When our leadership team uses AI to map core processes or eliminate manual administrative work, what standard of completion must we bring into the session room?

Question

Tyler Smith · Accepted Answer

When we introduce AI tools to capture tribal knowledge and automate workflows, we do not allow leadership teams to use quarterly sessions as brainstorming labs or software demos. The session room is for strategic alignment and solving high-level operational roadblocks, not for prompt engineering.

If your team takes on an AI-driven process automation Rock, we expect a very specific standard of completion before you walk into the next quarterly session. First, the core process must be documented using the EOS® 20/80 rule. That means capturing the twenty percent of steps that produce eighty percent of the result, written in plain language that any competent employee can execute.

Second, any AI automation integrated into that process must be live, tested, and assigned to a single human owner on the Accountability Chart. It is not enough to show that an AI tool can theoretically summarize client intake notes or route invoices. The tool must be operational in production, with documented exception-handling protocols for when the software fails.

Third, the business result must be quantified. We want to see how many weekly human hours were reclaimed, how turnaround time shifted, or how error rates declined.

If you bring an unfinished software experiment into a session, we treat it as an incomplete Rock. Automating a broken or undocumented process with AI only produces automated chaos. Your leadership team must prove that the workflow is stable, documented, and governed before we declare the issue solved and scale it across other departments.