A Practical Checklist for Building Talent and Culture AI Tools

AI is making work faster. Talent and culture leaders are responsible for making work better—optimizing the conditions that inform whether people can perform at their best.    

To do that well, they need purpose-built AI tools that can hold rich organizational context, inform decisions with relevant benchmarks, reinforce sound judgment, and operate in messy, real-world data environments. Building those tools internally is possible, but it requires capabilities most teams underestimate.

Talent leaders know they need to adopt AI, but often aren’t sure of the best approach. Should they buy tools from a vendor? Work with internal developers to build homegrown solutions? Use ChatGPT?

For leaders and companies considering building their own internal AI tools for talent and culture, this checklist outlines what it actually takes. These are the capabilities teams need to intentionally design, build, maintain, and govern to enable AI to meaningfully support talent programs that drive performance, engagement, and trust.