Referral Matching

Employees refer contacts without knowing which open roles best fit their network.

AI can reduce repetitive effort and surface options humans still decide — when grounded in the right data and oversight.

Recommendation engines suggest open roles for employee referrals based on contact profiles.

Referral submissions are matched to requisitions using semantic similarity and eligibility rules.

• Recruiters
• Sourcing teams
• TA leaders

• Relevant HRIS / ATS records
• Role or policy context
• Access and consent rules

• Recommendation
• Semantic search
• Embeddings

No independently reported impact recorded for this item yet.

• Quality
• Efficiency

Bias inheritance, stale data, privacy obligations and over-automation of people decisions. Keep humans accountable for outcomes that affect careers.

Start narrow, define evaluation criteria, involve legal/HR governance early, and measure adoption plus quality — not only model accuracy.