AI Operations & Governance
An AI feature nobody measures degrades quietly: a model updates, a prompt is edited, a data source changes shape, and the first person to notice is a customer. We put the operational layer underneath the one you already shipped.
Evaluation in CI
A graded test set that runs on every prompt, model and data change, so quality is a number on a pull request instead of an impression.
Cost and latency budgets
Spend tracked per feature and capped, with routing and caching that keep the bill flat while usage grows.
Logging and traceability
Every request, retrieval and tool call recorded, so you can reconstruct any answer the system gave and explain it later.
Governance records
Risk classification, model and data inventories, and human-oversight documentation, prepared against what your counsel identifies under the EU AI Act. We build the evidence; they rule on it.
Incident path
A kill switch, a rollback to the last graded version, and a named owner — the same discipline the rest of your production stack already has.
Audit what you are already running
If AI is live in your product or your back office, we review what it costs, how it is measured and what gets recorded, then tell you what is missing.