The Enterprise Context Graph of Work: A Foundation Model Is Only as Good as the Context Behind It

Frontier models are brilliant but blind. They know everything except your company: how work actually runs, where it breaks, and the institutional knowledge that lives in no training set. This layer, enterprise context, is the most underestimated and strategically important part of the AI stack, and the hardest for any model to replicate.

Most teams try to fill it with stale documents and system logs, and agents grounded in fiction break in production.

Avinash Misra, CEO of Skan AI, is ready to explore a different path: grounding AI in a living, observed model of real work. By observing how work runs across people and systems, enterprises can build an Enterprise Context Graph of Work, a continuously updated source of ground truth that closes the gap between what agents are told and what is true. The session covers why context, not model choice, is becoming the durable advantage, and how enterprises can start mapping it today.