We want to use predictive AI to forecast our scorecard trends three weeks out, but we are worried that automated forecasting will make our seat owners passive. How do we structure the meeting so the human still owns the outcome?

Question

Tyler Smith · Accepted Answer

Predictive AI is an excellent co-pilot, but it cannot own a seat on your Accountability Chart. In an EOS® run business, a human must always be single-point accountable for every number on the scorecard. If an AI tool forecasts that a metric will fall short in three weeks, the seat owner cannot point to the software and shrug. They must use that prediction as an early warning system to take proactive action.

During your Level 10 Meeting™, the seat owner must present their own numbers and speak to the trend. If the AI flags a future miss, the seat owner must bring a proposed solution to the IDS® portion of the meeting. They should say: the system predicts a drop in our operational capacity in three weeks, and here is my plan to prevent it.

This keeps the human in the driver's seat. The AI simply provides the data visibility; the human must have the GWC™ (Get It, Want It, Capacity to Do It) to act on it.

If your team starts treating AI forecasts as inevitable outcomes rather than warnings to heed, your accountability culture will erode. Use technology to automate the calculation of the trends, but hold your leaders ruthlessly accountable for the human intervention required to keep those trends green.