Prompt

Can you recommend a substantive testing tool for analyzing journal entries in public company audits?

Latest observation

Jul 24, 2026 · OpenAI APIWeb search: off

Yes — a strong option is IDEA (CaseWare IDEA) or ACL Analytics / Diligent HighBond, both of which are widely used for journal entry testing in public company audits.

If you want a single recommendation, I’d suggest:

Diligent HighBond (formerly ACL)

Why it’s a good fit

  • Built for audit analytics and substantive testing
  • Handles full-population journal entry analysis
  • Good at identifying:
    • unusual postings
    • manual journal entries
    • entries posted outside normal hours
    • round-dollar amounts
    • unusual combinations of accounts, users, and dates
  • Useful for SOX / PCAOB-style testing
  • Supports repeatable scripts and workflows, which helps with documentation and consistency

Typical journal entry tests it supports

  • Entries posted by unauthorized users
  • Entries made at period-end or post-close
  • Manual vs. automated journal entries
  • Fuzzy / duplicate analysis
  • Benford’s Law and outlier analysis
  • Stratification by amount, account, or preparer

Other solid alternatives

CaseWare IDEA

  • Very popular in audit practices
  • Easy to use for data import and journal entry filters
  • Good for auditors who want a more intuitive interface

TeamMate Analytics

  • Strong in audit environments
  • Integrates well with internal audit and external audit workflows

Python + SQL + Power BI

  • Best if your team has strong technical capability
  • Highly flexible and scalable
  • Less turnkey for audit documentation unless you build a solid workflow

Practical recommendation

If you’re in a traditional audit firm environment, I’d choose:

  • IDEA if you want ease of use and quick adoption
  • HighBond/ACL if you want more robust audit analytics and repeatable testing

If you want, I can also give you:

  1. a comparison table of IDEA vs HighBond vs TeamMate, or
  2. a sample journal entry test plan for public company audits.

Observation history

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