Domain-aware sourcing
Our sourcing agent works across your connected systems, the Kempian Talent Hub, and configured external channels. Cross-domain mismatches are rejected before they ever influence rank.
Kempian RecruitAI
Explainable talent matching that reads like a real decision.
RecruitAI is Kempian's matching and prioritisation layer for talent teams that need better shortlist quality, readable AI reasoning, and human control before any candidate-facing action begins.
app.kempian.ai/confidence
RecruitAIRequisition DEM-F5C84E-002
Explainable talent matching
Factor-level breakdown before Gate 2 sign-off - model outputs are advisory
Ranked shortlist
87High fit
Explainability
Strong alignment on acute-care RNA patterns and documented compact eligibility. Lower weight on risk until a secondary source confirms compact state.
Factor contribution
- Role & specialty fit92%
- License & credentials88%
- Availability & geography76%
- Source quality & recency71%
- Risk & compliance flags54%
Missing signals - verify before outreach
Compact nursing home state is not corroborated on a second document. Recruiter attestation or VMS field update is recommended.
Scores combine structured JD factors and verified sources. They do not replace license checks or employer policy.
Guided workflow
A simple, review-first workflow.
Source candidates, score them, flag missing signals, and review the shortlist with clear human oversight at the end.
1
Source
Sourcing pool ready
Find candidates inside the right domain first.
RecruitAI starts by sourcing across connected systems, Talent Hub pools, and configured external channels with domain filters already applied.
2
Score
Confidence scored
Turn profiles into readable confidence signals.
Our scoring agent scores each candidate with factor groups that explain what contributes to fit instead of hiding behind a single opaque number.
3
Flag gaps
Verification needed
Surface missing signals before the shortlist is trusted.
RecruitAI explicitly highlights incomplete or unverified data so recruiters know what still needs confirmation before approval.
4
Review shortlist
Gate 2 review
Keep the recruiter in charge at Gate 2.
The final shortlist is reviewed by a recruiter who can approve, hold, or reject each candidate with context and a preserved audit record.
RecruitAI review flow
Shortlist status
Sourcing complete
46 candidates collected across approved channels
Confidence scored
Top candidate carries readable factor-level reasoning
Skills match
Experience alignment
Missing signal
Security clearance confirmation is still required before shortlist approval.
Approve shortlist
Hold for review
Core RecruitAI capabilities.
The product is opinionated about what recruiting AI should make easier, and just as explicit about where recruiters stay in control.
Explainable candidate fit score
Our scoring agent scores every candidate with named factor groups for skills, experience, compliance readiness, and location fit. Every score has a source and a reason.
Missing-signal visibility
Data gaps surface as explicit flags instead of getting buried in a lower percentage. Recruiters know exactly what to verify before moving forward.
Recruiter review gate
Gate 2 requires explicit shortlist approval. Recruiters can approve, hold for more data, or reject with a documented reason and preserved audit trail.
Fit score anatomy
What a recruiter actually sees behind the score.
RecruitAI does not stop at ranking. It shows which factor groups contributed, where the evidence came from, what is still missing, and what the next action should be before a candidate enters outreach.
Named factor groups for fit, experience, compliance, and location readiness
Source-backed evidence instead of black-box percentages
Missing-signal alerts that create review work, not silent penalties
Clear next action recommendations before recruiter approval
Jordan Walsh
Senior Platform Engineer shortlist review
Skills match
Required stack, adjacent tools, seniority fit
Experience alignment
Platform engineering depth and scale match
Compliance readiness
Credential and policy requirements reviewed
Location fit
Timezone and hybrid expectations aligned
Evidence sources
RecruitAI ties factor groups back to CV signals, connected system records, certifications, and structured recruiter inputs.
Missing signals
Unconfirmed attributes are promoted into visible review items so the recruiter sees what remains incomplete.
Recommended next action
Each confidence state points to a clear next step such as request verification, hold for review, or approve for shortlist.
Domain readiness
RecruitAI adapts to the hiring context, not just the resume.
The same interface supports very different talent markets because the visible factor groups and sourcing rules shift with the domain.
Technology staffing
Scores language fit, systems depth, domain experience, and remote readiness across fragmented candidate pools.
Languages and frameworks
Platform and DevOps depth
Remote or hybrid fit
Healthcare staffing
Surfaces licence verification, certification currency, and care-setting alignment as named professional signals.
State licence readiness
BLS and ACLS status
Shift and facility fit
Manufacturing operations
Supports sourcing across distributed plant locations with safety, certification, and shift-readiness visibility.
OSHA and safety credentials
PLC or CNC proficiency
Plant location and shift
Legal and finance
Keeps regulated-role searches legible with practice-area, admissions, certification, and domain experience checks.
Bar or CPA status
Practice-area alignment
Regulated-industry experience
Human oversight
What RecruitAI will not do.
Trust is clearer when the product publishes its boundaries instead of implying the AI can safely do everything on its own.
Make hiring decisions automatically
Human review stays in the loop because RecruitAI is built for decision support, documented reasoning, and governed actions rather than autonomous hiring.
Treat the highest score as the final answer
Human review stays in the loop because RecruitAI is built for decision support, documented reasoning, and governed actions rather than autonomous hiring.
Infer protected attributes or evaluate demographics
Human review stays in the loop because RecruitAI is built for decision support, documented reasoning, and governed actions rather than autonomous hiring.
Contact candidates before a recruiter approves the shortlist
Human review stays in the loop because RecruitAI is built for decision support, documented reasoning, and governed actions rather than autonomous hiring.
Claim to be bias-free or fully autonomous
Human review stays in the loop because RecruitAI is built for decision support, documented reasoning, and governed actions rather than autonomous hiring.
Replace recruiter judgment with a black-box score
Human review stays in the loop because RecruitAI is built for decision support, documented reasoning, and governed actions rather than autonomous hiring.
Platform context
How RecruitAI fits the wider Kempian platform.
RecruitAI is strongest when it is connected to the workflow, explainability, and candidate-side experiences around it.
Live walkthrough
See RecruitAI applied to a real role in your hiring context.
We'll walk through sourcing, factor-level scoring, missing-signal alerts, and recruiter Gate 2 approval using roles from your industry and workflow.