How do you set up approvals when an AI agent needs to classify customer emails?

Question

Accepted Answer

Setting up approvals for AI email classification requires a robust human-in-the-loop system to ensure accuracy and compliance. Initially, the AI agent classifies customer emails, assigning a category and a confidence score. An approval workflow is triggered when the AI's confidence score falls below a predefined threshold, for certain sensitive categories, or for new, unclassified email types. These flagged emails are then routed to a dedicated team of human agents for review, allowing them to either approve the AI's classification or override it with the correct one. This human intervention not only ensures correct classification but also provides valuable feedback for retraining and improving the AI model over time. Implementing clear escalation paths and maintaining a comprehensive audit trail of all human decisions are crucial for accountability and continuous optimization.