A manufacturing company deploys an agentic AI system that autonomously places orders with suppliers when inventory levels fall below a threshold. The system placed $2.3 million in orders incorrectly due to a sensor data error. Which control would MOST effectively prevent this type of incident?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — you need a human approval gate for high-value purchase orders because it stops consequential action before it happens, whether the error came from the model or bad data. That's the direct control for autonomous spending without oversight.
Full Explanation
A human-in-the-loop approval gate for purchase orders above a defined financial threshold is correct because it is a direct risk control that catches both model errors and data errors before consequential action is taken. It addresses the core governance risk of autonomous action without human oversight. The option that improves the accuracy of the underlying inventory sensors reduces one input risk but does not prevent similar errors from other causes. The option that trains the model on more examples of sensor anomalies to improve anomaly detection is a mitigation but not a sufficient control for high-value autonomous action. The option that switches from an agentic system to a rule-based system for inventory management may introduce other risks and is not the most proportionate response.