GTMcraft Plays · The Rollout Architecture Play

Most AI rollouts are cleaned up after the fact; these five steps design the rollout so it sticks.

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The 90-second read

You bought the AI seats and ran the training, and adoption stayed uneven. The stack is heavy and underused, so you are cleaning up after a rollout nobody designed. A European RevOps team fixed this by treating the rollout as architecture, not a mandate. They took one handover brief from 40 percent filled to 75 percent, by naming the failure modes up front. AI rollouts fail in three predictable ways, and each has a design fix you set before you launch.

• Your stack is heavy but underused, so you are cleaning up after a rollout, not running one.
• AI rollouts fail three predictable ways: no reference build, no owner, no measured handoff.
• A reference build the team can copy beats a mandate nobody has seen work.
• Adoption that is nobody's job stays uneven; one owner and one metric fix that.
• Measure the handoff, like brief fill rate, so you see adoption before the quarter ends.

Read time: about 5 minutes. First step runnable Monday morning.

The #1 move this week

Name the three ways this rollout could fail, before you launch it.

Most rollouts get cleaned up because nobody named the failure modes first. No reference build, no owner, no measured handoff. Write them down, and you can design each one out.

Start here: write the one workflow you are rolling out, then the three failure modes against it. That page is your rollout architecture, and it takes an hour.

Ignore this week: buying more seats or another tool. The gap is not licenses, it is a rollout nobody designed to stick.