Supply chain leaders have invested heavily in technology over the last few decades and were among the earliest adopters of AI. Yet despite 90% of companies reporting AI use, only 7% have successfully scaled it. For many, supply chain execution remains manual, fragmented, and slow. What separates the companies that have scaled AI from the 90% still stuck in pilot purgatory? And why aren't more organizations seeing meaningful returns? 

In this episode, host Christian Johnson speaks with Rahul Shahani, a Partner in McKinsey's Operations Practice and AI and technology enablement leader for manufacturing and supply chain, and Kapil Dev Bansal, an Associate Partner and global leader for agentic AI in manufacturing and supply chain. Together, they explore why domain-level workflow orchestration outperforms traditional use-case thinking, and how companies can generate durable value instead of launching yet another stalled pilot. 

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