Risk, evaluation and reporting
Use governance controls, risk records, exceptions, DPIA work, access reviews, training and vendor records to organise accountable AI operations. Use evaluation studios, datasets, suites, runs, reports and feedback to measure an AI use case before expanding it.
Review loop
Set a baseline, run representative cases, inspect evidence and failure modes, record the decision, then monitor production outcomes. A lower-cost path is not an improvement if it reduces evidence quality, reliability or safe human oversight.