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AI evaluation and release governance

Tests every proposed AI configuration against a governed test set, calibrated independent judges, a pinned production baseline, and explicit release standards.

When to use it
Your team is changing an AI model, prompt, or configuration and needs to compare it with the current system before release.
Expected outcome
Clearer release decisions and reproducible failures your team can fix, based on agreed quality and safety criteria.
SYSTEM PORTRAITProving Ground
GOLDEN SETCANDIDATEJUDGESRELEASEBASELINE HELD / FAILURE REPRODUCIBLE

Proving Ground tells a team whether an AI change is actually better before it ships. Every candidate runs against a governed golden set and the current production configuration. Independent model families judge the results only after calibration against human ratings. Safety and quality have separate release floors. If the candidate fails, engineering receives the exact case, scores, rationale, and evidence needed to correct it and test again.

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