The Unified Qualification Record provides complete, immutable traceability across every hiring decision, evaluation, and approval.
Verify candidate identity with secure authentication, biometric checks, and continuous monitoring.
Structured assessment data captured with full telemetry on all inputs.
Every RAG retrieval context is logged for semantic decision verification.
AI-generated scores linked to specific reasoning and confidence intervals.
Mandatory reviewer interaction logged with time-spent and focus indicators.
All modifications to AI recommendations require documented justification.
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Final immutable record hashed and stored for long-term audit access.
Access evaluation scores, interviews, and candidate information.
Access the evidence, documents, and records referenced during decision-making.
Track AI recommendations, confidence levels, and supporting rationale over time.
View reviewer feedback, comments, and evaluation outcomes throughout the process.
Identify modified, rejected, or overridden recommendations.
Track approval history, timestamps, and documented decision justifications.
Access every record, policy version, approval, and supporting artifact needed to understand how a hiring decision was made.
Enable transparent hiring aligned with regulatory requirements.
Ensure secure, compliant hiring decisions with complete records and accountability.
Support traceable, audit-ready public-sector hiring.
Enable trusted hiring through governance and oversight.
Support governance with transparent, auditable hiring decisions.
Maintain consistent hiring across global operations.
Exterview aligns with leading global AI governance and risk frameworks to ensure responsible, auditable, and explainable AI usage in hiring.
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