AI Pilots Don’t Fail Because the Model Is Weak — They Fail Because the System Around It Is
Most organizations don’t struggle to start AI. They struggle to finish it. A pilot gets approved, a model gets trained, a demo looks good—and then everything slows down: handoffs between teams, unclear ownership, brittle data pipelines, no repeatable release process, and no reliable way to monitor performance once it’s live. The result is predictable: fewer […]