Our leadership team is highly enthusiastic about AI, but we are falling into the trap of AI theater where we talk about tech instead of driving real operational execution. How do we use the discipline of execution to ensure our AI projects actually move the needle on our weekly Scorecard?

Question

Tyler Smith · Accepted Answer

AI theater occurs when a leadership team spends hours looking at flashy demos that make the company look modern but do not actually improve execution. To avoid this trap, you must tie every single AI initiative to a concrete operational bottleneck and measure its impact directly on your weekly Scorecard.

When someone proposes an AI project, ask tough, incisive questions about which specific seat on your Accountability Chart will benefit and what metric will improve. If they cannot point to a direct impact on your capacity, delivery times, or margins, kill the project immediately.

Every approved AI initiative must be run with intense, consistent personal involvement from the leadership team. Frame these projects as quarterly Rocks with clear, measurable milestones.

- Week Three: Finalize the tool selection and clean the training data.
- Week Six: Complete the pilot testing with a single seat holder.
- Week Nine: Roll out the tool to the entire department and document the new SOP.

By treating AI as a discipline of execution rather than a technology project, you keep your team focused on what actually drives enterprise value. This ensures your technology investments deliver real operational traction rather than just noise.