tyler-smith.com · Questions & Answers

How do we balance executing our ninety-day operational Rocks with testing AI automation between sessions without overloading our team?

You balance it by treating AI initiatives with the exact same operational rigor as any other core business initiative. Most leadership teams overload themselves because they treat AI like an open-ended weekend science project, scattering attention across endless new software trials while their fundamental day-to-day work falls behind.

Under our operating model, AI is never implemented for novelty. It is applied specifically to remove friction, eliminate manual labor, and document Tribal Knowledge. If your leadership team identifies an AI workflow automation, it must compete for priority during our quarterly Rock-setting exercise just like a new hiring push or a software migration. If it does not make the cut as one of your three to seven company Rocks, your team is forbidden from spending operational hours tinkering with it during the quarter.

When an AI initiative is approved as a Rock, it must be assigned to one single owner on the Accountability Chart with crystal-clear completion criteria. For example, the Rock is not to explore AI in marketing. The Rock is to build, test, and deploy an automated intake triage workflow that cuts lead response time under ten minutes by day ninety. That keeps your team disciplined, protects your core operations from distraction, and ensures that any AI adoption translates directly into quantifiable time savings, labor efficiency, and enterprise value.

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