HR and compensation leaders get a practical look at bringing AI into their organizations without creating new risks. HR consultant Jodi Brandstetter joins Sean and Paul to cover where AI works best in HR, why governance has to come first, and how to decide between the AI already built into your HR tools and building your own. They also share real examples of AI adoption going wrong, from employees pasting company data into free chatbots to an intern pulling data from several systems without anyone approving it. You will leave knowing how to start small, test AI on work your team already knows well, and set guardrails so employees can experiment safely. Chapters
09:24 – Where HR sees the most success with AI
10:51 – What organizations need before adopting AI
12:27 – Why to start AI on work you already understand
14:11 – Vendor AI versus building your own AI tools
16:22 – How to choose the right AI tool for your company
17:37 – Job matching, leveling, and embedded AI in compensation
20:45 – Why HR still needs basic AI knowledge
21:47 – Common ways AI adoption goes wrong in HR
28:08 – Using AI to rewrite a pay philosophy for different audiences
32:57 – How HR can become part of the AI conversation
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