Managed Services.
We operate and assure the system in production, and keep it right as models drift and data changes.
What it is
The mode that keeps a system dependable after launch. An AI system isn't right because it was right once; models drift, data changes, and a system that passed its tests at launch can quietly start getting things wrong. We operate the system in production and assure its correctness over time: not just whether it's running, but whether it's still right.
What we do
- —Monitor correctness continuously: whether the system's answers are still good, not just whether it responded.
- —Detect drift in models and data before it becomes a visible failure.
- —Maintain the guardrails and grounding as the underlying models and data evolve.
- —Keep the audit trail current, so the system stays defensible to a regulator or board.
- —Respond when something moves, with the senior engineering to diagnose and fix it.
How we work
We operate the system in your environment, with the monitoring and guardrails instrumented during the build (or retrofitted if we're taking over a system someone else built). You keep ownership; we keep it right. The work scales to what the system needs, from light oversight to full operational responsibility.
Who it's for
Anyone running an AI system they can't afford to have quietly fail: a system under regulatory exposure, one that's business-critical, or one whose failure would be expensive or invisible until it's serious. Often a continuation after a Build, but we also take over systems built elsewhere.
Not sure it's still right?
If you have a live system you're not sure is still right, an Architecture Review is the way to find out before committing to ongoing operation.