Testing for systems that never give the same answer twice.
The hard part almost no one offers. Hallucination, prompt-injection, agentic, and regression testing with evidence you can hand to a regulator.
Understand the system
Map the inputs, outputs, model boundaries, tool calls, and success criteria — including regulatory constraints, data flows, and failure modes.
Build the eval harness
Create repeatable, automated evaluation pipelines with representative datasets, oracles, and metrics that run in CI and record evidence.
Attack it deliberately
Red-team the system: prompt-injection, adversarial inputs, and tool-misuse tests to surface safety and robustness gaps.
Guard against drift
Add monitoring, regression tests, and retraining/rollback policies so performance degradation is detected and managed.
Sign off with evidence
Produce a reproducible validation report with artifacts, logs, and measured SLOs suitable for stakeholders and auditors.