Our department heads are bringing us endless ideas for AI tools, but most of them feel like pure operational theater. How do we establish a filter to separate high-impact operational improvements from shiny-toy distractions?

Question

Tyler Smith · Accepted Answer

It is easy to get distracted by shiny new AI tools, especially when every software vendor is claiming their tool will revolutionize your industry. To keep your leadership team focused on what actually matters, you must establish a strict filter that grounds every proposed AI tool in real operational improvement.

Never approve an AI project just because it sounds advanced. Instead, frame every request as an operations-improvement project that happens to use machine learning.

When a department head proposes a new AI tool, require them to answer three simple questions before it can be added to your V/TO® as a potential Rock:

- Which specific bottle-necked process in our Process Component will this tool improve?
- How many hours of manual capacity will this automation directly free up on our Accountability Chart?
- What is the specific, measurable impact this will have on our weekly scorecard metrics?

If they cannot answer these questions with concrete numbers, the project is operational theater and should be rejected immediately.

By enforcing this discipline, you keep your team focused on solving real business problems instead of chasing tech trends. You ensure that every dollar and hour spent on AI is directly linked to increasing productivity, improving margins, and building a more valuable, system-dependent business.