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Enterprises racing to adopt AI often create more risk than value. To mitigate these risks, AI needs the same treatment as every other capability in the internal developer platform (IDP). Provide it through the platform, complete with budgets, policies, and observability from day one. That is how adoption scales without chaos.

Despite $30–40 billion already invested in GenAI, MIT NANDA reports that 95% of initiatives fail to show measurable business impact. AI has arrived, but enterprise value hasn’t. That’s where the Model Context Protocol (MCP) fits. And it’s Syntasso Kratix Enterprise that turns MCP from an unrealised opportunity into a provided-by-default reality.

Like many software delivery teams, engineers at Syntasso have been experimenting with ways to integrate LLMs into our internal developer experience. In one of our recent internal hack days, I tried wiring up a Claude Desktop interface to Kratix using FastMCP. The idea was simple: could engineers ask natural-language questions, assemble a platform, and get something deployed without learning YAML or kubectl?