During quarterly planning, our leadership team keeps proposing Rocks centered around exploring AI. How do we stop this AI theater and keep our quarterly priorities focused on measurable operational results?

Question

Tyler Smith · Accepted Answer

Exploring AI is not an acceptable Rock. It is vague, unmeasurable, and classic corporate theater. When a leadership team member proposes an AI Rock, the visionary and Integrator must immediately push back and ask one question: What operational friction point on our Scorecard or V/TO are we trying to solve?

Never sell AI internally. Machine learning is not a strategy; it is an enabling technology. Frame every quarterly priority around the operational bottleneck, mentioning machine learning only as an implementation detail or a footnote.

Reject Rocks phrased like these:
- Implement an AI customer service tool.
- Research machine learning options for the estimating team.
- Roll out an internal company chatbot.

Require your leadership team to reframe those priorities into specific, measurable operational outcomes:
- Reduce customer warranty intake processing time from 48 hours to 4 hours while maintaining 98 percent data accuracy.
- Increase commercial estimating capacity from 15 bids to 35 bids per week per estimator by automating quantity takeoffs.
- Cut accounts payable invoice reconciliation labor by 70 percent without adding administrative headcount.

If the department head achieves that specific operational result using an off-the-shelf automated software pipeline, a language model, or a set of standard operating procedures, the Rock is a success. If they spend ninety days playing with AI prompts but the operational metric does not move, the Rock fails. Keep the focus entirely on operational execution, accountability, and bottom-line margin expansion.