Our managers want to create an AI committee and launch several exploratory machine learning projects. How do we stop this corporate theater and reframe AI around tangible operational results?

Question

Tyler Smith · Accepted Answer

When companies announce internal AI committees and open-ended innovation sprints, they waste hundreds of hours generating ideas that never affect gross margin. Committees produce research decks; operators solve bottlenecks.

To eliminate the theater, eliminate the term AI project from your company vocabulary.

Follow these operational rules:
- Reframe everything as an operations improvement project: Whenever a manager pitches an AI solution, force them to strip the software name out of the title. If the proposal is not titled Inventory Discrepancy Reduction or Estimating Turnaround Compression, reject it. Mention technology only as a footnote.
- Tie projects to quarterly Rocks: Never allow AI exploration during daily working hours. If an operational bottleneck is severe enough to warrant automated tooling, make fixing it an official company or departmental Rock with a measurable milestone.
- Enforce single-seat ownership: Disband exploratory committees. Every initiative must sit squarely within a single seat on the Accountability Chart. That person owns the problem, the implementation, and the target metric on the Scorecard.
- Look at the P&L first: Prioritize automating cumbersome processes that keep employees stuck in repetitive administrative work. Employees are one of your largest operational expenses. Using AI to liberate them from low-value data entry so they can focus on high-margin delivery yields an immediate, tangible return.

Run your company with operational discipline. Tools change every month, but the fundamentals of cost control, cycle time reduction, and system accountability never change.