AI integration

Connect AI to the existing system with control.

Successful integration puts AI at the right point in the data flow, with bounded access, reviewable output, and clear failure behaviour.

AI integration needs clear boundaries across services, data, permissions, event logging, and human review. Before connecting anything, measurable inputs and outputs and a recovery path for failure are defined.

Back to overview Delivery path

Services

For systems that need AI inside the flow

We first bound and expose inputs and outputs, then define APIs, identity, event logging, timeouts, and fallback. The goal is to add AI without making system control ambiguous.

Align AI with existing data and controls

Define input, output, and the human approval point.

Bound data and access scope
Connect APIs with failure and fallback states
Log events and review output

An integration is dependable when data, access, event logging, failure, and fallback stay in one flow.