AuditPulsar scans every journal entry in your client's general ledger, identifies irregular postings, and surfaces discrepancies your team would otherwise find 40 hours in.
Every feature was tested against real client ledgers before it shipped.
Automatically reviews every debit-credit pair against client-specific thresholds. Flags round-number postings, after-hours entries, and entries that bypass the normal approval chain.
Traces trial balance discrepancies to their source account in seconds. Cross-references subledger totals with general ledger aggregates across GAAP and IFRS reporting frameworks.
Each flagged transaction receives a risk score (0–100) based on statistical deviation, account history, and peer-group benchmarks. Reviewers triage by score, not intuition.
Direct connectors for SAP S/4HANA, Oracle NetSuite, and QuickBooks Enterprise. CSV and Excel import supported for any other system. No manual data transformation required.
Exports workpapers in PCAOB-compatible format. Each anomaly finding includes the account code, transaction date, preparer ID, and supporting evidence trail.
Every action — scan initiation, finding acknowledgment, workpaper sign-off — is logged with timestamp and user identity. Meets requirements for AS 2201 internal controls review.
Three steps. No consulting engagement required to get started.
Authenticate against the client's ERP via OAuth 2.0 or upload a trial balance export. AuditPulsar ingests general ledger data in SAP BAPI, Oracle REST, or flat-file CSV format.
The detection engine applies statistical sampling, Benford's Law analysis, and supervised ML models trained on 14.7M historical journal entries. Scan completes in under 90 seconds for most engagements.
Auditors work through a prioritized findings queue. Each item links back to source transactions. Export to PDF workpaper or directly to your document management system.
The product page covers the ML architecture, supported ERP integrations, and how risk scores are calculated.
Explore the Platform"We started using AuditPulsar on a manufacturing client with 120,000 journal entries per quarter. The platform surfaced 14 high-risk items in the first scan — three of which became reportable findings. We cut field time by 31%."
"Our staff no longer exports the trial balance to Excel and runs manual pivot tables. The SAP connector pulls data directly, and the ledger reconciliation report is something we can hand to the client on day one."
"We piloted on two engagements before committing. The anomaly scores tracked well against our senior reviewers' judgment. The PCAOB workpaper export alone justified the subscription."