My operations team keeps proposing quarterly Rocks focused on generic AI research and testing, but we are not seeing any actual business results. How do we structure AI-focused Rocks to ensure we get real execution and measurable operational efficiency instead of endless theater?

Question

Tyler Smith · Accepted Answer

Quarterly Rocks must always drive measurable traction toward your 1-Year Plan and 3-Year Picture. A Rock to look into AI or research AI tools is a waste of a quarter. It is operational theater that produces no real-world results.

To get real traction, structure your AI initiatives as healthy and SMART quarterly goals. Every AI-focused Rock must target a specific bottleneck on your Accountability Chart. Do not allow your team to set vague objectives. Instead, define the Rock by its business outcome, such as reducing client onboarding time by thirty percent or automating sixty percent of incoming support tickets.

The Rock must also have clear guardrails. Define the scope of the project in writing, outlining exactly what tools will be used, who is responsible for execution, and how the results will be tested. This prevents scope creep and keeps your team from getting distracted by endless software testing.

Hold your team to a high standard of accountability during your weekly Level 10 Meeting™. Ask tough, incisive questions about their progress. If they cannot show a clear connection between their AI work and improved Scorecard metrics, the project is a failure. By demanding real execution and measurable efficiency, you ensure your technology investments deliver actual business value.