AI can review job information and recommend decisions in a fraction of the time it takes to do the work manually. But if a compensation professional can't understand how AI reached its conclusion, how meaningful is their approval?

Using a prototype AI agent developed for M&A job mapping, this session explores what it takes to keep human judgment at the center of AI-supported Rewards decisions.

Watch a live demonstration as the AI compares roles from two organizations and recommends how they should align. See what happens when the recommendation is questionable, what information the compensation professional needs to evaluate it and why simply adding an approval step isn't enough.

The discussion will also explore how the role of Rewards professionals may change as AI takes on more analytical work. Leave with a practical way to evaluate whether your own AI-enabled processes provide the transparency and control needed for informed human decisions.