AuditLens
RAALS AuditLens is an intelligent audit assistant designed to revolutionize how organizations perform audits, compliance reviews, and investigations.
Instead of relying on traditional sampling methods, AuditLens analyzes the entire dataset, applying advanced analytics, outlier detection, and machine learning models to uncover hidden anomalies that traditional audits often miss.
By automating time-consuming manual checks — such as recalculations, document matching, and consistency validation — AuditLens frees auditors to focus on investigating anomalies and interpreting insights, rather than routine verification.
It integrates AI and OCR technologies to read and verify invoices, contracts, receipts, and financial records automatically, ensuring accuracy, transparency, and compliance with international audit standards (ISA, GAAP, COSO, and CFE).
AuditLens features a guided workflow aligned with global best practices, providing structured, repeatable, and fully traceable audit procedures.
Its built-in knowledge base and exception analysis tools enable auditors to review flagged issues in context, prioritize high-risk transactions, and deliver more informed, data-driven decisions — in a fraction of the time.
With RAALS AuditLens, organizations can finally leave sampling behind and embrace continuous, automated auditing for unmatched efficiency, accuracy, and insight.
Key Features
Full-population analysis: Evaluates 100% of transactions using advanced analytics and ML models (Benford’s Law, outlier detection).
Automated document intelligence: Uses AI/OCR to interpret and validate financial and contractual documents automatically.
Guided audit workflow: Ensures consistent audit procedures aligned with global compliance standards.
Exception analysis: Automatically flags and prioritizes anomalies, enabling focused review and faster resolution.
Expert knowledge base: Integrates ISA, GAAP, COSO, and CFE standards to guide audit processes from start to finish.
Data ingestion & cleansing: Connects directly to existing data sources, preparing clean and structured datasets for testing.
Continuous auditing: Enables ongoing risk monitoring and reduces manual repetition across audit cycles.
Efficiency gains: Cuts audit time by up to 80%, reduces sampling risk, and improves overall audit quality.