ai-adoption

Covers how organizations move AI from pilots and demos into production systems that actually deliver value. Expect practical takes on the real barriers: data fragmentation, workflow integration, change management, and defining success metrics. The focus is on the last-mile work that separates promising prototypes from deployed tools people use, plus the organizational and cultural shifts that make adoption stick rather than stall after the initial enthusiasm fades.

ai-adoption, enterprise-ai, ai-implementation, change-management, ai-strategy

The Last Mile Problem of AI: Why Building the Demo Is Easy and Delivering Value Is Hard

Building an impressive AI demo has never been easier, but most organizations fail to turn prototypes into production systems that deliver real business value. The true barriers are data fragmentation, workflow integration, organizational change, and undefined success metrics, not model quality.