Prompt

Can you recommend a journal entry testing tool for identifying unusual entries in a public company audit?

Latest observation

Jul 30, 2026 · OpenAI APIWeb search: off

Yes — for a public company audit, you’ll usually want a journal entry testing / continuous auditing analytics tool that can flag unusual postings, override behavior, round-dollar entries, late-night entries, manual top-side adjustments, and entries near period-end.

Good options to consider

  1. CaseWare IDEA / CaseWare Analytics

    • Strong for journal entry analysis and exception testing
    • Common in audit teams
    • Good for extracting, filtering, and identifying suspicious patterns
  2. ACL Analytics (Galvanize / Diligent)

    • A long-standing audit analytics tool
    • Useful for journal entry testing, fraud detection, and large-data analysis
    • Flexible scripting and repeatable tests
  3. MindBridge Ai Auditor

    • Designed specifically for journal entry risk scoring and anomaly detection
    • Uses AI/ML to prioritize unusual entries
    • Often attractive for identifying high-risk manual entries in PCAOB-style audits
  4. TeamMate Analytics

    • Integrated with audit workflows
    • Helpful if your firm already uses Wolters Kluwer products
    • Good for journal entry and ledger testing
  5. SAP/Oracle/ERP-native analytics + Power BI / SQL

    • Best if the client’s environment is highly customized
    • Can be very effective, but usually requires more setup and audit data expertise

If your goal is “best at finding unusual entries”

  • MindBridge Ai Auditor is often the most directly purpose-built for anomaly detection.
  • ACL Analytics or IDEA are excellent if you want a more traditional, highly controllable audit analytics workflow.

What to look for in the tool

Make sure it can:

  • Import full general ledger detail and journal entry data
  • Identify manual vs. automated entries
  • Flag posted late at night / weekends / holidays
  • Detect round-dollar, duplicate, or split entries
  • Highlight period-end and post-close entries
  • Analyze user access / approver / preparer patterns
  • Support repeatable audit workpapers and documentation

Practical recommendation

If you’re choosing one tool for a public company audit team:

  • MindBridge for anomaly detection and prioritization
  • IDEA or ACL Analytics for broad, defensible audit testing and custom analyses

If you want, I can also give you a comparison table of these tools specifically for PCAOB/public company audit journal entry testing.

Observation history

Unlock observation history

Create a free Obsurfable account to unlock historical responses, model comparisons, and deeper brand intelligence.

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.