Agentic AI Won’t Scale Without Enterprise Context

InnovationAgentic AI Won’t Scale Without Enterprise ContextByDeepak Khosla,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 26, 2026, 04:45pm EDT​Deepak Khosla is Chief Growth Officer & Head of AI Business at Impetus Technologies, Inc. gettyFor many CTOs, the first question around agentic AI has been which model to use or how much to invest in fine-tuning, prompt engineering and infrastructure. Those questions matter, but they are not the full strategy. In my view, models are not the moat. One model may lead today, and another may catch up a few months later.The real reason we still see so many agentic AI solutions sitting in sandbox environments, or moving into production only as chatbot-oriented use cases, is that more complicated AI solutions are missing something very key—context.Context is what makes agentic solutions perform better, think better, take actions and repeat actions—and do so in a uniform way. Without it, even the best model will struggle to do real enterprise work.This is also a cost issue. Without the right context, enterprises may spend far more on memory, inference, tokens and storage to get the same result. A strong context and semantic layer help agents perform better while making cost and FinOps easier to manage.Agentic AI Is Not A Smarter ChatbotOne misunderstanding I see is that many leaders still think of agentic AI as a smarter chatbot because many use cases so far have been chatbot-oriented. But the right agents, if built correctly, will take action, make a sequence of decisions, operate with some level of agency and work continuously toward an outcome.Once you move into that kind of environment, the problem is not only the AI solution itself or the power of the model. The problem is context.The second misunderstanding is that many CTOs believe the constraint is the model. They spend...