AI Explainability Statement

What the AI does

During a session, a speech model converses with the candidate using the rubric and question plan you configured. After the session, an assessment model scores each criterion as pass, miss, or insufficient evidence, and must quote the transcript span that supports the call.

What it never does

• It does not analyze faces, clothing, room, or background.
• It does not score accent, tone, pitch, or “confidence” as a vibe.
• It does not output a single 1–10 gut score as the decision.
• It does not auto-advance or auto-reject a candidate. People do.

How you can inspect a score

Open the session report. Each criterion shows the quote, the timestamp, and a confidence note. If the model cannot cite evidence, the criterion is not credited. You can override any recommendation.

How scoring is produced

Hireflo uses third-party tools so the interviewer can run in real time and so a scorecard can be drafted from the transcript. Those tools act only on the hiring organisation’s instructions. A human reviewer still decides next steps.

Humans decide

Hireflo recommends; your team hires. That is policy, not a disclaimer buried at the end of a contract.