top of page

Unlocking the Power of Decision Science with AI

Until recently, decision modelling in hiring required:

​

• Expert facilitation • Manual scoring • Significant time investment

 

It was available primarily through elite retained executive search firms — often starting at $75,000+ per hire and still lacking a real science-based process.

AI removes these constraints

​

Talent Decisions AI is evolving this proven framework into an AI-assisted decision intelligence platform that will:

​

• Automate role and criteria design • Support structured interview evaluation
• Detect bias patterns and inconsistencies • Deliver ranked shortlists in 24 hours
• Preserve explainability and auditability

​

This is not black-box prediction.It is AI augmenting decision science.

From Embedded Intelligence to AI-Driven Hiring Decisions

Talent Decisions AI is evolving deliberately from decision science to automation

Phase 1: Embedded Decision Intelligence

​

  • Structured role definition and criteria weighting (MCDA)

  • Consistent, bias-resistant evaluation across interviewers

  • Transparent, auditable decision models

  • Human judgment supported by structure — not replaced

 

This creates the decision scaffold missing in hiring today.

​

Phase 2: AI-Driven Screening

​

  • AI-assisted CV and application screening

  • AI avatar–led structured video interviews

  • Automatic interview transcription

  • LLMs analyze responses against role-specific decision models

  • Outputs feed directly into MCDA scoring (not black-box ranking)

 

AI scales structure — it does not bypass it.

Full Automation
Higher Accuracy
10× Cost Reduction

Phase 3: Autonomous Decision Infrastructure

  • Up to 75% of the hiring process automated

  • Role design, screening, interviews, scoring, shortlists

  • Humans retained for final judgment and leadership nuance

  • Decisions remain explainable, defensible, and auditable​

 

Why This Wins​

​

  • Most AI hiring tools try to predict people

  • Talent Decisions AI optimizes decisions

 

Continuous Improvement

​

  • Models learn from outcomes over time

  • Criteria weights refine automatically

  • Bias patterns detected and corrected

  • Accuracy improves without losing transparency

 

Economic Impact

​

  • 10× reduction in hiring costs

  • 50%+ reduction in time-to-hire

  • Lower mis-hire risk

  • Structural displacement of agency spend

 

This is not a hiring tool. It is decision infrastructure for a $600B+ market.

bottom of page