Skills-Based Talent Intelligence
Hire for skills. Predict performance.
Talent Systems AI assesses candidates and employees through structured interviews, work samples, simulations, and skills analytics. Teams get stronger hiring signal, faster decisions, and defensible talent data.
Live sample. Pick a scenario, press play.
Three capabilities. One engine. One audit trail.
The same engine screens candidates, verifies the skills of the workforce you already have, and reads org health, all on one scoring framework with one evidence record.
Assess job-relevant skills before the offer.
Reduce bad hires, turnover risk, and slow screening by measuring what candidates can actually do, not just how they interview or write a résumé.
Turn hiring data into workforce planning data.
Convert assessment results into verified skill profiles, team gap views, internal talent pools, and targeted development priorities.
Benchmark health, feedback, and capability at scale.
Use conversational and structured diagnostics for org health, 360 feedback, job analysis, validation studies, and learning-needs analysis.
Weak evidence creates expensive decisions.
Every hour spent screening weak-fit applicants is time not spent closing qualified candidates. Every inconsistent interview adds decision risk. Every bad hire compounds through ramp time, manager time, and replacement cost.
Assess the skills that actually predict job performance.
From screening through final decision, Talent Systems AI gives hiring teams structured signal from interviews, work samples, simulations, and job-relevant practicals.
- Skills-first screeningRoute candidates using job-relevant evidence, minimum qualifications, and role-specific skill requirements, not résumé polish alone.
- Structured interviews and simulationsAssess communication, judgment, sales, management, and technical skills with consistent prompts, criteria, and scoring guidance.
- Work samples and practicalsCandidates build, analyze, sell, manage, or solve realistic tasks so teams see performance signal before making the offer.
The hiring score does not stop at offer.
When a candidate is hired, their assessment scorecard becomes a day-one skill profile: verified competencies that carry forward into development, mobility, and workforce planning.
- Day-one skill profile from assessmentVerified from the same evidence that scored the hire. Useful on the first day, not after the first performance cycle.
- Gap analysis at every levelIndividual, team, and org-wide visibility against role benchmarks so leaders can see where capability risk is concentrated.
- Workforce planning and talent poolsMatch internal talent to open skill gaps before defaulting to an external hire.
Measure organizational health with benchmarked, conversational feedback.
Talent Systems AI turns surveys, interviews, and 360 feedback into an organizational health view that supports retention, manager development, job analysis, validation studies, and learning-needs analysis.
- Benchmarked org health diagnosticsMeasure team health, leadership effectiveness, collaboration, clarity, and enablement against relevant benchmarks.
- 360 feedback and job-analysis interviewsCollect structured feedback from managers, peers, incumbents, and SMEs for development, job analysis, and assessment design.
- Predictive and learning studiesGather criterion data for validation, learning-acquisition analysis, onboarding checks, and retention-risk diagnosis.
Integrated talent assessment reports for high-stakes roles.
TSAI Insights combines structured interviews, Hogan assessment where appropriate, work samples, simulations, and role-specific scoring into one decision-ready report.
Use it for management, technical, sales, executive, promotion, succession, and leadership-development decisions where a résumé and interview are not enough.
Leadership style, derailers, decision judgment, coaching risk, and team impact.
Consultative selling, objection handling, relationship strategy, motivation, and execution discipline.
Role-specific work sample, problem solving, communication, and applied technical judgment.
Skills-based hiring, built into a repeatable process.
Talent Systems AI helps teams define what the role requires, assess candidates against those skills, and track whether the signal predicts performance after hire.
Define the skills that matter
Ground the assessment in job context, business outcomes, hiring-team input, and SME review.
Assess candidates with structured methods
Use interviews, simulations, work samples, coding practicals, or role-specific exercises to generate comparable performance signal.
Track outcomes and improve prediction
Connect assessment results to quality of hire, turnover, ramp, learning, and org-health data so the system improves over time.
Defensible by design
Every score traces to the candidate's own evidence. Every step is logged. The same standard that holds up to a regulator is the one your hiring team runs on every day.
Talent Systems AI applies standard assessment-science principles consistently: structured criteria, SME validation, structured scoring, audit trails, and adverse-impact monitoring (testing for bias against protected groups) where demographic data is available and sample sizes support meaningful analysis.