Gen AI Resume Fitment: Feature Overview

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What is Gen AI Resume Fitment?

Gen AI Resume Fitment is Talview’s AI-powered screening layer that automatically evaluates incoming candidate resumes against the specific competency and skill requirements of a workflow (job requisition) - and returns a structured fitment verdict with an evidence-backed explanation. It is designed to remove subjectivity from early-stage screening, surface the right candidates faster, and give recruiters a consistent, auditable signal - at scale.

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How It Works

1. Configure - Recruiter or Master Recruiter sets Essential, Preferred, and Optional criteria against the workflow as per the job role requirements
2. Parse - System extracts structured data from each incoming resume across four dimensions:

   Dimension	What is Extracted	Used For
   Personal Information	Name, contact details, location	Candidate identification and profile creation; not used in fitment scoring
   Education Details	Degrees, institutions, years of completion	Evaluated against Essential criteria (e.g., minimum degree requirement)
   Experience Details	Job titles, companies, tenures, responsibilities	Primary signal for Essential and Preferred criteria - seniority, recency, domain depth
   Qualifications & Certifications	Listed certifications, professional credentials	Evaluated against Essential or Preferred criteria where specific credentials are required

3. Evaluate - LLM-backed engine returns Strong / Potential / Low Fit with evidence-backed explanation, visible on the candidate card. Please check the demo below:

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Configuration Criteria

Example - Senior Backend Engineer (5+ years)

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Fitment Tier Definitions

Example: Output - Candidate Level For a candidate evaluated against the Senior Backend Engineer (5+ years) workflow above, the system returns: Fitment: Potential Fit Explanation: Strengths: Strong backend engineering foundation across Java and distributed systems with progression from associate to senior engineer roles. Gaps: Explicit backend tenure of three years versus five-year requirement; no cloud platform or leadership evidence in resume. Verdict Rationale: Essential experience requirement only partially met; warrants interview to validate cloud exposure and depth of backend ownership.

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What Makes Talview’s Resume Fitment Distinctive

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Trust & Governance

• Evidence-grounded - No inferences beyond explicit resume content; if a criterion cannot be verified, the system states the gap rather than assuming
• Bias-controlled - Evaluates only against your configured criteria; protected attributes (gender, race, age, ethnicity, disability) are not used
• Compliance-aligned - Designed for EU AI Act high-risk system standards: transparent reasoning, configurable criteria, mandatory human oversight, and auditability
• Human-in-the-loop - The AI classifies and explains; recruiters and hiring managers retain full override authority

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Frequently asked questions

Does the AI automatically reject candidates?

No. The AI classifies and explains; all shortlisting decisions are made by the hiring team.

Can I upload resumes in bulk?

Yes. Resumes can be uploaded individually or in bulk. Candidate profiles are auto created, and fitment runs automatically once criteria are configured.

Can criteria be changed mid-cycle?

Yes. Criteria can be updated at any time and re-applied to existing candidates in the workflow.

Is candidate data used to train the model?

No. Talview does not use individual customer data for model training without explicit consent and appropriate anonymisation.

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For configuration support or fitment calibration queries, contact your Talview Customer Success Manager.