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How are teams reducing errors in general ledger reconciliation using AI?

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We used to spend hours checking the general ledger for mismatches and late postings. Even small inconsistencies could take a long time to track down, especially when multiple systems and manual adjustments were involved.

Lately, I’ve noticed more teams using specialised reconciliation software with pattern detection and automated matching to remove a lot of this friction. Tools in the same category as Collatio Accounts Reconciliation software, for instance, can automatically reconcile a large portion of entries and surface only the exceptions that need review.

Curious to hear from finance leaders and controllers here:
  • How much of your reconciliation process is automated today?

  • Do exceptions get resolved faster with automation in place?

  • Have you seen a meaningful drop in reconciliation errors since adopting these tools?
 
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