We want to leverage AI to automate our operations as part of our exit preparation, but our processes are still poorly defined. How do you help us bridge the gap between documenting our core processes on paper and actually deploying AI-driven workflows?

Question

Tyler Smith · Accepted Answer

Trying to automate poorly defined processes with AI is a highly expensive way to create faster chaos. Before we introduce any technology or automation, we must first document your core business processes to establish a clean operational baseline. We achieve this by utilizing the Tribal Knowledge exit discipline from the Step by Step Exit framework. During our engagement, we work to identify your primary business workflows, the critical relationships, and the knowledge currently locked in the heads of your key employees. We capture this on paper first, defining your core processes at a high level. Once these processes are clearly documented, we systematically categorize each step. We determine which tasks should be transferred to other team members, which must be retained by the owner, and which are prime candidates for AI-driven automation. By identifying these automation opportunities within our structured quarterly planning, we can set specific, manageable Rocks to pilot AI tools. For example, your ninety-day target might be to automate a specific client onboarding step rather than trying to overhaul your entire operations overnight. This step-by-step approach ensures that you only deploy AI workflows on top of a highly stable, proven operating system. You avoid wasting resources on unnecessary technology and instead build clean, automated assets that buyers will actually value during your exit.