AI use cases/Finance/Automated bank reconciliation
Finance

Automated bank reconciliation

-75% reconciliation time

Reconciling bank statements with accounting entries takes several hours per account each month, and more again at high volumes. AICPA estimates put the error rate of manual processing at between 1 and 8% of transactions, and unresolved differences delay the close.

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The automated workflow

A structured process for fast, reliable results.

01

Importing the flows

Bank statements and accounting entries are retrieved automatically from your systems.

02

Automatic matching

Transactions are matched on amount, date, description and reference, with tolerance rules for differences.

03

Anomaly detection

Unmatched transactions, potential duplicates and differences to explain are flagged.

04

Approval and close

Reconciliations are approved, the matching journal is generated and documentation is prepared for audit.

Tangible results

-75%
Reconciliation time
90 to 95%
Automatic matching
< 0.5%
Error rate (vs 1 to 8% manually)

Up and running in 4 to 6 weeks

From specification to deployment, with visible results from the first few weeks.

Rapid scoping (1 week)
Working prototype at the halfway point
Deployment and training included

Frequently asked questions: Automated bank reconciliation

Yes, through secure protocols (EBICS, banking APIs) or by importing standard files. Most French and European banks are supported.

One-to-many cases (one bank debit matching several entries) and differences in date or description are handled by tolerance rules that you configure.

Yes, the tool supports multiple banks, accounts and currencies, with automatic conversion at the applicable rates.

Each reconciliation keeps the rules applied, the approvals given and its full history. Auditors get a detailed, reproducible log.

Ready to automate this workflow?

A free first call to assess the feasibility and ROI of this use case in your context.

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