Dynamic Conversation
Fairec's AI doesn't just ask questions - it listens, follows up, and adapts based on what the candidate says. Every conversation feels natural and human, while staying structured and fair
Follow-up questions adapt to responses
Probes deeper on relevant experience
Consistent structure maintained
Alexandra
is
Speaking
Structured Evaluation
Define exactly what good looks like for every role - Fairec builds a consistent evaluation rubric so every candidate is assessed against the same criteria, every time
Set role-specific competencies and weightings
Ensure consistent evaluation standard
Eliminate subjective screening before it starts
Evaluation Framework
Specific Skills
1.
Spring Boot
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/
3
2.
Azure DevOps
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/
3
Domain Knowledge
2.
API Security Patterns
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/
3
4.
Cloud-native Architecture
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/
3
Practical Experience
5.
Building REST APIs
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/
3
6.
Working with CI/CD pipelines
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3
Skill-based Scoring
Every candidate response is automatically scored across your defined competencies — giving your team a clear, validated picture of each applicant's fit without a single manual review
Detailed scoring across all evaluation parameters
Comparable results across every single applicant
Competency fit score instantly available
ML
Maria Larsen
Specific Skills
Domain Knowledge
Practical Experience
AI Reasoning
Fairec doesn't just score - it explains. Every evaluation comes with AI reasoning, so your team always understands the why behind each candidate's score
Rationale generated for every score
Surface strengths, gaps, and differentiators
Give your team confidence in every decision
AI Reasoning
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