Tax solutions provider Avalara announced that its Avi AI, first launched as a chatbot, is now an AI agent that will orchestrate an entirely new network of other AI agents that are being touted as, effectively, an agentic AI workforce for tax and compliance.
Avalara’s Agentic Tax and Compliance platform has AI handle every core compliance function, from tax determination and filing to exemption certificate validation, registration, property tax, reporting, and research, each with built-in checkpoints for human review. When a user assigns a task, Avi breaks it into steps, delegates to specialized AI agents, and coordinates their actions, providing complete visibility throughout the process. For example, when a user asks Avi to prepare a tax return filing, Avi retrieves and validates data, applies local rules, generates the returns, and submits it for approval, filing only when the user says so.
Beyond tax filings, the agents can also scan new customer uploaded exemption certificates, cross-verify data with authoritative registries, and update records; classify products to Harmonized System (HS) or tariff codes, determine duties, and check against trade restriction lists; prepare registration documents, file with local authorities, and receive and store business and license registrations; acquire fixed asset data, classify it for location and tax depreciation, and prepare and file personal property tax returns; continuously generate reconciled, auditor-ready reports, and provide AI-powered deep insights, linking every number to its source transaction; scan and summarize primary tax sources – laws, rates, rules, and regulatory updates – surfacing Avalara’s tax and compliance content with verifiable citations; connect directly to government-certified e-invoicing endpoints and ensure every invoice is validated, compliant, and audit-ready before it’s sent; and, finally, automate how companies handle tax authority notices, and use AI to classify, route, and track notices to resolution.
Scott McFarlane, chief executive officer of Avalara Inc., center, points to a monitor during the company’s initial public offering (IPO) on the floor of the New York Stock Exchange (NYSE) in New York, U.S., on Friday, June 15, 2018. U.S. stocks fell and bonds surged as President Donald Trump moved the country closer to a trade war with China, while investors weighed diverging monetary policies from the Federal Reserve and European Central Bank. Photographer: Michael Nagle/Bloomberg
Michael Nagle/Bloomberg
If a user wants additional capacities, the platform also allows any third-party AI agent that supports the Google A2A protocol to securely collaborate with Avalara’s AI agents, which the company calls “Have Your Agent Call Our Agent.” This is enabled through Avalara’s previously-announced MCP servers, which allow AI agents from different platforms to interact with each other.
People can access the platform from a variety of points. They can use the Avi Browser Agent which automates ERP configuration and setup with Avalara, and assigns tasks to Avi; Avi for Microsoft Outlook, which digitizes inbound invoices and applies tax rules in real time; Avi for NetSuite, which boasts one-click configuration and setup, and assignment of tasks to Avi; or Avi for Gemini Enterprise, which leverages the A2A technology to interact with Avalara’s network of agents. Developers can also integrate directly via Avalara’s MCP servers, available at developer.avalara.com.
“Avalara’s increasing agentic capabilities bring intelligence and autonomy to the next level, without compromising control or security,” said Scott McFarlane, CEO and co-founder of Avalara. “Our customers have trusted us to protect their data and compliance processes for decades, and Avalara’s new AI agents operate within that same secure and auditable Framework.”
Global rollout begins Q4 2025. Early access programs are live with select enterprise partners.
Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.
Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.
In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.
Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.
Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.
Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.
Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.
Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.
The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.
In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.
AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.
When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.
Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.
This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.
Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.
Corporate tax accounting departments are navigating an era of unprecedented regulatory complexity as global tax harmonization frameworks take full effect alongside real-time digital tax reporting mandates. Tax directors and accounting teams are adopting cloud-based tax compliance automation tools to manage multi-jurisdictional tax liabilities and satisfy stringent reporting rules across international jurisdictions.
Implementation of Global Minimum Tax Provisions
The implementation of international tax reform agreements—notably the Pillar Two global minimum tax framework—has reshaped multinational corporate tax planning. Multinational enterprises with consolidated revenues exceeding established thresholds must ensure an effective tax rate of at least 15% across every jurisdiction in which they operate.
Accounting teams are implementing specialized tax calculation modules integrated directly into enterprise resource planning (ERP) platforms. These automated tools calculate effective tax rates per country, identify top-up tax liabilities, and generate standardized compliance documentation required by national tax authorities.
Real-Time Digital Invoicing and E-Reporting Mandates
Tax authorities across Europe, Latin America, and Asia-Pacific have enacted mandatory electronic invoicing (e-invoicing) and continuous transaction controls (CTC). Under these systems, corporate transaction data must be submitted electronically to government portals in real time at the point of sale or invoice issuance.
This shift toward continuous digital tax reporting eliminates traditional annual tax audits in favor of ongoing automated compliance monitoring. Accounting departments are upgrading invoicing software to ensure seamless XML data formatting, digital signature authentication, and real-time validation against tax authority databases.
Automation and Data Analytics in Corporate Tax Strategy
To keep pace with dynamic tax legislation, tax departments are transitioning from reactive compliance teams to proactive strategic advisors. Machine learning algorithms analyze corporate transactional data to identify tax credits, research and development (R&D) incentives, and cross-border transfer pricing adjustments.
By automating routine tax return filings and calculations, corporate tax directors can focus on long-term capital structuring, evaluating the tax implications of corporate mergers, and optimizing international supply chain networks.
Strategic Priorities for Tax Executives
1. ERP System Upgrades: Ensure enterprise software is capable of generating real-time, granular tax data required for global minimum tax compliance.
2. E-Invoicing Integration: Implement scalable e-invoicing platforms to satisfy regional continuous transaction control regulations.
3. Strategic Tax Analytics: Utilize predictive tax modeling tools to evaluate structural changes in corporate operations and cross-border trade.