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Skan AI Unveils the Agentic Ontology of Work

On February 10, 2026, Skan AI, a frontrunner in agentic process automation, launched a revolutionary framework known as the Agentic Ontology of Work (AOW). This first-of-its-kind standardized language is set to transform how humans and AI agents collaborate in the realm of intelligent automation. As businesses continue to embrace autonomous systems, Skan AI has identified the critical need for a common vocabulary to facilitate smoother interactions and management of tasks.

The AOW aims to provide enterprises with a comprehensive language they can use to describe, coordinate, and oversee workflows involving people, AI systems, and automation tools. Key components of this ontology include Agents, Skills, Intents, Contexts, Policies, Memory, Confidence, and Outcomes. By defining the relationships among these elements, AOW ensures a solid foundation for interoperability and governance across complex enterprise environments.

According to Manish Garg, co-founder and CPO of Skan, the introduction of AOW is a necessary step in unifying the disparate tools present in the market today. He stated, "Enterprises are investing heavily in autonomous systems, but without common standards, integration becomes chaos." The AOW provides a language that enables agents to comprehend context and adhere to policies while engaging in continuous learning, creating a safer and more scalable approach to automation.

Avinash Misra, Co-founder and CEO of Skan AI, likened AOW to the Rosetta Stone for enterprise AI, emphasizing its role in bridging the gap between human intent and autonomous execution. He remarked, "Now you'll be able to model work processes, policies, and agent behavior all in the same language. For the first time, we can have a set of guardrails that work hand in hand with automation."

Recognizing parallels with Service-Oriented Architecture (SOA), which standardized the descriptions of services, the AOW establishes a similar framework for Agentic AI. This will allow intelligent systems to reason, act, and learn within a uniform, policy-compliant structure.

The AOW is already being integrated into Skan AI's flagship Observation-to-Agent (O2A) Platform, enhancing agent orchestration, telemetry modeling, and governance processes. Additionally, Skan plans to share key parts of the ontology with partners and enterprise clients through its Governed Autonomy Accelerator Program, further promoting collaboration and innovation in the industry.

This launch signifies a pivotal chapter in Skan AI's mission to usher the automation sector beyond fragmented solutions, aspiring towards a vision they call Agentic Cohesion, where digital workers, AI models, and humans collaborate seamlessly under stringent enterprise control.

Defining the ontology at this critical juncture not only positions Skan AI as a technology innovator but also as the architect nurturing the concept of the Agentic Enterprise. In doing so, they aim to set standards that empower others in the ecosystem to harness the full potential of automation.

For those interested in exploring further, the full Agentic Ontology of Work document can be accessed here.

About Skan AI

Skan AI is dedicated to reshaping the way human work underpins agentic execution. By providing continuous intelligence about work processes as they evolve, Skan AI delivers a well-rounded work-aware architecture essential for enhancing both human and AI efforts. Their vision is to create synergies that lead to more efficient and meaningful work outcomes.