Artificial intelligence is changing how information is gathered, checked and explained. For UAE businesses, its most useful contribution to tax work is likely to be faster preparation and earlier identification of issues. The quality of the result will still depend on reliable records, the correct law and professional judgment.

The practical question is how to combine useful automation with an accountable tax service that explains its conclusions.

What is already happening?

AI is already being used by tax administrations internationally. The OECD’s 2025 report identifies applications in detecting fraud and evasion, supporting decisions and improving taxpayer services. It also stresses privacy, security and taxpayer rights. This is evidence of an international trend; it does not establish that a particular tool is used by the UAE Federal Tax Authority. OECD: AI in tax administration.

For a business or adviser, suitable tasks to test include extracting invoice information, identifying possible duplicate entries, comparing ledger balances and drafting explanations from an approved set of documents. These are proposed uses, rather than a claim that every available product can perform them reliably. Each needs testing against known results before it becomes part of a tax process.

An unusual transaction is a reason to investigate. A software flag is not proof of a tax error.

Why better data comes first

The UAE’s e-invoicing programme provides a useful example of the move toward structured information. The Ministry of Finance defines an e-invoice as structured data issued and exchanged electronically and reported electronically to the FTA. A PDF or scanned image alone does not meet that definition. Ministry of Finance: UAE eInvoicing.

Structured records can make analysis easier, but a correctly formatted invoice can still contain an incorrect tax classification. Businesses should first review customer and supplier details, transaction descriptions, tax codes, credit notes and the connection between invoices and accounting entries.

Adding AI to inconsistent records may produce a faster report with the same underlying mistakes. A useful starting point is to correct the records, define the checks and identify who must resolve exceptions.

Where professional judgment remains essential

Tax treatment depends on facts that may be missing from a spreadsheet: the purpose of an expense, the contract terms, the parties’ relationship or evidence supporting a claimed treatment. The adviser must connect those facts to the applicable legislation and current guidance.

Generative AI can present incorrect information confidently, including invented reasoning or citations. NIST identifies this risk in its Generative AI Profile. NIST: Generative Artificial Intelligence Profile.

A sensible review process therefore asks three questions: Which source supports the conclusion? Does it apply to this taxpayer and period? Do the supporting documents establish the required facts? The final explanation should show the reasoning and any information still missing.

AI-generated research should be checked against official sources before anyone relies on it for a filing or a business decision.

Confidential information needs deliberate controls

Tax work can contain identity information, payroll details, bank records and commercially sensitive agreements. The UAE Government’s summary of the federal Personal Data Protection Law describes obligations relating to processing, confidentiality and cross-border transfers. Businesses must determine which data protection regime applies to their circumstances. UAE Government: Data protection laws.

Before using client records in an AI system, review access rights, retention, hosting, transfer arrangements and whether the provider may use submitted data for model training. Obtain appropriate permissions and use only the data required for the task. A public chatbot should not become the default destination for confidential taxpayer documents.

What the next stage may look like

The following is a forecast, rather than a statement of a new legal requirement: tax services may increasingly move toward regular checks throughout the year, with advisers spending more time on exceptions, business changes and explanations that require judgment.

That could mean reviewing unusual entries before a return is prepared, maintaining a documented record of tax decisions and updating an action list when guidance changes. The value would be earlier attention to issues, provided the checks are accurate and someone is responsible for following them up.

For businesses choosing a tax service, useful questions include who reviews the output, how conclusions are supported, how data is protected and what happens when the system is wrong. A credible service should explain those controls as clearly as it explains its technology.

The future of tax services is likely to reward advisers who combine sound accounting, current tax knowledge and well-controlled technology. AI can support that work. The service must still deliver an explanation the business can understand, evidence it can retain and decisions someone is accountable for reviewing.

For accounting and tax enquiries, email ah@pls-uae.com.