Nexora looks at this topic through the business process: what is happening now, where the loss occurs, how the solution is designed, and what result should be measured after implementation.
The topic
Invoices and payments are a good candidate for automation: the process repeats, the data is partly structured, and the cost of an error is high. Manual handling creates delays, duplicates, wrong amounts, and weak visibility of statuses.
Microsoft describes Natixis CIB in New York, where invoices arrived by email and were moved by hand into a purchasing system. After implementing Power Automate, Power Apps, and AI Builder, the company reached about 90% accuracy in automatic data extraction and gained tighter control over reconciliation.
CATRION automated invoice validation, ECL, and aging reports. The company describes a move from days of manual work to operations that take a few clicks or minutes. Komatsu Australia automated end-to-end invoice processing and estimated savings of about 300 hours a year on a single supplier alone.
How Nexora fits in
Nexora designs not just PDF recognition but the whole financial route: incoming document, extraction, validation, approval, posting, payment status, notification, and reporting.
The source can be email, a portal, a CRM, or an accounting system. The system has to understand not only the fields of a document but also business rules: vendor, PO, contract, limit, tax, currency, duplicate.
If the target system has no API, RPA can be used, but UI automation is a fallback for us, not the first choice.
How we see it
The main mistake is to assume that AI extraction equals full automation. Even with high recognition accuracy, exceptions remain: a poor scan, a new supplier, an amount mismatch, a missing PO, a duplicate, or a change of bank details.
That is why a financial workflow needs a confidence threshold and an exception queue. A high-confidence document passes automatically; a doubtful one goes to review.
Control also has to be protected: who can change bank details, who approves a large amount, and where the audit trail is kept.
How we solve it
- We centralize incoming invoices.
- We extract and normalize the details.
- We check against the PO, the contract, the supplier register, and the rules.
- We detect duplicates and anomalies.
- We route exceptions to a person.
- We post confirmed data to the accounting or ERP system.
- We update the payment status and notify the people responsible.
- We build a report on deadlines, debt, errors, and exceptions.
What improvement to expect
After implementation we measure time per invoice, the share of documents processed straight through, the number of manual touches, errors, payment delays, and reconciliation time.
Natixis CIB reports about 90% extraction accuracy. Komatsu Australia reports 1,100 invoices processed in three weeks and an estimated saving of 300 hours a year on one supplier. CATRION describes reports and reconciliation that used to take days and now take minutes or a few clicks.
At Nexora these figures are not used as a promise. Before a project we count the volume of documents, the current time, and the cost of processing; after a pilot we compare the actual effect.
