In this session, Jessica Zwaan (VP People Strategy & Operations, Leapsome) and Vanessa Monsequeira (Founder, Intelligence Rewired) each run a live AI build.
Jessica maps where top performers sit within their pay bands, flagging teams below the band midpoint. Vanessa builds a forward-looking growth plan and coaching guide, so managers can talk about potential, not just past results.



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Fair pay is hard to prove, and growth plans are easy to skip. Most HR teams have the data to fix both, just not in one place, and not in a form they can act on.
In this live build, Jessie shows where top-rated employees from the last review cycle sit within their salary bands, by team and level, and flags teams where a high share of top performers sit below the band midpoint. It's the pay fairness case HR teams bring to the CFO, built from core employee data, reviews, and compensation data.
Then Vanessa tackles the other half of the problem. Performance management spends most of its time looking backward, so Ness builds a forward-looking growth plan and a coaching conversation guide with AI, so managers and employees can talk about potential and not only past results.
What you'll learn
- How to build a dashboard that maps top performers against their pay bands, by team and level, using your own employee, review, and compensation data
- How to flag teams where top performers sit below the band midpoint, before your next compensation review
- How to turn review data into a forward-looking growth plan and a coaching conversation guide, so managers can talk about potential, not just past results
- The exact AI prompts behind both builds, so you can recreate them for your own team
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