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Stop Starting from Scratch: Use Your HR History to Put AI to Work Now
HR leaders know AI can transform how work gets done. The harder questions are where to start, what to automate, and how to teach an AI system the judgment and processes unique to your organization.
This session will explore a different approach: using the work your HR team has already completed—historical cases, tickets, emails, and policies—as a blueprint for AI adoption. Using Wisq Autopilot on a real-world sample dataset, you’ll see how existing HR data can reveal the highest-impact opportunities, reconstruct how work actually gets done, and give teams a faster path from experimentation to trusted automation.
You’ll leave with a practical framework you can apply to evaluate and launch AI initiatives in your own organization.
Learning Objective 1
Evaluate historical HR cases, tickets, and communications as implementation data to identify where AI can deliver the greatest value.
Learning Objective 2
Apply a practical framework for prioritizing AI workflows based on volume, effort, complexity, and risk rather than choosing use cases by intuition alone.
Learning Objective 3
Design a human review and iteration process that allows AI workflows to reflect organizational policies and judgment before they are put into production.
Access Level
Open to All Pass Holders