Operations and governance
Evaluations, observability and limits to monitor AI applications over time.
The challenge
Changes to models, prompts and sources can affect quality, cost and behaviour after launch.
Our approach
We define evaluation sets, versioning and operational signals. The plan considers access, retention, budgets and change review for the context of each solution.
What we can deliver
- Evaluation sets and regression tests
- Prompt, source and model versioning
- Quality, latency and usage metrics
- Limits, alerts and response procedures
What to monitor
Did the answer solve the task? Was a tool used incorrectly? What did the execution cost? Monitoring needs to connect technical signals with the outcome expected by the team.
Privacy by design
Purpose, minimisation, permissions and retention are project requirements. Responsibilities and legal requirements must be defined with the organisation's owners; there is no generic compliance certification.