Bank Reconciliation

Q: Do we need to change our accounting software to use this automation?

No. The automation works with QuickBooks Online, Xero, and other mainstream accounting platforms.

Q: How does the automation handle duplicate transactions or reversed entries?

The matching algorithm detects common patterns like duplicate amounts on the same date or reversed debit/credit entries, and flags them separately for review rather than marking them as matches.

Q: Will the automation catch all reconciliation errors?

Automation catches the majority of timing differences and duplicates, but complex or unusual discrepancies still require human judgment. Your team focuses on these exceptions rather than routine matching.

Q: How quickly can we close the books after reconciliation?

Most reconciliations complete within hours instead of days, since matching and variance investigation happen automatically. Your team reviews the final report and approves, enabling same-day close.

Automated bank reconciliation closes the books faster and catches mismatches before they become a problem.

208 hrs

Manual time identified

Companies have mapped

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About This Automation

Bank reconciliation ensures that a company's accounting records match its bank statements each month. Manual reconciliation is tedious and error-prone, requiring hours of clicking through transactions and hunting for discrepancies.

Automation matches bank transactions to ledger entries instantly, flags unmatched items for review, and investigates common causes of variances. The result is faster month-end close and fewer errors.

Key features:

Match bank transactions to ledger entries automatically using fuzzy matching on amount, date, and description

Flag exact matches, partial matches, and unmatched items for human review in a single dashboard

Analyze unmatched transactions to identify timing differences, duplicates, and missing invoices

Generate variance reports with suggested corrections and investigation notes

Reduce manual clicking and email searches by routing all discrepancies to a central review queue

Data insights How it works Apps used What you get FAQ

Top friction points when done manually

The issues teams report most often with this process

#	Friction point	Companies Report This
1	Manual transaction matching Bookkeeper must click through each transaction individually to mark matches, consuming 120 minutes per month.	80%
2	Unmatched item investigation Searching email, invoices, and bank records to find the source of discrepancies is time-consuming and error-prone.	67%
3	Variance documentation Logging unresolved differences in a spreadsheet with notes duplicates information already in accounting software.	53%
4	Cross-team communication delays Email back-and-forth between bookkeeper and accountant on variances slows the month-end close process.	40%
5	Duplicate and reversed entry detection Manual review misses some duplicates and reversed entries, leading to errors that surface later in the month.	26%

Disclaimer

Automation readiness

How well-suited this process is for automation

Process Pain Score™

8.4/ 10

AI Fit Rating™

8.9/ 10

Automation Lift Index™

8.5/ 10

Hidden Overhead™

7.1/ 10

How The Automation Works

The full workflow, from trigger to completion.

1. Bank Statement Receivedtrigger

A new bank statement file is detected in the bank portal or uploaded to a monitored folder.

2. Extract Statement Data

The automation platform reads the statement file and extracts transaction details (date, amount, description, reference).

3. Fetch Ledger Transactions

The automation queries the accounting software to retrieve all transactions posted in the same period.

4. Match Transactions

The automation compares bank transactions to ledger entries using amount, date, and description, flagging matches and exceptions.

5. All Matched?

If all transactions are matched, proceed to reconciliation. If variances exist, route them for investigation.

6. Investigate Variances

The automation searches for missing transactions, checks for duplicates, and suggests likely causes for unmatched entries.

7. Create Variance Report

The automation generates a summary of unresolved discrepancies and posts it to a shared spreadsheet and notification.

8. Mark Reconciliation Complete

Once variances are reviewed and adjustments made, the automation updates the reconciliation status in the accounting software.

Most popular tool stack used

— the complete tool combinations companies use

52% of companies

28% of companies

14% of companies

Disclaimer

What you get when you map this process

Everything you need to understand, plan, and build your automation.

ROI and business case

What this process costs today and what changes once it's automated.

Launch schedule

What gets built, in what order, and what success looks like once it's live.

Process runbook

How the automation runs day to day, including exceptions and human decision points.

Developer handover pack

Full build spec, logic, and configuration — ready to hand off without a briefing call.

Integration and connections guide

Every tool connection, credential, and data mapping the build needs.

Test and QA plan

184 hrsIdentified

4Mapped

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Frequently asked questions

Everything you need to know before mapping this process.

What happens to transactions that don't match automatically?

Unmatched transactions are flagged in a review queue with investigation notes suggesting likely causes such as timing differences or missing invoices. Your team reviews these exceptions and decides whether to adjust or investigate further.

Do we need to change our accounting software to use this automation?

How does the automation handle duplicate transactions or reversed entries?

Will the automation catch all reconciliation errors?

How quickly can we close the books after reconciliation?

View more FAQs

Process pain:8.4/10

Mapped by:4 Companies

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Page updated 10 August 2026