An alert is the beginning of an analysis.
How to review potential duplicates and inconsistencies while keeping each expense in context.
Two similar receipts may deserve a closer look, but similarity alone proves nothing. AI can flag patterns for review; the final decision should consider the receipt, the request and the circumstances of the expense.
Organize the source of the information
A readable image, linked to the correct expense, facilitates any analysis. Orient the collaborator to capture the entire voucher and check the data before upload. Cut or blurred documents may require a new image, even when there is no problem with spending.
Treat signs like questions
Equal values, close dates and similar documents may indicate a possible duplicity. They may also have a legitimate explanation. Instead of turning the alert into an accusation, use it to ask what needs to be confirmed and what information is missing.
- Compare the voucher with the original request.
- Check that there is already another record of the same expense.
- Ask for clarification when the context is incomplete.
Define who reviews and what is recorded
The company must establish who receives the alerts, which cases need a second analysis and how to document the decision. The justification for closure is as important as the alert: it allows us to understand why the expense followed, was returned or remained pending.
Improve the process with results
Recurring alerts may reveal a catch problem, an inadequate rule or behavior that needs guidance. Follow the closing grounds and review the process. Avoid measuring quality only by the amount of alerts: the goal is to support decisions with useful information.
Combine technology and responsibility
No automatic analysis eliminates all inconsistencies. Use the AI as a screening support, with adequate access to the documents and persons responsible for the decision. A well explained review helps to maintain control without making the employee experience confusing.