Skan AI Introduces Agentic Business Context Foundation: Behavioral Observation Layer for Enterprise AI Agents

PR Newswire·medium signal

Skan AI announced ABCF on May 26, a framework that captures the operational context traditional enterprise systems miss — human reasoning, exceptions, and informal workarounds — and converts it into structured context for AI agents. Built on a seven-dimensional context model with a compounding error taxonomy, the framework addresses a critical gap where agents trained only on documentation and event logs fail at high-value edge cases. Skan's research claims a 1% gap in observational coverage compounds to roughly a 40% failure rate by the time agents execute multi-step workflows.