A Proteus specialization

AI workflows.
Testable confidence.

Your AI feature needs more than a convincing demo. Proteus helps validate outputs, test workflows, and catch regressions before the next release.

AI feature QA · RAG evaluation · Release validation

Quality beyond the happy path

Does it work when
the input changes?

A useful AI workflow has to hold up against the tasks, edge cases, and failures your users actually encounter.

We connect software QA with output evaluation: define acceptable behavior, build representative test cases, and make changes measurable.

Areas of focus

01 / EVALUATE

Validate AI outputs against explicit criteria. Evaluate RAG retrieval and answer quality with representative questions and failure cases.

02 / TEST

Check end-to-end behavior, error handling, and integrations. Compare prompt, model, and workflow changes against a repeatable baseline.

03 / MONITOR

Define release checks and monitoring that make quality changes visible, with clear ownership when a workflow falls short.

A clearer starting point

Bring the metric, funnel, or dashboard you’re unsure about. We’ll talk through what’s at stake and whether an audit is the right next step.

30-minute conversation · No preparation required