Tom Lundsberg

Every enterprise has invested in AI over the last 18 months. Licenses rolled out. Councils stood up. Training launched. And in most organizations, day to day work hasn't meaningfully changed.

The gap isn't strategy. It's capability. Employees have watched the videos and earned the certificate, but they still don't know how to apply AI to the job in front of them and L&D is being asked to prove ROI on a workforce that can't yet perform.

The session is designed to send people home with frameworks they can apply and perspectives from peers solving the same problem.

Diagnosing the gap. A function level approach to baselining AI proficiency across a workforce - what to measure, how to measure it, and where most companies miss the real signal. Open discussion on what people are seeing in their own organizations.

Activation, not completion. A look at what it means to measure applied AI proficiency rather than course completion. We will discuss what's being tracking today and where the blind spots sit. We will also talk about the importance of a project based approach to evidence of learning.

Reporting that holds up. The metrics, framing, and narrative L&D leaders are using to defend AI investment to the executive leadership team. What's landing, what's getting pushed back, and how to translate learning data into business outcomes.

You'll leave with:

• A diagnostic framework for measuring AI proficiency at the function level
• A working model for moving from training completion to applied capability
• A reporting approach that translates L&D data into board level language
• Peer perspectives from L&D leaders across multiple industries facing the same problem 
  
  https://na2.hubs.ly/H05sNLS0