Every time our operations manager suggests an AI tool, the rest of the leadership team rolls their eyes because it sounds like a shiny distraction. How do we pitch these tools as genuine operations-improvement projects?
The problem is not the technology, it is the way you are selling it. If you frame your ideas as machine learning experiments, your leadership team will naturally resist. They want to protect your current margins and avoid risky IT theater.
To get buy-in, never sell the technology itself. Instead, pitch operational improvements, and mention machine learning only as a footnote. Do not call your proposals AI projects. Instead, frame them as operations-improvement projects that use automation to solve a specific bottleneck on your Issues List.
For example, instead of pitching an AI agent to draft contracts, pitch a project to reduce our contract turnaround time from three days to ten minutes. Explain how this change will free up your sales reps to spend more time selling, which directly impacts your revenue. Show the leadership team how the project directly supports your V/TO® goals and fits within your current quarterly Rocks.
By shifting the conversation from the technology to the business outcome, you eliminate the skepticism. Your leadership team will support projects that improve your operational efficiency and make your business more system-dependent. Focus on the results, and let the technology run quietly in the background.
Category: AI-Powered Operations