Key takeaways
- Define ownership and handoff rules for each recruiting stage.
- Keep one candidate record and preserve evidence across tools.
- Automate repetitive movement while retaining human approval gates.
- Measure stage conversion, elapsed time, and duplicate work.
How to apply AI recruiting workflow
- Step 1. Create the role and sourcing criteria in Scout.
- Step 2. Enrich selected candidates and launch compliant outreach with Pilot.
- Step 3. Route interested candidates to SAM for structured screening.
- Step 4. Send qualified candidates and evidence into the ATS or final interview process.
Compare the main approaches
| Area | Traditional or primary use | AI-assisted or evaluation guidance |
|---|---|---|
| Sourcing | Find and rank potential candidates | ConnectDevs / talent intelligence layer |
| Engagement | Contact and classify responses | Campaign or recruiting engagement layer |
| Screening | Collect comparable candidate evidence | Structured interview layer |
| Applicant tracking | Manage formal pipeline and hiring records | ATS |
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.
- Map the system of record, handoff trigger, required fields, consent, and duplicate rules.
- Test current integration or export behavior before designing a production workflow.
- Measure end-to-end cycle time and data quality across sourcing, screening, and ATS stages.

