Key takeaways
- Use AI interviews for consistent first-pass screening, not autonomous hiring decisions.
- Anchor every interview to role outcomes and explicit evaluation criteria.
- Require transcripts and evidence behind scores or recommendations.
- Escalate ambiguous, sensitive, or high-impact judgments to trained people.
How to apply AI interviewer
- Step 1. Set role context, seniority, required skills, and evaluation criteria.
- Step 2. Invite candidates with clear instructions and an accessible interview option.
- Step 3. Let SAM ask the core questions and relevant follow-ups.
- Step 4. Review the transcript, evidence, strengths, gaps, and red flags before advancing anyone.
Compare the main approaches
| Area | Traditional or primary use | AI-assisted or evaluation guidance |
|---|---|---|
| Consistency | Varies by interviewer | Same role criteria for every candidate |
| Follow-up | Depends on interviewer time | Contextual prompts based on the response |
| Documentation | Notes may be incomplete | Transcript and structured summary |
| Human role | Runs every initial screen | Reviews evidence and owns the decision |
Evidence to verify before you decide
Product capabilities, data coverage, prices, and vendor terms can change. Use these checks to validate the guidance against your roles and current first-party information.
- Have recruiters and domain experts review sample transcripts and reports for accuracy.
- Test candidate disclosure, accessibility, accommodation, and escalation paths.
- Monitor completion, false rejections, reviewer agreement, and later-stage outcomes.