We want to set a company-wide AI integration Rock for next quarter. How do we structure this Rock so it delivers a measurable operational result instead of just becoming a generic research project?

Question

Tyler Smith · Accepted Answer

A weak Rock sounds like research AI options for sales. This is a recipe for zero progress. To make an AI Rock effective, it must be SMART: specific, measurable, attainable, realistic, and timely. It must focus on a specific bottleneck in your operations.

Start by looking at your Issues List. Identify a specific, repetitive administrative pain point. For example, if your client onboarding takes too long, your Rock should be to automate the intake document extraction.

Next, define the exact scope of the Rock. A well-structured Rock would read: Build and launch an AI workflow to extract client data from onboarding documents, reducing manual entry time from four hours to fifteen minutes. This gives your team a clear, binary goal.

Finally, assign the Rock to one specific seat on your Accountability Chart. That person is fully accountable for its completion. They will need to report progress as on track or off track during your weekly Level 10 Meeting. By tying the Rock to a specific, measurable time-saving metric, you ensure the project delivers real bottom-line value instead of empty technical theater.