Tax review scenarios

Users often rely on the AI agent to clarify unexpected or complex tax outcomes. The following scenarios illustrate common situations where users seek additional explanation and how the AI agent supports investigation and review.

Scenario 1: Why was this taxed so much?

When a transaction shows a higher-than-expected tax amount, the AI agent explains the jurisdiction breakdown and identifies how multiple tax layers contributed to the total.

For example, the AI agent may show that state, county, city, and special district taxes applied simultaneously and clarify how each jurisdiction’s rate contributed to the final amount. This breakdown enables users to understand how the combined rates produced the total tax.

Scenario 2: Why was this customer not taxed?

When a transaction shows zero tax, the AI agent explains the reason for the exemption.

For example, the AI agent may identify that the customer has a valid resale certificate on file, reference the certificate number and expiration date, and confirm that all line items qualified for exemption.

Scenario 3: Why is this transaction different from a similar one?

When users compare transactions with different tax outcomes, the AI agent analyzes the relevant factors that affected the calculation.

For example, the AI agent may highlight differences such as:

Different ship-to addresses resulting in different jurisdictions
Rate changes between time periods
Changes in customer exemption status

By identifying the underlying factors, the AI agent helps users understand why 2 similar transactions resulted in different tax amounts.