1. Structure the Job Before AI Looks at Candidates
Define role purpose, essential functions, must-have skills, nice-to-have skills, job-related experience, location, schedule, compensation range, work authorization requirements, interview plan, scorecard, and accommodation path. AI may organize the intake and identify ambiguity. Humans confirm the actual requirements. The bad path is an unclear role that lets AI invent an ideal profile with hidden ranking criteria.
AI can help
- ✓Organize role-intake information
- ✓Identify ambiguity and missing requirements
- ✓Draft a first-pass scorecard and interview plan
Human / specialist keeps
- ●Confirm essential functions and actual requirements
- ●Own the compensation range and work authorization requirements
- ●Define the accommodation path
Warning
Bad: unclear role → AI invents ideal profile → hidden ranking criteria. Define the job before AI looks at candidates, and confirm the actual requirements with humans.
2. Draft Job Descriptions—Then Review Every Requirement
AI can rewrite, clarify, structure, suggest inclusive plain language, and generate first-pass interview questions. Human review must check whether each requirement is essential, whether degree or experience thresholds are justified, whether physical or location requirements are accurate, and whether compensation is correct. Do not let AI invent requirements.
AI can help
- ✓Rewrite and clarify the job description
- ✓Suggest inclusive plain language
- ✓Generate first-pass interview questions
Human / specialist keeps
- ●Review whether each requirement is essential and justified
- ●Verify physical, location, and compensation accuracy
- ●Do not let AI invent requirements
3. Automate Candidate Communication Without Becoming Dehumanizing
Good communication includes acknowledgment, scheduling, confirmation, reminders, status updates, requests for missing non-sensitive information, process FAQs, and a clear human path. AI may interpret a question and draft a response. Do not promise an interview or offer, misstate status, request prohibited medical information, or ask irrelevant protected-class questions.
AI can help
- ✓Draft acknowledgments, confirmations, and status updates
- ✓Answer process FAQs and route to a human
- ✓Request missing non-sensitive information
Human / specialist keeps
- ●Do not promise interviews or offers
- ●Do not misstate status or request prohibited medical information
- ●Do not ask irrelevant protected-class questions
4. Scheduling Is a Strong Automation Use Case
The flow is: candidate moves to interview, a valid interview calendar and panel, candidate chooses a time, confirm, remind, reschedule or cancel, ATS updated. RENN can support general scheduling and communications. ATS scheduling is often stronger when panel, stage, candidate record, scorecards, interviewer load, and the hiring workflow must remain tightly connected.
AI can help
- ✓Send booking, reminders, and updates automatically
- ✓Handle reschedules and confirmations
- ✓Keep the candidate informed
Human / specialist keeps
- ●ATS scheduling is often stronger when panel, stage, and scorecards must stay connected
- ●Handle genuine rescheduling exceptions
- ●Keep the ATS as the source of truth for the candidate record
5. Summarize Candidate Information for Human Review
AI may create an experience summary, job-related skills, certifications, role-relevant evidence, and questions or gaps. It must not infer or use race, ethnicity, religion, sex, pregnancy, sexual orientation, gender identity, age, disability, medical condition, national origin, family status, personality, 'culture fit,' or socioeconomic status. Do not casually use names, photos, addresses, schools, accents, or proxy signals in ranking. A candidate summary is a reading aid, not an employment decision.
AI can help
- ✓Create an experience and skills summary
- ✓Surface role-relevant evidence and certifications
- ✓Generate questions or gaps for human review
Human / specialist keeps
- ●Do not infer or use protected traits or proxies
- ●Do not casually use names, photos, addresses, schools, or accents in ranking
- ●A summary is a reading aid, not an employment decision
Warning
Do not infer or use protected traits — race, ethnicity, religion, sex, pregnancy, sexual orientation, gender identity, age, disability, medical condition, national origin, family status, personality, 'culture fit,' or socioeconomic status. Do not casually use names, photos, addresses, schools, accents, or proxy signals in ranking.
