Demo contentIllustrative record — no real organizations, statistics or outcomes.
Talent acquisition
Referral Matching
Recommendation engines suggest open roles for employee referrals based on contact profiles.
The problem
Employees refer contacts without knowing which open roles best fit their network.
The opportunity
Less time on lookup. A person still owns anything that affects someone's job.
What the solution does
Recommendation engines suggest open roles for employee referrals based on contact profiles.
How it works
Referral submissions are matched to requisitions using semantic similarity and eligibility rules.
Who uses it
- Recruiters
- Sourcing teams
- TA leaders
Data required
- Relevant HRIS / ATS records
- Role or policy context
- Access and consent rules
AI / technology patterns
- Recommendation
- Semantic search
- Embeddings
Reported impact
No independently reported impact recorded for this item yet.
Impact categories
- Quality
- Efficiency
Limitations and risks
Stale data, inherited bias, and privacy rules. Name a human who is accountable for career-affecting answers.
What implementation requires
Start with one process. Agree how you will score it. Involve legal and HR before you scale. Track whether people use it, not only whether the model is accurate.
Updated 2026-08-09