We have automated our dispatch routing using an AI algorithm, but our operations team is starting to blame the tool whenever we miss a service window. How do we maintain absolute individual accountability on our Accountability Chart when a software tool is making the real-time operational decisions?

Question

Tyler Smith · Accepted Answer

You must never allow a software tool to become an excuse for poor performance. In the EOS® framework, every single operational process and metric must map back to a human seat on your Accountability Chart. If a system is failing, a human must own the solution.

To maintain absolute accountability, clearly define who owns the tool itself. The person in that seat must GWC™ (Get it, Want it, and have the Capacity to do) the job of managing the AI. This means they are responsible for monitoring its outputs, identifying errors, and adjusting the parameters when things go wrong.

Update your weekly Scorecard to reflect this ownership. If your dispatch routing is automated, your dispatcher's Scorecard metric is not "Did the AI route correctly?" but rather "Did we meet our service windows?" If the AI makes a mistake, the dispatcher must IDS® the issue, identify the root cause, and work to refine the tool's rules.

By keeping the human accountable for the final outcome, you prevent the team from treating AI as an untouchable black box. The software is simply a tool, much like a truck or a calculator. If the tool is underperforming, the human owner of that seat must either fix the tool or adjust their process to ensure the company still delivers on its promises.