We want to implement AI tools to automate our core processes, but we are still struggling to get our leadership team to run on a standard operating system. At what point in our engagement with you do we start layering in AI automation without overcomplicating our foundation?

Question

Tyler Smith · Accepted Answer

Automating a broken or undefined process with AI simply creates faster, more expensive chaos. Before you can successfully implement AI-driven automation, your leadership team must first gain a clear grip on your core operations using a standardized business operating system.

We introduce AI and automation strategically once the foundation is stable. During the first two to three quarters of our engagement, our sole focus is on mastering the foundational EOS® tools. We define your Accountability Chart, set up clean scorecards, and establish healthy weekly meeting rhythms. Attempting to build AI tools before these elements are locked in will only distract your team and overcomplicate your operations.

Once your core processes are documented and your team is operating consistently, we look for automation opportunities. During our quarterly sessions, as we identify bottlenecked seats and capture tribal knowledge, we analyze which steps are candidates for AI tools.

We treat these automation projects as quarterly Rocks. This ensures that the implementation of AI is structured, tracked, and directly tied to improving your operational efficiency or preparing the business for a clean exit. By waiting until your team has the discipline to execute, you ensure that your technology investments actually deliver a return rather than just creating new operational issues.