Problem Statement

Gathering, analyzing, and contextualizing market or industry benchmarks requires specialized resources and slows decision-making

Description

AI can support HR benchmarking by rapidly scanning publicly available information and synthesizing what peer institutions are doing on a given topic (e.g., benefits, leave practices, remote/hybrid policies, tuition programs, career frameworks). Instead of spending hours manually searching, HR teams can use AI to compile an initial landscape summary, surface common approaches and emerging trends, and organize findings into comparisons that are easy to review and discuss.

To use this responsibly, AI-generated benchmarking should be treated as a starting point, not as a final source of truth. HR practitioners should:

• Verify key details directly from the original institutional sources (links, policy pages, official documents)
• Confirm the date, scope, and applicability of policies before drawing conclusions
• Use appropriate peer group selection and document assumptions and methodology

Used this way, AI can save significant time, expand visibility into external practices, and help teams focus on higher-value work such as validation, interpretation, and U‑M-specific recommendations.

Learn More

Leveraging AI in Benchmarking Reviews

Contact

Email UHR Generative AI Governance for more information or assistance in any AI in HR needs.