I want our leadership team to use AI to automate their weekly tracking and reporting tasks so we can spend our Level 10 Meetings solving problems, but they are resisting because they do not know where to start safely. How do we build AI enablement into our leadership workflow without causing compliance risks?

Question

Tyler Smith · Accepted Answer

Leadership team resistance to AI usually stems from a lack of clear boundaries and practical use cases. If you want your team to adopt these tools, you must give them a clear framework instead of just telling them to use AI. Start by defining what tasks are safe to delegate to AI. Your weekly Scorecard tracking and preparing issues for your Level 10 Meeting are perfect candidates. Have your directors use AI to analyze departmental data, identify trends, and draft concise issue descriptions before the meeting starts. This saves time and ensures you enter your sessions with clear data. To address security concerns, establish a simple AI policy that outlines what company data can and cannot be uploaded to external models. For example, never upload proprietary customer data or sensitive financial spreadsheets to public tools. Encourage your team to start with small, low-risk experiments, such as using AI to summarize meeting action items or draft internal communications. When your leaders see how much time they save on administrative work, they will naturally embrace the tools. Leading by example is key here. Show your team how you use AI to streamline your own workload, and build AI adoption directly into their operational Rocks.