Most L&D teams still respond to stakeholder requests by building courses. The real problem is never “we need training”—it’s an undiagnosed performance gap hiding in workflow breakdowns, missing tools, or management blind spots. This session introduces the Human-Machine Performance Analyst framework—a practical model for shifting from content order-taker to AI-augmented diagnostician.
Through live demonstrations with real workforce data, you’ll watch AI separate genuine training needs from systemic issues, map tasks across a 7-level human-AI collaboration scale, and generate executive-ready attribution narratives in real time. You will leave understanding how a small L&D team can diagnose at enterprise scale.
By the end of this session, you will be able to
- Distinguish between genuine training needs and systemic performance issues using an AI-augmented diagnostic process.
- Map current L&D tasks to the 7-Level Human-AI Task Scale to identify where AI should lead, support, or stay out of the way.
- Structure a 90-second executive data narrative that uses attribution modeling to connect learning interventions to business outcomes.
