Key Finding: “Organizations that integrate both AI and skills-based approaches stand to gain even more. They'll be able to predict talent gaps, align talent with skills more effectively, and uncover new opportunities in the talent market.”
Source: Deloitte, “Becoming an AI-enabled, skills-based organization”
AI-Inferred Skills Quality Scorecard
Discover how leading organizations assess AI-generated workforce insights
Skills and the nature of work are evolving faster than ever, and it can be hard for organizations to keep pace. Manual updates don’t scale, self-reported profiles are often incomplete, and leaders don’t always have a clear view of their workforce. AI-inferred skills help close that gap.
By analyzing real work data, AI surfaces the skills employees actually have and the skills emerging roles require, giving organizations the insight and agility they need to strengthen their talent and workforce strategies in ways that truly support growth, adaptability, and better business outcomes.
As companies explore how AI can accelerate and support skills-based initiatives, the quality of AI-generated skills data becomes essential. Leading organizations consider factors like accuracy, explainability, security, and enterprise readiness when evaluating AI-inferred skills. This scorecard brings those expectations together, using real questions that forward-thinking organizations have applied to assess the quality and transformative potential of AI-powered skills insights.
What You’ll Get in this AI-Inferred Skills Quality Scorecard:
A clear, practical framework to evaluate:
- Data sources & inference quality
- Skills relevance & validation
- Explainability & transparency
- Security & enterprise readiness
- Coverage & scalability
Complete the form to access the scorecard and evaluate AI-generated skills data with confidence.