Problem
Month-end reconciliation delays
Month-end takes longer than it should. Bank, supplier, invoice and system records do not match, and finance spends days chasing variances instead of explaining them.
What this problem looks like
Manual matching of large volumes of small transactions.
Exceptions chased by email and spreadsheet.
Last-minute adjustments that no one wants to own.
Why it costs time and control
Slow reconciliation delays reporting, hides operational issues and burns finance time on work that is mostly pattern-matching.
Where the workflow usually breaks
- Source data arrives in different formats and on different cycles.
- Match rules are not documented.
- Exception queue has no clear owner.
How AI can help without over-automating
AI is well-suited to matching, classifying exceptions and drafting explanations. Finance still signs off on the numbers and owns the final view. The aim is to shrink the exception queue, not to replace the controller.
Systems usually involved
- ERP / finance
- Bank feeds
- AP / AR tools
- Spreadsheets
- Document stores
What value looks like
Shorter month-end, smaller exception queues, fewer chase emails and finance time freed for analysis rather than matching.
Where this connects