Quick answer: Computer-Aided Audit Techniques (CAATs) test 100% of a company's financial transactions — not random samples — using statistical algorithms such as Benford's Law, duplicate-payment detection, gap analysis, and time-series anomaly testing. Abdelhamid & Co CPA LLC applies CAATs to detect fraud, manipulation, and control failures in UAE business records, producing evidence-grade findings documented to ISA 240, ISA 315/330, ISACA, and ACFE standards — defensible before the Federal Tax Authority and in legal proceedings. Abdelhamid & Co Certified Public Accountants & Auditors LLC — Ministry of Economy licence LC0106-01 | Licensed Auditor Registry No. 956 | Tax Agent TAN: 30003958 | Tax Agency TAAN: 20033908 | EAAA Fellow No. 124 | IASCA Fellow No. 1361 — deploys specialist CAATs platforms (ACL Analytics, IDEA, Python, SQL) to interrogate financial datasets with a rigour and speed that manual review cannot match. Visit the Federal Tax Authority for regulatory requirements applicable to your business. CAATs (Computer-Assisted Audit Techniques) are structured algorithmic methods that examine entire transaction populations rather than relying on random samples. Where a conventional audit reviews 5–10% of transactions, CAATs deliver 100% population coverage — uncovering anomalies, duplicate payments, sequential-number gaps, off-hours journal entries, and Benford's Law violations that sampling almost always misses. In the UAE regulatory environment — where Federal Decree-Law No. 47 of 2022 on Corporate Tax (Art. 54) requires 7-year retention of reliable accounting records, and Federal Decree-Law No. 28 of 2022 on Tax Procedures (Art. 25) authorises the Federal Tax Authority to conduct tax audits — demonstrating records integrity with digital evidence rather than management assurance has become a strategic compliance requirement. CAATs provide that digital evidence in a format that satisfies FTA examiners, audit committees, and courts. See our full Data Analytics services overview. We apply Benford's Law to test the leading-digit distribution across invoices, payments, expense claims, and journal entries. Statistically significant deviations from the expected distribution are a well-established indicator of number manipulation. Our report identifies high-risk transactions by population segment — vendor payments, employee expenses, revenue entries — with individual-transaction flags ranked by anomaly score and estimated financial exposure. Methodology is documented to ACFE and ISA 240 standards. We run specialist algorithms across the full payment population to detect: exact-amount duplicates to the same vendor, near-duplicate amounts within configurable tolerance bands, sequential invoice numbers suggesting fabricated invoices, payments to dormant or recently re-activated vendors, and split payments designed to fall below approval thresholds. The report quantifies recoverable amounts and classifies each finding by risk level and recommended action. We analyse all transactions between the entity and related parties to verify arm's-length pricing compliance under Federal Decree-Law No. 47 of 2022 on Corporate Tax and Ministerial Decision No. 221 of 2023 on Transfer Pricing. This includes identifying undisclosed related-party relationships, testing price consistency against market comparables, and producing documentation that supports the Local File and Master File required under MD 221/2023. Findings are formatted to assist transfer pricing dispute defence under Art. 43 of FDL 28/2022. We reconcile system-recorded inventory movements against warehouse documentation and purchasing records, identifying gaps and discrepancies that indicate internal theft, recording errors, or fictitious stock. Fixed-asset testing covers unauthorised disposals, purchases without approved procurement authority, and depreciation-schedule anomalies. Findings are cross-referenced to the general ledger to assess financial-statement impact. We examine full AP and AR ledgers using CAATs to detect stale balances, unexplained write-offs, suspense accounts used to park entries, and reclassifications that inflate reported profitability. AP analysis includes vendor-concentration testing and payment-timing patterns that may indicate collusion. AR analysis identifies round-number credits, unusual credit notes, and customer balances inconsistent with trading history. We analyse system access logs from accounting and ERP platforms to verify that user privileges comply with the Least Privilege principle, and to detect: entries posted outside business hours, transactions processed by users without matching approval rights, system-parameter changes that disable audit trails, and administrator overrides not subject to segregation of duties. This review conforms to ISACA CISA standards for IT controls audit and