Without measurement, AI initiatives risk being dismissed as experiments rather than trusted ways of working. In this lesson, you’ll learn how to track the impact of AI in HR using a small set of practical, meaningful metrics, without creating extra reporting burden. You’ll explore how to measure time saved, quality improvements, adoption, and confidence, while ensuring ethical guardrails remain in place. This lesson helps HR teams demonstrate real value to leadership and build the momentum needed to sustain AI adoption over time.

Learning objectives

By the end of this lesson, you will be able to:

• Identify simple metrics to measure the impact of AI in HR workflows
• Calculate time savings and translate them into business value
• Track quality improvements and error reduction in AI-assisted outputs
• Monitor adoption, confidence, and usage across the HR team
• Use a continuous improvement flywheel to sustain responsible AI adoption