Scaling AI: Why Task-Level Wins Don’t Move the P&L

Episode Summary

In this episode of AI Success Factors, host Samuel Matthew sits down with Wes Herzik, Executive Director of Enterprise AI Transformation & Operations at JPMorganChase, to explore why many AI initiatives fail to deliver measurable business impact. Wes explains how organizations often get stuck optimizing isolated tasks instead of redesigning end-to-end workflows. The conversation dives into governance, federated operating models, and why change management must start early—especially as enterprises adopt agent-based AI systems. This episode is essential listening for CXOs looking to turn AI pilots into scalable, enterprise value.

Key Takeaways

• Task-level automation rarely delivers ROI without workflow redesign
• Scaling AI is an operating-model and leadership challenge, not just a tech problem
• Federated teams need shared capabilities, data, and governance guardrails
• Early change management accelerates adoption and reduces risk

Featuring

Host: Samuel Matthew, AI SuccessFactors Podcast, Host & AI Practitioner
Guest: Wes Herzik, Executive Director – Enterprise AI Transformation & Operations, JPMorganChase

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