Shipping the model is the start of the work, not the end. We stay embedded alongside your team, evaluating every change, catching drift early, and owning the reliability of your AI in production.
Models degrade as the world shifts underneath them. An AI system that was accurate at launch drifts quietly, and unowned systems rot.
Production AI isn't a build you finish, it's a system you keep alive. Inputs change, prompts and models get updated, edge cases surface, and quality slips in ways no one notices until a customer does. Catching that needs evaluations, monitoring, and someone accountable for the numbers, not just a dashboard nobody watches.
The Embedded AI Partner is that accountability. We act as a fractional AI architect alongside your team, gating every change behind evals, detecting drift with a fast path back to known-good, and owning incident response, so your AI stays reliable, on-scope, and safe long after launch. Monthly, cancel or scale any time.
The ongoing work that separates a system that runs from one that rots.
Nothing ships to production without clearing a measured quality bar, so "it still works" is a fact, not a hope.
Catch degradation early, with a fast, clean path back to the last known-good state.
Latency, cost, and quality on a dashboard someone actually watches, and acts on.
Limits, fallbacks, and a rehearsed plan for when something breaks at the worst time.
Senior AI architecture on call, without carrying the cost of a full-time hire.
We help plan and ship what comes next, with priority response between releases.
We learn your system and stand up the safety net around it.
The day-to-day work of keeping production AI reliable.
We improve and extend the system alongside your team.
You have AI in production, or about to be. You need it monitored, evaluated, and owned. And you want senior AI architecture on call without committing to a full-time hire.
You haven't built the system yet, in which case start with an AI Assessment or an Implementation Sprint. Or you have a prototype not yet in production, which is Production Rescue.
That's the whole model. We embed as a fractional AI architect alongside your people, setting up the evals and guardrails and staying accountable for reliability, while your team keeps ownership of the system.
Monthly, with the freedom to cancel or scale any month. It flexes with what production actually needs, rather than locking you into a long contract.
Support. We don't take the system away from you, we make it safer to run. Your team stays in control; we bring the senior AI engineering discipline that keeps it healthy.
Then you scale down. The point of a monthly, flexible arrangement is that you carry the level of cover the system needs right now, and change it as that changes.
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