6. Let AI Take Notes—Use Structured Scorecards for Evaluation
Current recruiting platforms increasingly record or transcribe, map notes to scorecards, summarize interviews, and prepare debriefs. Current Greenhouse Notetaker maps AI-generated notes to structured scorecard questions. The flow is: interview, transcript or notes, AI drafts structured notes, interviewer reviews, interviewer submits the scorecard. Recording and consent laws and company policy apply.
AI can help
- ✓Transcribe and map notes to scorecard questions
- ✓Summarize the interview into structured notes
- ✓Prepare a debrief draft
Human / specialist keeps
- ●The interviewer reviews and submits the scorecard
- ●Recording and consent laws and company policy apply
- ●Evaluation stays structured and human-led
7. Use AI to Prepare Evidence for Human Debrief
AI may summarize scorecards, notes, open questions, disagreements, missing feedback, candidate status, and criteria. A good output is 'Criterion B has mixed evidence.' A bad output is 'Candidate is a 92% culture fit.' Require job-related evidence and keep the debrief human-led.
AI can help
- ✓Summarize scorecards and notes
- ✓Surface open questions, disagreements, and missing feedback
- ✓Map evidence to criteria
Human / specialist keeps
- ●Require job-related evidence
- ●Do not accept a 'culture fit' score as a decision
- ●Keep the debrief human-led
Warning
Good: 'Criterion B has mixed evidence.' Bad: 'Candidate is a 92% culture fit.' Require job-related evidence and keep the debrief human-led.
8. Use AI to Explain Recruiting Data—Not Excuse It
AI can summarize application volume, stage conversion, time in stage, interview completion, offer acceptance, and source performance. For selection rates, adverse impact, bias analysis, and validation, use qualified HR, legal, or statistical review. Do not let AI conclude 'our process has no bias.'
AI can help
- ✓Summarize application volume and stage conversion
- ✓Surface time-in-stage and source performance
- ✓Flag missing feedback or bottlenecks
Human / specialist keeps
- ●Use qualified HR, legal, or statistical review for selection rates and adverse impact
- ●Do not let AI conclude the process has no bias
- ●Own the interpretation of recruiting data
9. Automated Screening Is a Higher-Risk Use Case
Modern platforms increasingly offer matching, ranking, screening, voice interviews, automated qualification, and agentic sourcing and outreach. Before use, ask what criteria are used, whether they are job-related, what data and proxies are involved, how decisions are explained, whether a human can override, what the accommodation path is, whether bias and adverse-impact monitoring exists, what notice and audit requirements apply, and what law applies. Do not recommend black-box auto-reject logic casually.
AI can help
- ✓Surface candidates for human review against job-related criteria
- ✓Draft outreach and screening questions
- ✓Organize applications for review
Human / specialist keeps
- ●Ask what criteria, data, proxies, and explanations are involved
- ●Ensure a human can override and an accommodation path exists
- ●Do not recommend black-box auto-reject logic casually
Warning
Do not recommend black-box auto-reject logic casually. Before automated screening, confirm job-related criteria, explainability, human override, accommodation, bias and adverse-impact monitoring, notice, audit requirements, and applicable law.
10. Do Not Replace the ATS With a Generic CRM Once Hiring Gets Serious
An ATS can own requisition, job posting, applicant, candidate source, stage, interview plan, scorecard, feedback, offer, compliance, reporting, permissions, retention, and audit trail. Examples without ranking include Greenhouse, Workable, Lever, Ashby, iCIMS, and SmartRecruiters. RENN can support recruiting marketing, candidate inquiries, calendars, communication, workflow, career-event leads, and talent-community nurture. Do not present RENN contacts or opportunities as a full ATS replacement for teams needing structured recruiting governance.
AI can help
- ✓Support recruiting marketing and candidate inquiries
- ✓Run talent-community nurture and event follow-up
- ✓Handle general scheduling and communication
Human / specialist keeps
- ●The ATS owns the hiring record, scorecards, compliance, and audit trail
- ●Do not replace the ATS with a generic CRM once hiring gets serious
- ●Keep structured recruiting governance in the ATS