complements physical and financial controls testing. Certain situations move CAATs from good practice to an urgent legal and defensive requirement: Traditional internal audit reviews 5–10% of transactions through random sampling. CAATs test 100% of the transaction population using statistical algorithms — Benford's Law, gap detection, duplicate testing, and time-series analysis — eliminating sampling bias and producing findings documented to ISA 240, ISA 315/330, and ISACA standards. This makes CAATs results more defensible before the FTA and more reliable for audit committees and legal proceedings. CAATs are not explicitly mandated, but Article 54 of Federal Decree-Law No. 47 of 2022 requires reliable accounting records for 7 years, and Article 30 of Federal Decree-Law No. 28 of 2022 requires those records to be easily retrievable. CAATs provide the digital evidence of records completeness and integrity that FTA examiners look for during a tax audit — making them the practical standard for audit readiness. Learn about our Tax Compliance Review service. There is no practical upper limit. We work with businesses holding tens of thousands to millions of annual transactions. Our platforms (ACL Analytics, IDEA, Python with optimised database connections) process 500,000 transactions in under one hour during the core testing phase. Data volume is assessed during the initial scoping discussion. Typically: detailed transaction-level financial data (not summaries), general ledger entries, vendor and customer master files, inventory movement records where applicable, and approval/authorisation logs. Data is provided in CSV, Excel, or SQL format. A signed NDA and PDPL-compliant data-processing agreement are executed before any data is transferred. One to two weeks for a focused single-cycle engagement (one payment cycle or one fiscal year). Multi-cycle, multi-year, or multi-entity engagements take longer. We provide a precise timeline after an initial data-readiness assessment and test-plan agreement at no charge. Yes. Our reports are prepared with forensic-grade chain-of-custody documentation and methodology consistent with ACFE professional standards, making them suitable as supporting evidence in internal disciplinary proceedings, civil litigation, and criminal investigations under Federal Decree-Law No. 31 of 2021 (UAE Penal Code) and Federal Decree-Law No. 38 of 2022 on Criminal Procedures. See our Forensic Audit Report for Fraud and Commercial Disputes service. Any CAATs analysis touching employee or customer personal data must comply with Federal Decree-Law No. 45 of 2021 (PDPL) and Cabinet Decision No. 33 of 2023. We assess and document the lawful processing basis (legitimate interest or contract performance), apply data minimisation — limiting data access to what the test plan strictly requires — segregate personal identifiers from analytical outputs wherever possible, and delete source personal data from our systems at project completion under a documented deletion protocol. For a free initial consultation and data-readiness assessment, contact us today: Last updated: 28 April 2026 — Reflects Federal Decree-Law No. 47 of 2022 (Corporate Tax Art. 54), Federal Decree-Law No. 28 of 2022 (Tax Procedures Arts. 25, 30, 43, 72), Federal Decree-Law No. 20 of 2018 (AML/CFT), Federal Decree-Law No. 45 of 2021 (PDPL), Cabinet Decision No. 33 of 2023, Cabinet Decision No. 129 of 2025, Ministerial Decision No. 221 of 2023 (Transfer Pricing), ISA 240/315/330, ISACA CISA, and ACFE professional standards.Data Analytics Using CAATs for Fraud and Anomalies Detection UAE — Your First Line of Defence Against Financial Risk
What Are CAATs and Why Traditional Sampling Is No Longer Enough?
UAE Legal and International Professional Framework
Key Facts — CAATs Fraud and Anomaly Detection
Our CAATs Fraud and Anomaly Detection Services
1. Benford's Law Fraud Risk Analysis
2. Duplicate and Redundant Payment Analysis
3. Related-Party Transactions and Transfer Pricing Review
4. Inventory and Fixed-Asset Integrity Testing
5. Accounts Payable and Receivable Ageing Analysis
6. IT Access Rights and System Override Review
Our Seven-Step CAATs Engagement Methodology
When CAATs Fraud Detection Becomes a Legal Necessity
Why Choose Abdelhamid & Co for CAATs Fraud Detection?
Frequently Asked Questions — CAATs Fraud and Anomaly Detection UAE
What is the difference between CAATs and traditional internal audit?
Is CAATs analysis mandatory under UAE Corporate Tax Law?
What volume of data can CAATs handle?
What data do you need to conduct a CAATs analysis?
How long does a CAATs engagement take?
Can CAATs findings be used as evidence against fraudulent employees?
How does CAATs analysis comply with the UAE Personal Data Protection Law?
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Email: info@abdelhamidcpa.com