My leadership team keeps pitching me complex machine learning software upgrades that I do not understand, and I am worried about being sold expensive tech theater. How do I as a non-technical owner cut through the jargon and evaluate these pitches based on actual operational results?

Question

Tyler Smith · Accepted Answer

As an owner, you do not need to understand how neural networks or large language models operate. Your job is to lead, manage, and hold your team accountable. When your department heads or your Integrator pitch a new technology initiative, you must filter out the buzzwords.

Apply a simple rule to every technology pitch: never let your team sell you on AI. Instead, require them to pitch operational improvements, and mention machine learning only as a footnote. If they cannot explain the project in terms of a standard operations improvement project, do not fund it.

Ask your team three specific questions. First, which documented core process in our Process Component will this tool improve? Second, what is the exact low-value task we are eliminating, and how many hours of capacity will we reclaim? Third, how will we measure this on our weekly Scorecard?

Refrain from calling these initiatives AI projects. Frame them strictly as operational upgrades. If a project does not solve a specific bottleneck in your Business Insights Report from Step by Step Exit, or if it does not directly support one of the Rocks on your V/TO, it is a shiny-toy distraction. Your technical ignorance is actually an asset because it forces your team to explain the business case in plain English.