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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.

Available now for Syntasso Kratix Enterprise (SKE) users, the Promise Testing Framework enables you to focus on developing your Promise code, while we handle testing to ensure it works as expected. Check out the Promise Testing Framework docs!

Giving developers autonomy to provision infrastructure is now a table-stakes requirement for modern internal developer platforms (IDPs). What happens when a critical vulnerability is found in a shared service such as a database? This is where Kratix steps in. It enables you to build internal platforms where developers can self-serve, while providing platform engineers with powerful tools to manage services across the fleet.

We’re heading to Atlanta for KubeCon + CloudNativeCon North America 2025, and this year’s lineup is one you won’t want to miss. From insightful talks on platform engineering patterns to deep dives into Kubernetes observability, the Syntasso team will share practical lessons, open-source insights, and a new O’Reilly report that’s shaping how enterprises think about internal developer platforms.

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.