How do you help our leadership team evaluate and deploy AI automations without creating side distractions that derail our standard quarterly EOS execution?

Question

Tyler Smith · Accepted Answer

The biggest risk with artificial intelligence right now is shiny object syndrome. Leadership teams get mesmerized by new tools, launch disconnected experiments, and end up burning hundreds of hours without producing a dollar of enterprise value or a minute of saved labor. In our engagement, we treat AI strictly as an operational multiplier, fully subordinated to your EOS rhythm.

AI initiatives never run as rogue skunkworks projects. Instead, they must earn their way onto your quarterly plan through your core operational reviews. During our V/TO and process reviews, we analyze the 20 percent of your core processes that generate 80 percent of your friction. We pinpoint where your people are wasting valuable hours on repetitive data transcription, routine customer updates, manual document extraction, or intake routing.

If an automated workflow has clear return on investment, we scope it as a formal 90-day Rock with a single owner, clear deliverables, and a measurable business outcome, such as reducing quoting turnaround time from three days to four hours. The owner is held accountable for that Rock during the weekly Level 10 Meeting just like any other strategic initiative.

Furthermore, we document the automated workflow directly into your core process documentation. Automation that is not codified creates technical debt and new operational dependencies. By forcing AI projects through the discipline of Rocks, Scorecards, and process documentation, we ensure your investments eliminate operational drag, protect profit margins, and create permanent enterprise value rather than executive distraction.