We automated our inventory procurement using an AI model, but we are now experiencing major supply delays. How do we run an IDS session to determine if the issue is a tool failure or a people accountability issue?

Question

Tyler Smith · Accepted Answer

When automated workflows fail, leadership teams often blame the technology and immediately abandon the tool. This is a mistake. To solve this issue permanently, you must run a disciplined IDS session during your next Level 10 Meeting to isolate the root cause.

Start by looking at your Accountability Chart. Every automated workflow must have a single human seat that owns the outcome. AI cannot hold accountability: only people can. The seat holder responsible for inventory procurement must have the GWC to manage the AI tool. This means they get it, want it, and have the capacity to manage the inputs, parameters, and outputs.

During the Identify step, ask these three questions:

- Did the AI fail because it was fed bad or incomplete data by a human?

- Did the software experience an actual algorithmic or integration error that went unnoticed?

- Did the seat holder fail to monitor the AI outputs and ignore early warning signs?

Once you isolate the root cause, move to Solve. If the issue is technical, the seat holder must work with your integrator or developer to refine the AI parameters. If the issue is a lack of GWC, you must address whether the seat holder needs additional training or if they are simply in the wrong seat. By keeping the focus on human accountability rather than blaming the software, you protect your operational systems and ensure your team runs the business effectively.