Our operations manager wants to automate our entire inventory tracking using custom-built AI agents, but our team is already stretched thin. How do we evaluate whether this automation is a genuine operational improvement or just another high-risk distraction that will derail our Rocks?

Question

Tyler Smith · Accepted Answer

With all the hype surrounding artificial intelligence, it is easy for your leadership team to fall victim to operational theater. This happens when departments spend weeks building complex automations for processes that do not actually move the needle on your profitability or exit readiness.

To separate real operational improvements from shiny-toy distractions, you must use your EOS framework as a filter. Every proposed automation must be tied directly to a 90-day Rock or a major bottleneck identified in your Step by Step Exit assessment. If the project does not directly support your V/TO or solve an issue on your Issues List, table it.

Prioritize use cases that improve operational efficiency by freeing your employees from low-value tasks so they can focus on high-value strategic work. If your operations manager wants to automate inventory tracking, ask if inventory tracking is currently causing stockouts, billing delays, or excessive labor hours. If it is, and the data is clean, proceed. If it is just a pet project to try out new software, kill it. Focus your limited engineering and management bandwidth on the absolute highest-leverage workflows that directly protect your margins and build a system-dependent business.