Why Context Is the Missing Layer in Enterprise AI | MathCo

Context is not a line item in most enterprise dictionaries. It should be. In this conversation, Saurabh Gupta, President, HFS Research, and Anuj Krishna, Cofounder and President Technology and Growth, MathCo, dig into the question that's quietly stalling enterprise AI: who owns context, and what happens when nobody does. Some of the sharpest points from the discussion: ✅ Almost two-thirds of enterprises admit they don't know where their organizational context even resides ✅ Context needs its own stewards, the same way data stewards emerged for data ✅ It behaves like a river. Capture it once and it's already changed by the next moment ✅The real cost isn't building AI agents. It's the ongoing cost of verifying their choices are right Anuj also breaks down three ways enterprises are approaching context today: as a dedicated program, as a function-by-function build-out, or as a horizontal corpus of existing knowledge. Each works. None of them work if the enterprise doesn't own what comes out of it. The point lands hard: platforms and tech ecosystems are a renting model. Your context has to be an owning model. Because context isn't a feature. It's your organization's identity, and its only real source of sustainable differentiation as models and agents become commoditized. Watch the full conversation, and download the full HFS Take 5 report here: Enterprise AI Context Gap Report: Why AI Fails to Scale #EnterpriseAI #AIStrategy #ContextEngineering #HFS #MathCo #OwnYourIntelligence