it actually happens. This strengthens the Digital Twin of the Organization.
- Process Lens: It identifies where AI will have the greatest impact across the enterprise. Therefore, organizations can make a faster and more informed start with Enterprise AI and deliver measurable ROI.
- Model Context Protocol (MCP): Process Context for Enterprise AI enables AI agents and applications to access trusted Process Context through the ARIS platform. This includes the processes, roles, systems, rules, risks and controls that determine what should happen and under what conditions.
“AI agents are only as effective as their understanding of the environment in which they’re being asked to operate,” said Maxime Hambersin, Chief Product Officer, ARIS. “Our latest release brings together three critical capabilities that create a powerful, governed foundation for moving from isolated AI use cases toward scalable, controlled and value-driven agentic AI.”
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News Source: Businesswire.com
