Infrastructure AI Readiness

Jentic AIR

Prepares existing platforms for use by AI.

Most AI pilots don't fail because the agents are weak. They fail because the APIs the agents depend on were never built with agents in mind. Specs are incomplete, descriptions mislead, error handling is inconsistent, and auth flows go undocumented. Jentic AIR takes the estate you already have and makes it fit for agents, in a controllable, incremental way.

And it doesn't stop once. AIR stays connected to where your APIs actually live, so the estate stays ready as it changes. The longer it runs, the more complete the picture your agents work from.

Who it's for · Platform and API teams

The Jentic map, from Jentic AIRThe map, oriented to the Jentic AIR starting place. Its route resolves into a straight, solid line to the destination. Jentic OS and Jentic One stay on the map, dimmed, one click away.

Score & improve

Score your existing systems, platforms and APIs for AI-readiness. AIR shows you where the gaps are, then automatically enriches your APIs to improve agent reliability. You get a clear readiness baseline and a path to close it, without a rip-and-replace.

  • billingstandardised
  • customer recordsstandardised
  • emailstandardised
  • support deskstandardised
  • shippingstill being explored
  • HRstill being explored

Dotted means still being explored. Solid means standardised. Example statuses shown.

Sandbox

Let agents explore your APIs safely, without touching production. Agents can discover and experiment with real capabilities in an isolated environment, so you find out how they behave before anything goes near a live system.

Explore the sandbox

Workflows

Let agents handle common tasks with deterministic, reusable and compliance-friendly workflows. AIR generates these from live agent traces and codifies them in Arazzo, an open standard rather than a proprietary Jentic format, so proven procedures get reused instead of reinvented every time.

See workflows

Distribution

Getting agent-ready capabilities out to wherever your agents actually work. Once an API is scored, improved and proven, AIR publishes it in the forms agents can consume, so capabilities that were invisible or unusable yesterday can be found and used tomorrow, without manual work each time. This is the payoff of the whole pipeline: the estate you've prepared doesn't just sit ready, it reaches the agents that need it.

As your APIs get agent-ready here, they feed cleanly into governed execution and, ultimately, into a workforce platform where agents put them to work at scale.

The destination is the same for everyone: an AI-native organisation where knowledge compounds instead of resetting.

Let's talk about where you are today.