David talks with Dara about choosing HR technology based on the outcome it needs to deliver—not simply adding AI.
They discuss when straightforward automation or rules may work better, and how MCP-enabled, “headless” workflows could make HR tasks and information easier to access across the tools people already use.
Key topics and takeaways
- Start with the use case. Dara describes scheduling and candidate-loss-risk examples where rules and existing data may solve the problem without AI, extra token costs or overengineering.
- Evaluate AI by its results and cost. The guests say AI’s value should be judged by whether it delivers the desired outcome, not by its effect on a company’s perceived valuation.
- Bring workflows to people. Dara sees MCP as a way for hiring managers, interviewers, finance partners and candidates to take part in recruiting workflows without learning an applicant-tracking system. They also discuss using messaging tools such as Slack or Teams.
- Improve the data underneath. Easier access can also surface inaccurate HR data more prominently; the guests stress that organizations need clean data to support good decisions.
- Make benefits decisions easier to navigate. They discuss using connected information to help employees compare plans, understand changes, and make decisions about benefits and FSA contributions.
- Make rewards information available when it’s useful. The guests contrast annual total-rewards statements with the possibility of seeing an updated picture when comparing a job offer or planning a mortgage.
Names and resources mentioned
- Dara Brenner — guest
- Work Carousel — sponsor; the host mentions workcarousel.com/join.
- ADP, Slack, Teams, NetSuite, Workday, Claude, Walgreens, Mint, Quicken and QuickBooks are mentioned.
Powered by the WRKdefined Podcast Network.
Sponsors
