This is an illustrative example of how a Run engagement works, not a specific client engagement.
AI you install is not a fixed thing. Models change, prices change, better approaches appear, and the business itself moves. A multi-site retailer with several AI systems already running wanted them kept sharp rather than left to drift.
What Run covers
We monitor how the installed systems are performing, catch drift and errors before they become a problem, and keep them current as the underlying models improve, often getting better results at lower cost as we go.
New use cases as they surface
Running something well surfaces the next thing worth building. Part of Run is spotting those, and adding them in a controlled way rather than bolting on and hoping.
Why it compounds
The point of Run is that the return keeps growing instead of decaying after launch. It is how a one-off build becomes capability that stays ahead.