What is this meeting about?
Most organizations spend days on job grading - collecting information, aligning on methodology, and calibrating outcomes. What if that process could run in seconds, consistently, and at scale?
In this session, Mirza walks you through an AI-powered job grading prototype built using the KF/Hay methodology. He will cover the problem the tool was designed to solve, how it works under the hood, and what it takes to deploy something like this in your own organization.
The session is practical, demo-based, and designed for reward professionals who want to understand both the potential and the limitations of AI in job evaluation.
This session addresses a working prototype that is good to start with. You might elevator and shift it in your organization as is. Clearly, further enhancements are possible, It is not a finished product yet.
A discussion on how to move from good to better to best is part of the session.
