Skan AI Launches Intelligence Framework for Enterprise AI Agents
Skan AI, a process intelligence software company that uses computer vision and artificial intelligence to map, analyze, and optimize business workflows, has introduced a new intelligence framework aimed at helping enterprises manage and monitor AI agents operating across business workflows. The Agentic Business Context Foundation (ABCF) is a technical framework that captures the context of traditional enterprise systems, human reasoning, and workarounds, and turns it into actionable context for AI agents.
The framework provides visibility into how AI agents interact with systems, processes, and users, allowing organizations to better understand operational behavior and performance. The platform is intended to support coordination and governance of agent-based AI deployments in enterprise environments. ABCF is built on direct behavioral observation of work as it is executed, structured through the Agentic Ontology of Work that Skan released earlier this year.
Skan AI said the framework focuses on analyzing workflows and operational data to help organizations identify inefficiencies, automate processes, and improve oversight of AI-driven activities. The company positioned the technology as a way to bring more structure and accountability to increasingly autonomous enterprise systems.
Posted by Pure AI Editors on 05/26/2026