AI Decision Table Example: Bank Loan Approval

Decision tables are an excellent tool for streamlining complex logic, and they’re simple to create. This guide outlines three easy steps to build one for any business process, using a Loan Approval Process for a Bank as an example. This ensures clear, consistent, and logical decisions every time.

Step 1. Define Your Scenario

First, you’ll describe your business process or scenario. For example, you can fill in loan approval process for a bank. Click Generate Factors & Actions to proceed.

Step 2. Configure Factors & Actions

The AI analyzes your description and proposes critical Factors and Actions. Factors are the conditions driving the decision, such as credit score or income level, while Actions are the outcomes, like approve loan or reject a loan. The AI highlights additional factors or actions you might overlook. You can add, modify, or delete these to fit your requirements.

Step 3. Generate and Export

Finally, generate the decision table. This creates a matrix of rules where each rule maps a specific set of factors to its resulting action. You can then export the table in multiple formats, including CSV, Markdown, and JSON.