ai-implementation

Coverage of what it takes to move AI from prototype to production, where the hard work of integration, data plumbing, and organizational change actually lives. Expect practical guidance on closing the gap between a working demo and a system that delivers measurable business value. Topics include workflow integration, data readiness, change management, and defining success metrics that hold up beyond the pilot stage.

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.