Illustrative example · Finance Automation
Invoice Processing Agent
An example of extracting invoice details and flagging exceptions for finance to check.
Invoice Processing Agent
The challenge
Invoices arrive in different formats. Finance has to enter the details, check vendors, and investigate unusual amounts before approving them.
The proposed approach
The agent extracts invoice fields, matches the vendor, and applies validation rules. It shows any mismatch or unusual value before approval.
The intended benefit
Finance would spend less time entering fields and more time checking exceptions. Validation should compare extracted data with the original invoices.
Workflow
How this workflow could run.
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Step 01
Read invoice attachments and extract structured fields.
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Step 02
Check the vendor, purchase order, tax, and payment terms.
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Step 03
Flag unusual amounts, missing details, and required approvals.
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Step 04
Prepare an accounting entry and a summary for approval.
Testing the idea
What to check in a working version.
This is a hypothetical workflow design. The steps and checks describe a possible build, and the intended benefits would need to be tested with real work.
The example problem
Invoices arrive in different formats. Finance has to enter the details, check vendors, and investigate unusual amounts before approving them.
What to test
Finance would spend less time entering fields and more time checking exceptions. Validation should compare extracted data with the original invoices.
Steps to automate
- Read invoice attachments and extract structured fields.
- Check the vendor, purchase order, tax, and payment terms.
- Flag unusual amounts, missing details, and required approvals.
Where people review the work
- Review flagged invoices and unusual amounts before approval
- Check vendor or purchase order mismatches
- Update rules when finance policy changes
Possible tools
Checks before launch
- Keep irreversible or sensitive steps behind approval.
- Log the inputs, output, and reason for each important decision.
- Send uncertain results to a person for review.
Results to measure
- Time spent entering invoice details
- Accuracy of extracted fields
- Whether approval records can be traced
What a working build should include
- A workflow map showing what starts a run, which sources it uses, and where the output goes.
- A review screen where a person can inspect the evidence, edit the output, and approve or reject an action.
- A run log showing the inputs, sources, output, and actions taken, including errors.
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