Journal Entry Intelligence

This webinar transforms journal entry testing into a focused analytical exercise using Excel models and structured risk filters. Participants will learn how to screen general ledger extracts for manual postings, late adjustments, round-amount entries, unusual reversals, dormant account activity, privileged-user postings, and end-period overrides. The session demonstrates how to convert large ledger populations into ranked investigation queues, separate routine activity from high-risk behaviour, and link journal anomalies to control failures, fraud scenarios, and audit evidence requirements.