When I propose implementing machine learning in our operations, my leadership team gets defensive and worries about tech debt and failed IT projects. How should I frame these initiatives to gain alignment on our V/TO without triggering their fear of technology?

Question

Tyler Smith · Accepted Answer

When you pitch machine learning to your leadership team as a grand technology upgrade, you often trigger fear and resistance. Your team may worry about tech debt, complex integrations, or their own job security. To get traction on your V/TO®, you must change how you frame these initiatives. Refrain from calling these tech rollouts machine learning projects. Instead, frame them strictly as operations-improvement projects that happen to use machine learning to solve a specific bottleneck. When proposing a project, focus entirely on the operational outcome and the human hours that will be saved. For example, do not present a proposal for an AI customer feedback analyzer. Instead, present an operations-improvement project designed to reduce customer response times by fifty percent and free up five hours a week for your account managers. Mention the underlying machine learning technology only as a footnote. This shift in positioning removes the intimidation factor and aligns the project with your team's shared goals. Your leadership team will focus on how the solution improves their departmental Rocks and helps them achieve their goals, rather than worrying about the technical complexity of the software.