Summary
Total records, matched records, missing rows, mismatches, duplicates, and review items.
Excel reconciliation automation
Turn recurring spreadsheet checks into automated exception reports.
Automate recurring Excel and CSV comparison workflows, then expand the same matching logic to PDFs, statements, and system exports when needed.
Matching Rules
The problem
Teams export files from different systems, clean columns, run lookup formulas, check rows manually, and recreate summary reports every week or month.
The goal
Apply your matching rules, generate a clean exception report, and review only the records that need attention.
Demo
In this demo, we compare Orders.xlsx and Payments.xlsx, match records by Order ID, and generate a clean reconciliation report.
Output
The output can be adapted to your files, matching rules, formats, and reporting requirements.
Total records, matched records, missing rows, mismatches, duplicates, and review items.
Rows that were successfully matched according to your reconciliation rules.
Records missing from File A or File B, separated into clear review tabs.
Amount, status, date, customer name, or reference number differences.
Duplicate IDs, duplicate invoices, duplicate payments, or repeated references.
Rows that cannot be safely classified automatically and should be checked by your team.
Use cases
Automate checks between invoices, payments, bank records, ledgers, and monthly reports.
Compare exports from different internal tools and identify missing or inconsistent records.
Reduce repetitive spreadsheet checks across recurring client work.
Reconcile orders, payments, refunds, settlements, logistics fees, and internal reports.
How it works
Understand what files are compared, where they come from, which columns matter, and what the final report should show.
Match by Order ID, Invoice Number, Transaction Reference, or a combination of fields.
Clean data, apply matching logic, compare values, and prepare structured outputs.
Generate summary, missing records, mismatches, duplicates, and manual review tabs.
Run the workflow again for future weekly or monthly checks, then improve it as your process changes.
Before FlowPilot
After FlowPilot
FAQ
No. In many cases, Excel remains part of the workflow. The goal is to reduce repetitive manual comparison, not force your team into a completely new system.
Yes. The workflow can be adapted for Excel, CSV, Google Sheets, and exports from different business systems.
We can define field mappings so the workflow understands which columns should be compared, even if different files use different names.
In many cases, yes. The workflow can include cleaning steps such as trimming spaces, standardizing date formats, normalizing text, and converting number formats.
Some workflows need flexible matching by customer name, date, amount, invoice number, transaction reference, or a combination of fields.
Not for the first audit. You can describe the workflow or provide a fake or anonymized sample with the same column structure.
Yes. Many teams start with Excel or CSV reconciliation, then apply the same matching rules to PDFs, statements, system exports, and recurring business reports.
Free reconciliation audit
Send us one recurring Excel or CSV comparison scenario. You do not need to share sensitive data at this stage; a description or anonymized sample is enough.
Ready to stop manual Excel comparison?
FlowPilot Studio helps finance and operations teams detect missing records, mismatches, duplicates, and exceptions faster without replacing the tools they already use.
Book a Free Reconciliation Audit