Case studies / Cairn
Case study · AI hiring platform
Can AI help hire fairly, and still show its reasoning?
Hiring software that scores skills, explains every score, and leaves the final decision to a person.
Cairn is hiring software that scores candidates on their skills. Every score comes with the reasoning behind it, so a recruiter can see why a candidate ranked where they did.
A person always makes the final call. The software supports the decision; it does not take it.
AI in hiring is only useful if people can trust and check it.
Scores nobody can explain
A number without a reason is hard to defend to a candidate, a manager or a regulator.
Several kinds of user
Recruiters, hiring managers and candidates all need different views of the same process.
Proof when asked
Teams needed a record of how each decision was reached, ready on demand.
Without clear reasoning and a record, AI scoring is a risk to the company rather than a help.
Scores with reasons, roles with limits, and a record that exports in one click.
Skill scores with reasoning
Each score shows the evidence behind it.
- Reasoning shown next to every score
- Recruiters can review and question it
A person decides
The product recommends; people decide.
- Final decision always sits with a person
- Decisions are recorded with the scores
Five user roles
Each person sees what they need and no more.
- Recruiter to candidate
- Role-based access
One-click audit pack
The full record of a hiring process can be exported when someone asks for it.
- Scores, reasoning and decisions together
- Ready to share with auditors or managers
Hiring software that can explain itself.
Cairn gives hiring teams scores they can understand and a record they can hand over.
- Every score shows the reasoning behind it.
- Five user roles cover the process from recruiter to candidate.
- A one-click audit pack exports the record of each process.
- A person makes the final decision on every hire.
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