Tax transparency overview

This guide describes how an AI agent could provide AI-powered explanations for tax calculations directly within ERP transaction pages, helping users understand how tax was determined and applied.

Currently, AvaTax surfaces the inputs used in tax calculation and the calculated results. The Tax transparency use case illustrates how those calculation details could be translated into contextual, plain-language explanations without modifying the underlying calculation engine.

The Tax transparency use case illustrates how users could review detailed, contextual explanations for calculated tax amounts in real time. The AI agent would analyze ERP transaction data together with AvaTax calculation logic to generate clear, plain-language explanations.

What tax transparency with an AI agent does

On any supported transaction, including invoices, sales orders, and estimates, the AI agent could provide contextual tax explanations through an embedded AI assistant.

In this use case, the AI agent could:

Explain total tax amounts and taxable and nontaxable portions
Break down tax by jurisdiction, including state, county, city, and special districts
Clarify sourcing methodology and applied tax rates
Explain exemption handling and certificate usage
Reference nexus status affecting tax calculation
Identify special scenarios such as caps or reduced rates

Users could request explanations on demand or receive proactive insights when relevant conditions are detected.

The AI agent provides explanations only within this use case. It only modifies tax calculations when users explicitly initiate supported workflows.

Benefits of tax transparency with an AI agent

Tax transparency with an AI agent is intended to support the following outcomes:

Reduce confusion by explaining why specific tax amounts apply and providing jurisdiction-level detail for each transaction
Reduce support demand by enabling self-service explanations instead of escalation to accounting or tax teams
Increase compliance confidence by clarifying how jurisdiction rules, nexus status, and exemptions affect each calculation
Support proactive risk awareness by highlighting certificate expirations and time-sensitive tax scenarios

Assumptions and scope

Tax transparency with an AI agent operates under the following assumptions:

The AI agent appears on ERP transaction pages where embedding is technically supported.
The AI assistant is screen-context aware and has access to full transaction context, including customer, items, locations, and subsidiary information.
The AI agent retrieves Avalara Calculation engine data for both historical and current transactions.
The AI agent has access to the relevant AvaTax account configuration through the MCP integration layer.
Proactive insights are surfaced automatically when a transaction page loads.
Users can interact conversationally with the AI agent to ask follow-up questions or request deeper explanations.

This use case applies to transaction-level tax explanation and insight generation and doesn’t alter calculation logic.

Important

The workflows and scenarios described in this document represent forward-looking, agentic AI use cases. They illustrate how AI-driven tax transparency experiences could operate using Avalara integrations and APIs.

These examples are conceptual and demonstrate potential capabilities. They don’t represent fully deployed agents or product functionality unless explicitly stated. Implementation details, behavior, and availability change over time. Review the AI-generated analysis and recommendations before acting. The results depend on the system configuration, integration behavior, and data quality.