Your organization has rolled out AI. The licenses are paid, usage is up, and your board has signed off on the investment. Now the CEO, the board, or the next budget review is asking a simple question: is it working?
Most organizations can't answer that yet. McKinsey found that 88% of companies use AI, but only 6% can point to a meaningful impact on their bottom line. Usage dashboards show who logged in and how many prompts they sent. They don't show whether any of it saved time, cut costs, or changed how work gets done.
Join a small group of finance and executive leaders for an open, off-the-record discussion about how to measure what AI is actually delivering. Josh Mason, CTO of RecordPoint, will lead the conversation, but this isn't a presentation. It's a chance to compare notes with peers facing the same pressure.
We'll talk about:
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What your board and CEO expect when they ask about AI ROI, and what counts as a credible answer
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Why seat counts and login data fall short, and what to measure instead
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How to find the AI use cases that are creating real value, and spread them across teams
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How headcount and budget plans that assume AI productivity gains can be tested and defended
Who should attend: CFOs, CEOs, COOs, and other senior leaders responsible for justifying AI spend or reporting its results to the board.
What you'll walk away with: A practical approach to measuring AI value, plus ideas you can use with your own board and finance team.
Seating is limited to 15 participants. Food will be provided.