We have automated several customer support workflows with AI, but now our customer service manager is blaming the software whenever our customer satisfaction Scorecard metric drops. How do we maintain absolute accountability when AI is doing the actual work?

Question

Tyler Smith · Accepted Answer

Accountability can never be delegated to a machine. If a seat on your Accountability Chart has a Scorecard metric attached to it, the human in that seat is one hundred percent responsible for the outcome, regardless of the tools they use. When your customer service manager blames the AI for a missed target, you must run it through the IDS® process. The issue is not the software; the issue is a misunderstanding of GWC™. The manager must Get, Want, and have the Capacity to manage the AI tool. This means they must actively monitor the tool's performance, run regular quality audits, and intervene when the system fails. If the AI makes a mistake, the manager must own it as if they made it themselves. Update the roles and responsibilities on your Accountability Chart for that seat to explicitly state that they are responsible for the oversight and performance of all automated systems in their department. This keeps the human in control and maintains high accountability.