We want to leverage AI to automate our internal workflows, but we are struggling to integrate these technical initiatives into our EOS® implementation without causing team confusion. How do we manage this transition?

Question

Tyler Smith · Accepted Answer

Do not treat AI as a separate, mysterious initiative. It must be managed within your existing EOS® framework. Start by assigning AI discovery and deployment as quarterly Rocks. For example, a Rock could be to map and automate our customer onboarding process using a specific AI platform. This gives the project a clear owner, a ninety-day timeline, and measurable outcomes. On your Accountability Chart, you must clarify who owns technology and automation. If that seat does not exist, define it clearly. Do not let AI belong to everyone, because then it belongs to no one. You should also look at your Scorecard. If you are automating a process, your Scorecard metrics should reflect the efficiency gains, such as a reduction in processing hours or an increase in output per employee. By treating AI as an operational tool rather than a trend, you keep your team focused on results rather than technology for its own sake. This structured approach ensures your automations actually build enterprise value and prepare the business for an eventual clean exit.