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SELL.SYSTEMSAI CAMPUS
Enter Meeting Intelligence Lab
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Mission 6 · Evidence-grounded review

GitHub
Evidence-grounded AI review connecting conclusions to source transcript timestamps and human override
Mission 6 · Evidence-grounded review

Score what the transcript supports, not what the model imagines.

Produce a bounded AI-assisted review with cited transcript evidence, explicit uncertainty, factual summary, recommended actions, and a human override path.

AI review is advisory. It does not replace human QA and must not make high-impact employment, credit, legal, medical, or similar decisions.

Build sequence

  1. Define each rubric criterion, bounded score, required transcript evidence, reasoning, confidence, and missing-evidence behavior.
  2. Separate factual summary from evaluative score and forbid invented commitments, customer facts, or outcomes.
  3. Version the rubric, prompt, and model route used for every result.
  4. Run fixed score-normalization regressions below, at, and above every supported range boundary.
  5. Run one adversarial transcript and one human-reviewed calibration example.
  6. Write score, reasoning, summary, and next actions back to the correct CRM item and verify the read-back.

Required proof

  • Rubric version, structured score JSON, and exact boundary-regression results.
  • Transcript citations or an explicit insufficient-evidence result for every criterion.
  • Adversarial result, calibration comparison, human override, and CRM read-back.

Reference files and sources

Official vendor documentation

Assessment gate

Pass

Pass: every score is inspectable, evidence-linked, bounded, versioned, boundary-tested, and reversible by a human reviewer.

Revise

Revise: useful output exists but citations, uncertainty, score boundaries, calibration, or human override is incomplete.

Hard fail

Hard fail: fabricated evidence, unsupported scoring, hidden uncertainty, or autonomous high-impact decisions appear.

Human-reviewed submission