Full-population testing
Analyze 100% of transactions and journal entries — not a sample. Every line item is tested against expected patterns and controls.
DeepAuditing reads your general ledger, tests the full population of transactions, and surfaces anomalies and risk on every line item — so your team spends time on judgment, not manual sampling.
Built for external auditors, internal audit teams, and finance controllers.
DeepAuditing turns raw financial data into prioritized, evidence-backed findings — from ingestion to working paper.
Analyze 100% of transactions and journal entries — not a sample. Every line item is tested against expected patterns and controls.
Machine-learning models flag irregular postings, unusual timing, duplicate payments, and outliers that rule-based checks miss.
Accounts and transactions are automatically ranked by materiality and risk, so your team reviews what matters first.
Match sub-ledgers to the general ledger, bank statements, and source documents in seconds instead of days.
Findings are mapped to IFRS / US GAAP and audit assertions, generating a defensible, review-ready working paper trail.
Every flag comes with the evidence, the driver, and a full audit trail — no black boxes, so conclusions stand up to review.
Securely ingest the trial balance, general ledger, sub-ledgers, and source documents — from a file upload or a direct connection to your ERP.
DeepAuditing tests the full population, reconciles balances, scores risk, and detects anomalies against learned and rule-based expectations.
Auditors work a ranked queue of findings — each with evidence, drivers, and a standards mapping — and export review-ready working papers.
Audit data is among the most sensitive there is. DeepAuditing is built so you can adopt AI without compromising confidentiality, independence, or the integrity of your evidence.
Data is encrypted in transit and at rest. Access is role-based and fully logged.
We never train shared models on your client data. Each engagement is isolated.
Every automated decision is recorded with its inputs — reproducible and reviewable.
Choose where your data is processed and stored to meet regulatory requirements.
See DeepAuditing run against a sample ledger and get a walkthrough tailored to your engagements.
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