Inputs needed
Reconciliation starts with bank statement data and supporting business documents. The cleaner the inputs, the easier the matching.
- Bank statements
- Sales invoices
- Purchase bills
- Receipts and payment records
Reconciliation Guide
How automated bank reconciliation works
Automated bank reconciliation compares bank transactions with invoices, bills, and accounting records to identify likely matches and exceptions.
Matching logic
Automation looks for signals such as party names, dates, amounts, payment narration, and invoice history, then presents likely matches for review.
- Exact amount matches
- Date proximity
- Party search
- Split and merged payment review
Key Capabilities
What this means in practice
Match
Connect bank entries to invoices and bills.
Review
Check exceptions and unusual transactions.
Report
Use reconciled records for monthly reports.
Reconciliation steps
| Step | Manual approach | Automated approach |
|---|---|---|
| Import | Download and combine files | Upload into workflow |
| Match | Search rows manually | Review suggested matches |
| Exception | Maintain trackers | Focus on unmatched records |
| Close | Update reports after cleanup | Use processed data |
FAQ
Common questions
Is automated reconciliation accurate enough?
Automation can reduce manual effort, but finance teams should still review exceptions and final accounting treatment.
What causes unmatched transactions?
Different party names, partial payments, bank charges, refunds, timing differences, and missing invoices can create unmatched entries.
Can Flick AI help with bank reconciliation?
Yes. Flick AI supports invoice and bank transaction matching as part of the monthly accounting workflow.
Try Flick AI
Test AI accounting on your own monthly workflow
Start with a 14-day free trial or book a demo to see how Flick AI handles invoice parsing, reconciliation, GST/TDS support, and reports for Indian businesses.