The AI in Business Podcast Challenges HR Leaders Face in Adopting Enterprise AI - with Raúl Monroig of Bristol Myers Squibb
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Nov 11, 2025 Raúl Monroig, People Organization Vice President at Bristol-Myers Squibb, dives into the complex challenges of integrating AI in HR. He emphasizes the importance of quality HR data for meaningful insights and advocates for focusing on a few critical skills like curiosity and agility over broad training. Raúl discusses the ideal AI systems for skill identification and how AI coaching can enhance performance and engagement. He stresses the need for customer-centric HR tools and the value of hiring great users of AI instead of just builders.
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Data Quality Is The Foundation
- HR data is often self-reported and scattered across systems, which undermines trust and usefulness for decision-making.
- Raúl Monroig argues unified, reliable data is fundamental before AI can deliver meaningful HR outcomes.
Prioritise A Small Set Of Skills
- Focus on building two to five high‑impact skills instead of trying to train everything at once to avoid wasted effort and cost.
- Be relentless and disciplined in developing those priority skills to drive measurable business value.
Summaries Are Easy; Causal Links Aren't
- Raúl says AI can instantly summarize thousands of survey responses, which he values highly for speed and insight.
- But he still wants one‑button answers linking HR actions to business metrics like salary, bonus, and sales performance.