AuditPulsar Raises Seed Round to Scale AI-Driven Anomaly Detection for Audit Firms
Funding will accelerate ERP integrations and expand the ML training dataset beyond current 14.7M journal entries.
Period-End Journal Entries Are Your Highest-Risk Population. Most Firms Don't Test Them That Way.
The data from 300+ audit engagements consistently shows the same pattern: most material misstatements originate in the last three business days of the period.
Benford's Law in Practice: What It Catches and Where It Fails
A common misconception: Benford's Law works on all financial populations. It doesn't. Here's the specific conditions where it's reliable and where substituting it for substantive testing is a mistake.
Getting Useful Audit Data Out of SAP S/4HANA Without a Basis Consultant
The BKPF and BSEG tables contain what you need. Accessing them via RFC/BAPI doesn't require SAP Basis involvement if you know the right connection parameters.
Manual JE Testing vs. Automated Screening: An Honest Trade-Off Analysis
Automated screening doesn't replace auditor judgment. It changes where that judgment is applied. The distinction matters for how you document the procedures you performed.
What AS 2201 Actually Requires for Journal Entry Testing Documentation
The PCAOB is specific about what constitutes sufficient documentation for IT-assisted JE testing. Here's the standard and what your workpapers need to include to satisfy it.
Management Override of Controls: Why Most Audit Programs Miss It Until It's Too Late
Management override is classified as a significant risk in every audit under AU-C Section 240. The detection approach most teams use is insufficient for how override actually manifests.
Oracle NetSuite Audit Data Extraction via SuiteQL: A Working Reference
SuiteQL is the fastest route to general ledger data in NetSuite environments. This is the query structure that returns journal entry populations auditors actually need.
Three Approaches to Subledger Reconciliation — and Why the Third One Is the Only One That Scales
Most practices reconcile AR subledgers the same way they did in 2005. The process hasn't kept up with the volume and complexity of modern client ERP environments.
The False Positive Problem in Audit Anomaly Detection
A detection system that flags everything protects no one. How we tuned AuditPulsar's scoring to reduce noise without reducing coverage — and what that trade-off actually looks like in practice.
What SOC 2 Type II Actually Means for Your Client Data Obligations
A SOC 2 report is not a guarantee. It's an audit of controls over a defined period. Here's what questions accounting firms should ask before using any cloud-based audit tool with client financial data.
How to Evaluate an AI Audit Tool Without Getting Misled by the Demo
The demo always looks clean. The questions that reveal actual product quality are the ones vendors don't volunteer answers to. A practical evaluation framework for CPA firm partners.