Can AI autonomously audit and file tax returns for 10 million small businesses without human intervention by integrating with accounting databases and tax codes ?

AI systems are increasingly handling complex numerical tasks, but tax compliance requires legal nuance and accountability. As regulations digitize and audits become algorithmic, the final step might be full automation.

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Today’s AI can ingest unstructured accounting data, interpret jurisdiction-specific tax rules, and generate draft returns, but fully autonomous filing for 10 million small businesses remains infeasible. Leading tax engines combine natural-language processing to extract transactions and deep-learning models to classify expenses and deductions, yet they still depend on human review for accuracy, error handling, and compliance with ever-changing statutes. Large-scale real-time integration with diverse accounting databases is technically possible, but robust audit trails, responsibility allocation, and regulator-approved e-signature workflows are not yet standardized. Consequently, most providers offer “co-pilot” automation rather than hands-off autonomy.

— Enriched May 10, 2026 · Source: OECD — https://www.oecd.org/tax/automation/tax-compliance-3-0.pdf