TalentOS intelligence
AI-Powered Screening and Assessments
AI-powered screening uses machine intelligence to evaluate applications and assessment results against role requirements at scale. TalentOS scores and ranks candidates with explainable reasoning, while every hiring decision stays with a human reviewer.
- Auto-reject
- Never
- Scoring
- Explainable
- Bias monitoring
- Continuous
How it works
Screening starts with the role, not the résumé. A hiring manager defines must-have capabilities, nice-to-haves and the evidence that counts for each. TalentOS turns that into a scoring rubric, so ranking is anchored to stated requirements rather than to pattern-matching on prestigious employers.
Every application is then scored against that rubric with the evidence shown: which requirement is met, which is missing, and the exact line in the application or assessment supporting each conclusion. Reviewers can override any score, and overrides feed back as calibration signal rather than being discarded.
Assessments deepen the signal where a résumé cannot. Role-specific work samples, coding exercises, case studies and structured async video answers are scored on the same rubric, with plagiarism and anomaly detection on submissions. Adverse-impact monitoring runs continuously across pass rates by stage, and TalentOS never auto-rejects — it prioritises the queue and a human makes the call.
- 1
Define the rubric
Must-haves, nice-to-haves and acceptable evidence set by the hiring manager.
- 2
Score with evidence
Each application ranked against the rubric with supporting excerpts shown.
- 3
Assess for real signal
Work samples, coding tests, cases and async video scored on the same criteria.
- 4
Human decides
Reviewers confirm or override; overrides calibrate future scoring.
What's included
Requirement-anchored scoring
Rankings driven by the manager's stated rubric, not opaque résumé similarity.
Explainable match reasoning
Every score shows the evidence behind it and what is missing.
Role-specific assessment library
Coding, analytical, language, sales and customer-support assessments mapped to job families.
Structured async video screening
Consistent questions, timed answers and rubric-based review from multiple panellists.
Integrity checks
Plagiarism, answer-similarity and completion-anomaly detection on submitted work.
Adverse-impact monitoring
Continuous pass-rate analysis by stage so bias in the funnel is visible early.
Frequently asked questions
Does the AI reject candidates automatically?
No. TalentOS ranks, scores and explains, but rejection always requires a human decision. Auto-rejection is deliberately not available, both because it produces bad hiring outcomes and because several jurisdictions restrict fully automated employment decisions.
How do you prevent bias in AI screening?
Scoring is anchored to a manager-defined rubric, evidence for every score is visible and challengeable, reviewer overrides are tracked, and pass rates are monitored by stage for adverse impact. Where signals correlate with protected characteristics, they can be excluded from scoring.
What assessments are available?
Coding exercises and live pair sessions, analytical and case studies, language proficiency, situational judgement, sales role-plays and support simulations — mapped to job families so a hiring manager picks a package rather than assembling one.
Can candidates see how they were evaluated?
You control disclosure. The platform supports structured feedback at each stage, including assessment score bands and rubric areas, which materially reduces candidate complaints on high-volume roles.
Ready to talk through AI-Powered Screening & Assessments?
Book a working session with our team, or take a self-guided tour of the platform first. Either way you will see the real workflow, partners and commercials before you commit.
Prefer numbers first? See pricing