Scan Transactions for Compliance Gaps

Continuous Audit Intelligence Platform Policy Digitization AI converts your prose-format audit policies into machine-executable rules. 'Travel expenses exceeding $500 require VP approval' becomes a testable assertion applied to every transaction, not a guideline humans sometimes remember. 100% Transaction Testing Unlike traditional sampling (5-10%), AI tests every single transaction against every applicable rule. Tests include: duplicate detection (same vendor + amount + date ± 3 days), split-invoice detection (multiple invoices just below delegation of

authority thresholds), weekend/holiday submissions, and mismatched GL codes. Benford's Law Analysis AI applies Benford's Law to the first-digit distribution of transaction amounts. Deviations from the expected distribution indicate potential fabrication or manipulation. This is how forensic accountants detect fraud in large datasets. Anomaly Scoring & Triage Each flagged transaction receives an anomaly score based on: severity of rule violation, dollar amount, historical pattern (first offense vs. repeat), and employee risk profile. Auditors focus on

High-Score items first, maximizing detection per audit hour. Audit Trail & Reporting AI generates SOX-compliant audit workpapers: test performed, population tested, exceptions identified, management response, and remediation status. Board-ready audit committee reports are auto-generated quarterly. Implement continuous monitoring, not periodic auditing — AI should run transaction tests daily and deliver a 'Daily Exception Dashboard' to the audit team. Calibrate anomaly thresholds quarterly — what's 'normal' shifts over time. AI should auto-adjust

baselines using rolling 12-month data. Track 'Exception Closure Rate' — if flagged items aren't being investigated and resolved, the continuous audit program becomes shelf-ware. Don't rely on manual sampling when you can test 100% — a 5% sample means 95% of fraudulent transactions go undetected by design. Don't audit only retrospectively — real-time pre-payment controls prevent losses before they occur, which is 10x more valuable than detecting them after payment. Don't treat all exceptions equally — a $50 policy violation doesn't warrant the same

investigation as a $50,000 duplicate payment. The 'Three Lines of Defense' Integration Map AI audit tests to the Three Lines of Defense model: First Line (operational controls — tested by management), Second Line (compliance and risk — tested by risk teams), and Third Line (independent assurance — tested by internal audit). AI can run all three levels simultaneously, showing each stakeholder only their relevant findings.