An Expense Bot That Helps You Spot Repeat Charges

An expense review bot checks exported expense files and prepares a list of records worth reviewing. It can flag possible repeated charges, group recurring services and show which payments need a closer look.

That is useful when you have several subscriptions or messy exports and keep postponing the review. The output should point you to the original records. It does not move money, cancel services or prove that every repeated payment is a mistake.

Start with a file you can understand

Use an export you are authorised to review, such as a CSV from your own records. For the first trial, use sample data with no private account details.

Keep the date, description, amount, currency and transaction identifier if one is available. A clear identifier helps distinguish a repeated import from two separate payments.

You do not need to connect a bank account for a first file-based version. That can be a separate decision after the basic report proves useful.

What should it flag?

Possible finding	Why it needs a look	Why it is not proof
Matching transaction identifiers	The same record may be imported twice	The export could use identifiers differently
Same description and amount close together	A charge may be repeated	Two legitimate purchases can match
A recurring service	A subscription may need review	You may still need and use it
An unfamiliar description	The merchant name may be unclear	The description alone may not identify the purchase

These are example review rules. They are not reported savings or findings from a customer’s account.

Use normal calculations for the numbers

Keep totals and matching rules in a spreadsheet or ordinary program logic. AI can help organise descriptions or draft a summary, but a fluent explanation should not replace a calculation you can verify.

A workflow could read a file, apply the agreed checks and save a review sheet. n8n’s Google Sheets integration supports reading and writing rows. Its Remove Duplicates node is another building block when the matching fields are clear.

Do not delete records simply because a rule flags them. Keep the originals and show the reason beside the finding.

Ask for a review list, not a dramatic verdict

An original output brief could be:

Prepare a list of expense records to review.
For each flag, include the original row and the reason.
Keep amounts and currencies separate.
Mark uncertain matches as possible, not confirmed.
Do not edit the source, cancel services or make payments.

If you want a recurring check, agree how new files arrive, how old imports are identified and where the report is delivered. Each run should be traceable to its input.

Check a few records yourself

Compare flagged rows with the original export. Test two legitimate payments that happen to have the same amount. Include a record in another currency and make sure it is not quietly added to the wrong total.

Keep a status for each finding: checked, explained or still needs information. That turns a one-off list into a practical habit.

What FollowAI can build

FollowAI can build a file-based review tool, connect the agreed data sources, add your matching rules and deliver a clear report with links or references to the original records. We can also set up recurring runs and operate the workflow within the agreed scope.

Explore the expense review bot. Tell us which file format you use and what you want to notice. Savings depend on what the review actually finds; we agree the system’s job, not an invented savings figure.