Human oversight
Keep consequential decisions under effective human oversight and accountable review.
Trust Centre
Responsible AI is designed around human decisioning
AI supports the process while people make the hire. Responsible operation depends on visible evidence, clear boundaries and practical human oversight.
Configured workflowAREEVA / ACTIVE
Working contextResponsible AI is designed around human decisioningDefined criteria · Evidence linked
01
Human oversight
02
Transparent boundaries
03
Evidence visibility
Human checkpointEvidence ready for review
Operating idea
Responsible recruitment technology makes decision boundaries, evidence and routes for challenge more visible—not less.
What it supports
A clearer way to organise the work.
Capabilities remain visible, reviewable and connected to the operating context around them.
Transparent boundaries
Make clear where AI-supported work ends and human decision-making begins.
Evidence visibility
Help recruiters and hiring managers review relevant evidence and reasons.
Human intervention
Define where authorised people review, challenge and intervene before a consequential next step.
Candidate information
Plan candidate information and adjustment paths as part of a responsible process.
Control principles
Designed around accountable review.
An AI score must not be presented as the final hiring decision.
Monitoring and auditability are product requirements, not marketing decoration.
Responsible use depends on product design and customer governance.
See Areeva in your workflow
See this in the context of your workflow.
Bring your stages, decision points and operating requirements. We’ll shape the walkthrough around the work your team actually does.