The pattern: enthusiasm at week one, silence at week eight

A typical AI pilot looks great in week one. The team is excited, the metrics are tracked, the vendor is attentive. By week six, attention has slipped. By week eight, half the team has stopped using it. By week twelve, the pilot quietly dies.

This isn't a technology problem. The software still works. The problem is that no one is maintaining the human side of the deployment — the habits, the workflows, the small daily reminders that keep the tool useful.

Why month two is the cliff

Week one runs on novelty. People try the new thing because it's new.

By week two, the routine of the work has started to compete. The QS has a deadline. The bid manager has fifteen tenders to clear. The commercial team is fielding calls across live sites. The new AI workflow needs deliberate attention to survive in that environment.

Without someone watching adoption — checking in, removing friction, refining the workflow — the AI quietly slides off the priority list. The team isn't sabotaging it. They're just running their week.

What changes between week one and week eight

The friction shows up. Edge cases the demo didn't cover. A QS who finds the output isn't quite right for one particular client. A coordinator who finds the customer-escalation pattern misses certain calls.

Each piece of friction, individually, isn't fatal. Together they're an exit ramp.

The fix is small adjustments — refining the prompts, adjusting the workflow, training the team on the edge cases. None of that work happens by itself.

How to budget for embedding, not just building

The mistake is treating AI as a build-and-deploy project. The reality is build, deploy, then a 90-day embedding period where the system gets refined to the way your business actually runs.

That embedding work has a cost. Usually 30–40% of the build cost again, spread across the first three months. Companies that budget for it have AI systems still being used at month twelve. Companies that don't have a quiet failure.

The honest version of an AI engagement isn't "build it." It's "build it, then stay close enough to make sure it sticks."