AI for People Teams:
What to Build, What to Buy,
and How to Decide

As People teams look to AI to drive transformation, they're facing an increasingly important decision: Should they build their own AI solutions or invest in purpose-built technology from external providers?

While building an impressive AI prototype internally has become easier, developing a reliable solution that can support complex workforce decisions is a different challenge. How should People leaders evaluate their options, understand what's required, and decide how to build their future tech stack?

Join Joelle Emerson, CEO and Co-Founder of Surface, for a practical discussion on how to navigate the build-versus-buy decision and make smarter AI investments.

What we'll cover:

• Why AI for People teams is different: The complexity of workforce data, the expectations of executives, business partners, and employees, and the organizational impact of getting decisions right or wrong.
• What effective AI solutions require: Why access to data and powerful AI models isn't enough, and the importance of organizational context, market intelligence, and specialized expertise.
• What it really takes to build AI: The difference between developing a working prototype and building a reliable, scalable solution, including the ongoing investments in infrastructure, security, maintenance, and accuracy.
• How to decide whether to build or buy: A practical framework for evaluating competitive advantage, internal capabilities, total cost of ownership, and opportunity cost, including when a combination of both makes sense.

This webinar is designed for CHROs and senior People leaders evaluating AI solutions and deciding where to invest their teams' time, resources, and budgets.