Our department heads keep asking for budget to experiment with shiny new AI tools. How do we force them to frame these requests around real operational improvements rather than technology experiments?

Question

Tyler Smith · Accepted Answer

Never buy or sell AI inside your operating company. AI is not a strategy, a departmental objective, or an operational goal. It is an underlying technology, nothing more. When leadership teams treat AI as a standalone initiative, they waste capital on disconnected software tools that solve no actual business problem.

To stop tool sprawl and eliminate corporate theater, establish a strict rule: department heads are forbidden from submitting software requests centered on AI features. Every request must be framed as an operations-improvement project that happens to use machine learning as an execution mechanism.

Require any manager proposing an automation project to submit a simple, one-page business case answering four specific operational questions:
- Which documented Core Process or specific bottleneck is currently hurting our Scorecard numbers or slowing down delivery?
- How many manual payroll hours or dollars in operational errors does this problem cost our company every month?
- What is the exact workflow change being proposed, what tool executes it, and which seat on the Accountability Chart owns quality control?
- What measurable metric will prove this project succeeded sixty days after deployment?

If the manager cannot identify the operational bottleneck or quantify the labor waste, the request is denied immediately. When you force your leadership team to focus on the P&L bottleneck first and the technology second, you protect your capital and build truly system-dependent operations.