You've experimented with AI prompts, but how do you turn a useful one-time result into something your HR or Rewards team can use consistently?

In this hands-on lab, you'll learn how to design AI-supported workflows for repeatable tasks such as answering policy questions, preparing compensation analyses, organizing benefits information or supporting managers. Using a practical five-part framework, you'll identify a workflow worth improving, define the information it needs, establish clear instructions and outputs, and determine where human review is essential.

You'll examine examples of AI workflows that produce incomplete or unreliable results, then explore how better instructions, approved information sources and review checkpoints can improve consistency and usefulness. You'll leave with a blueprint for an AI-supported workflow you can adapt to your organization, along with practical considerations for protecting sensitive information, evaluating results and keeping people responsible for important decisions.