We want to run fast-paced AI pilots to automate our back-office operations, but the rapid testing cycle is disrupting our stable ninety-day EOS® rhythm. How do we test and deploy new AI workflows without completely derailing our quarterly plan?

Question

Tyler Smith · Accepted Answer

Running fast-paced AI pilots can easily conflict with the structured ninety-day execution cycle of EOS® if you do not manage them correctly. The key is to keep your experiments contained so they do not disrupt your core operations.

First, treat your AI initiatives as specific Rocks rather than open-ended projects. If you want to test AI tools in your customer service department, your Rock should be to run a defined pilot with a specific number of interactions over thirty days. This gives your team a clear boundary for their experimentation without allowing the project to bleed into other business areas.

Second, do not allow every new AI tool to become an immediate issue on your weekly Level 10 Meeting™ agenda. Designate a single seat on your Accountability Chart, typically under the Integrator or an operations lead, to filter these opportunities.

Third, use your quarterly sessions to evaluate the results of your pilots. If an AI pilot is successful, the next step is to document the new workflow and update your processes during the following quarter. By keeping the experimentation phase contained within a ninety-day window, you maintain your operational stability while still moving fast enough to leverage new technology.