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.