1. Issue: Rework caused by errors in expense reports

As a manufacturer and distributor of industrial machinery, we regularly process employee expense reports for business travel and on-site assignments. The process involves an employee submitting a report, which is then reviewed and approved by their manager before being processed for payment by the accounting department.

However, due to busy schedules and other reasons, it was found that managers were often approving these reports without reviewing them thoroughly.

As a result, incomplete applications—lacking attached invoices or containing incorrect transaction dates—were being passed on to the accounting department.

This forced accounting staff to spend extra time verifying the details of each report, which ultimately caused payment delays.

2. Solution: Use AI to proactively detect errors in expense reports

To address this issue, the process owner incorporated an “AI Agent Process” and an “Automatic Report Generation Process” into the workflow.

When an expense report is submitted, a report is automatically generated based on its contents. Next, the AI analyzes the report to check for errors such as missing invoices or incorrect transaction dates. If any inconsistencies are found, the AI identifies the specific error and its reason, and this flagged report is then passed on to the manager for their approval.

This new system ensures that any flaws in the expense reports are visible before they ever reach the accounting department.

Pre-correcting errors in applications significantly reduced the time accounting staff spent reviewing and returning reports.

3. Customers Case Study

4. Other Business Applications

We will enable AI-based reviews for the following tasks:

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