Automated Dispute Resolution System

This document provides a concise overview of how the Automated Dispute Resolution System processes and resolves property-related disputes through AI-driven insights. The system automatically generates tickets for incoming emails, classifies the type of dispute, and utilizes property data to provide resolution suggestions with associated confidence levels. Users can then intervene if necessary to make final decisions.

Step 1

Begin by logging into the system. For demonstration purposes, a dummy user is used in this example.

Step 2

Once logged in, you will be directed to the dashboard where all relevant information is displayed. The AI automatically creates a ticket for each dispute upon receiving an email and classifies the type of dispute, such as closeout or penalty. While generating the response, it considers billing details.

Step 3

The system also takes into account property ratings and billing history from the past 12 months. The AI then generates a ticket, as shown with ticket prop 003, automatically classifying it with all necessary details. The AI provides a suggestion with a confidence level, such as an 85% approval in this example.

Step 4

The system provides reasoning for its suggestions, indicating any legitimate issues, like plumbing and drainage, which support waiving penalties. It also explains the rationale behind any lack of confidence in its suggestion, covering the remaining 15% confidence level.

Step 5

Users have the option to manually intervene and make their own decisions. Currently, the system supports three levels of approval. The example shows a ticket assigned to the current user, John Doe, who can approve or reject the decision. In this case, the decision is rejected at level 1.

Step 6

After rejection at level 1, the ticket is assigned to Jane Smith for further evaluation. By accessing the tickets panel, you can see the rejection status at level 1. If Jane logs in, the ticket will enter the next level of approval.