Beyond AI Usage: Measuring What Matters
Your organization is investing in AI tools, training, and new ways of working. How do you know which of those investments are paying off?
Usage, fluency, and token consumption can all tell you something about AI adoption. But as organizations mature, leaders need to connect those signals to a bigger picture: how AI is changing the work, what value it’s creating, and where continued investment makes sense.
In this session, we’ll look at three ways to get a clearer picture of AI impact:
Separate progress from activity — Identify the signals that show AI is changing how people work, not just how often they use it.
Evaluate cost vs. benefit — Understand how to weigh investments in AI tools, training, and enablement against the value they create.
Measure what matters — Learn which metrics and milestones more AI-mature organizations track, and how to connect them to the outcomes executives and boards care about.
Clarinet Cofounder and Head of Product Diane Sadowski-Joseph and CEO Dhruv Singh will bring both an AI enablement and executive perspective to what effective measurement looks like.
You’ll leave with a practical framework for evaluating AI impact beyond fluency and usage, and a clearer set of metrics you can start applying to your own AI initiatives.
Who this is for: HR, L&D, and AI transformation leaders responsible for measuring and demonstrating the impact of their organization’s AI investments.