Skan AI Launches Agentic Ontology of Work for Enterprise Automation

February 11, 2026
Skan AI has introduced the Agentic Ontology of Work (AOW), a standardized framework designed to unify how humans and AI agents collaborate within enterprise systems. The ontology defines key elements like agents, skills, intents, and policies to improve interoperability and governance in agentic automation.
Skan AI Launches Agentic Ontology of Work for Enterprise Automation

Skan AI has launched the Agentic Ontology of Work (AOW), a standardized framework defining how humans and AI agents collaborate in enterprise environments, announced in a press release. The ontology provides a common language for describing and managing elements of agentic automation such as agents, skills, intents, contexts, policies, memory, confidence, and outcomes.

By formalizing these components, AOW enables interoperability, governance, and explainability across enterprise AI systems. It is integrated into Skan AI’s Observation-to-Agent (O2A) Platform, supporting agent orchestration, telemetry modeling, and governance assurance.

Skan AI plans to make portions of the ontology available to partners and customers through its Governed Autonomy Accelerator Program. The company describes AOW as a foundation for what it calls “Agentic Cohesion,” where digital workers, AI models, and humans operate together under unified enterprise control.

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