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Internal mobility
Internal Job Matching
Semantic matching recommends internal roles based on skills and career interests.
The problem
Employees miss relevant internal openings because job search is keyword-limited.
The opportunity
Less time on lookup. A person still owns anything that affects someone's job.
What the solution does
Semantic matching recommends internal roles based on skills and career interests.
How it works
Employee profiles and requisitions are embedded; ranked matches include explainable fit reasons.
Who uses it
- Employees
- Career coaches
- Talent marketplace owners
Data required
- Relevant HRIS / ATS records
- Role or policy context
- Access and consent rules
AI / technology patterns
- Semantic search
- Recommendation
- Embeddings
Reported impact
No independently reported impact recorded for this item yet.
Impact categories
- Experience
- 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