Bank Reconciliation Automation
Auto-match bank, card and gateway transactions with ledgers.
The problem
Daily bank reconciliation is repetitive and delays cash visibility.
How it works
- Import statements and gateway reports
- Auto-match by amount, date and reference
- AI proposals for unmatched items
- Exception reports
What you gain
- Faster reconciliation
- Cash visibility
- Fewer unreconciled items
Technology
- Statement parsers
- Matching engine
- API integrations
Controls and security
Human-in-the-loop review, audit trails, role-based access and confidentiality agreements are standard. AI output is verified before it affects tax or accounting records. Accuracy is validated on your own documents during a pilot.
GstMan × Apskaita × Awi Digital
GstMan brings tax and accounting depth, Apskaita Solutions brings global accounting operations, and Awi Digital builds the software.
Frequently asked questions
How long does it take to start bank reconciliation automation?
After a short scoping call we agree a pilot on a sample of your data. Timelines depend on integrations and volume.
Is my financial data safe?
We use access controls, encryption in transit, NDAs and audit logs, and can work within your cloud or accounting tools.
Can this connect to my accounting software?
Yes: Tally, Zoho Books, QuickBooks, Xero and custom systems via APIs or exports.
Related guides
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GSTR-2B Reconciliation Automation With AI: How It Works
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AI in Accounting: What You Can Automate in Bookkeeping Today
Practical uses of AI in accounting: invoice capture, categorisation, reconciliation and anomaly detection. Plus limits and controls.