1The business problem
Are you a finance director or financial controller at a manufacturer?
A typical mid-size manufacturer spends a large share of finance time matching invoices to purchase orders by hand.
Manual Invoice Matching
Each invoice is cross-referenced by hand, which is slow and prone to error.
2What we would advise
We would design finance AI agents to read invoices, match them to purchase orders and flag exceptions for a person to approve.
- Process Mapping. Review the accounts payable workflow and agree what to measure.
3The proposed solution
| Capability | What it does | Status |
|---|---|---|
| AI Finance Agent | Reads invoices and matches them against purchase order data, flagging anything that needs a person. | To evaluate |
| Final decision | Finance approves | Human decision |
4Starting point and aim
| Area | Typical starting point | What we would work towards |
|---|---|---|
| Invoice processing | Manual matching for every invoice | Automated matching, people handle exceptions |
5Evidence and how we would measure it
This is an illustrative approach, so there are no results to report. In a real engagement we agree the measures first and report against your own baseline.
- MeasureTime per invoice and error rate against your own baseline
- ReviewResults reviewed with you at 30, 60 and 90 days
Expert insight
The aim is clearer, earlier visibility of the cash position for leadership.
Questions we are often asked
What invoice formats can the AI process?
Common formats such as PDF, CSV and scanned images. We confirm your formats during discovery.
Most relevant for: Manufacturers and logistics businesses processing a high volume of supplier invoices.