Every time our managers suggest an AI initiative, the discussion devolves into technical jargon and software features. How do we discipline our team to pitch operational improvements rather than machine learning tools?

Question

Tyler Smith · Accepted Answer

Kill the phrase artificial intelligence project across your entire company. The moment your team labels an initiative as an AI project, they begin shopping for technology instead of hunting for operational waste. Technology theater wastes cash and distracts your leadership team from executing your Vision/Location Organizer.

Institute a strict rule for all future quarterly Rocks and Level 10 Meeting issues: never pitch an AI tool, pitch the operational improvement that machine learning happens to enable. Frame every single proposal as a standard operations-improvement project where the technology is mentioned only as a footnote.

Require managers to answer three plain-English questions before they are permitted to evaluate any software:
- What specific, documented friction point in our Core Processes is currently bottlenecking throughput?
- What measurable Scorecard number will move once this friction is removed, such as gross margin, days to invoice, or error rates?
- What does the manual, human-driven baseline cost us today in loaded employee hours?

If a manager cannot describe the problem without using terms like neural networks, models, or automated agents, send them back to the drawing board. They have fallen in love with a tool rather than solving a business issue.

When you force your leadership team to focus entirely on process efficiency and labor productivity, the conversation shifts from speculative tech hype to hard operational reality. The tools you use to streamline the workflow do not matter to your bottom line or your eventual buyer; the measurable, repeatable business outcome is all that counts.