Our managers keep pitching AI ideas that lead nowhere because they are focused on the technology instead of the problem. How do we reframe internal proposals so the team focuses on fixing operational bottlenecks rather than chasing new AI tools?

Question

Tyler Smith · Accepted Answer

Ban the word AI from all initial problem-solving discussions. When team members get enamored with shiny tech tools, they look for problems to fit the tool. This burns company cash and leads to operational paralysis.

In your weekly Level 10 Meeting, enforce the discipline of IDS. Identify the root cause of the breakdown before discussing any solution. Require your managers to follow three strict rules when pitching an operational improvement:
- Name the friction: Define the exact step in your documented Core Process that is broken, how many weekly labor hours it wastes, or what dollar margin is leaking.
- Calculate the baseline: State the current error rate, turnaround time, or payroll cost before proposing any change.
- Propose the fix as an operational improvement: Pitch the operational change first. Machine learning or automation should only be mentioned as an execution footnote.

If a manager cannot describe the business problem without using technical buzzwords, reject the proposal immediately. Your company does not need machine learning experiments. It needs system-dependent operations that increase throughput and protect margins. When your team learns that capital and Rocks are only awarded to documented operational improvements, the vanity pitches stop and real process optimization begins.