I want to pitch some major operational automation projects to our board and leadership team, but I am worried they will dismiss them as risky technology experiments. How should I frame these AI initiatives to get immediate buy-in without the technical jargon?

Question

Tyler Smith · Accepted Answer

The biggest mistake you can make when proposing automation is to focus on the technology itself. If you pitch a machine learning project or an AI initiative, your leadership team will immediately worry about high costs, implementation delays, and complex security risks.

Instead, never sell AI. Frame every proposal as an operations-improvement project, and relegate the mention of machine learning to a minor footnote. Your leadership team cares about business outcomes, not the underlying code.

Present the project in terms of its direct impact on your EOS Scorecard and P and L. For example, do not say you want to build a machine learning model for inventory management. Instead, state that you are launching a project to reduce warehouse carrying costs by twenty percent and improve order fulfillment speed.

By keeping the focus entirely on solving real business problems and removing low-value tasks, you remove the fear of the unknown. Your team will judge the initiative by its operational merit, leading to faster decisions, better alignment, and successful execution.