Verify CV Claims Against Referee Statements
with Intelligent AI
Inflated job titles, masked career gaps, and undisclosed termination reasons slip past manual screening. Our AI engine cross-references all data points to deliver an objective consistency score.
4-Dimensional Cross-Examination Engine
Our AI doesn’t just scan keywords; it interprets semantic context and structural consistency.
Tenure & Chronological Timeline Alignment
The engine compares start and end dates reported on the CV with referee records. Unexplained gaps exceeding 2-3 months or overlapping tenures are flagged as discrepancies.
Job Title & Scope of Authority Verification
Did the candidate list "Team Lead / Director" while their referee recalls them as a "Senior Specialist"? Detect title inflation and fictional promotions instantly.
Technical Competency & Deliverable Cross-Check
Core software skills, budget sizes, and project claims are benchmarked against referee Likert ratings and qualitative feedback.
Departure Reason Cross-Examination
Compare the candidate’s stated reason for leaving with the official separation classification reported by the referee.
Reading Between the Lines: Sentiment & Tone Analysis
Referees often avoid giving overtly negative feedback out of politeness. Our NLP algorithms detect subtle nuances and hedged phrasing.
“John usually made an effort to complete the tasks he was assigned when prompted.”
“During the server outage, she mobilized the on-call team and averted budget overruns on her own initiative.”
Ethical AI & Bias Mitigation
Our algorithms apply strict fair-chance screening standards that exclude demographic biases.
Demographic Blind Screening
Protected characteristics including candidate photo, gender, age, ethnicity, and country of origin are strictly excluded from all analysis models.
Human-in-the-Loop Decision Making
AI never makes automated hiring or rejection decisions. The platform organizes evidence into an executive summary, keeping human recruiters in full control.
Frequently Asked Questions
Does the AI use candidate data to train public foundation models?
Strictly no. AuditCV operates under enterprise Zero Data Retention agreements with LLM providers. Candidate data is never ingested, stored, or utilized for model training.
Can the AI automatically reject a candidate or make hiring decisions?
Never. AuditCV adheres strictly to the "Human in the Loop" principle. The AI solely compiles consistency flags to assist recruiters; final hiring discretion always remains with human HR professionals.
Does it support multilingual resumes and complex PDF layouts?
Yes. Our Natural Language Processing engine supports English, German, Turkish, and multilingual resumes, accurately parsing complex two-column PDF layouts and diverse font types.
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