NetSuite Runs Your Books. It Still Leaves AP to You.
If you run accounts payable on NetSuite, month-end probably looks like this: open each invoice, find the PO, key the amount, choose the GL account, the location, the department, save, and repeat. A few hundred times.
NetSuite is a strong system of record. But AP sits at the edge of it, where invoices show up as PDFs, email attachments, and EDI files. NetSuite stores the result well. Getting there is mostly manual, even for teams who already bought an automation tool and still check every line.
A few things make it hard:
- Every entity codes a little differently, so someone ends up re-coding invoices after the fact.
- Older tools run on rules and templates that break every time a vendor or invoice format changes.
- Connecting anything new to NetSuite feels risky, and no one wants to maintain it.
An AI that actually learns your AP
This is where Vic.ai is different. It is AI-first, not another rules engine. The AI is trained on more than a billion invoices and then learns the way your team codes, so it does not need templates or rules to keep up with new vendors and formats.
It reads each invoice, codes it, matches it to a purchase order (two, three, or four-way, even when the PO number is missing), and routes it for approval. The more invoices it sees, the smarter it gets, processing them 80% faster and reaching up to 99% accuracy over time. You keep full visibility, approval controls, and an audit trail on everything, so the AI earns trust rather than taking it.
IT won't become your next project
This is usually where teams brace for a headache, and it is where Vic.ai works differently. The API integration is built in days, and the experience is white-glove. Vic.ai's team does the heavy lifting of the integration and configuration, so your finance and IT people are not handed a project to build or babysit. The connection is secure and uses credentials your team controls and can turn off at any time.
The proof is in the outcomes
The ROI is not abstract. It lands in a few concrete places:
- Hours back. The AI handles the coding and matching that used to eat month-end, so your team spends less time keying and more on work that needs judgment.
- More volume, same team. As no-touch processing climbs, you can absorb growth without adding AP headcount.
- Fewer costly mistakes. Catching duplicate payments, overpayments, and coding errors before they post protects real dollars.
- A faster, cleaner close. Better data speeds the close and gives you the visibility to time payments well.
Across the platform, that has added up to nearly $200 million in cost savings and over six million hours returned to finance teams.
Brinkley RV, a fast-growing RV manufacturer on NetSuite, adopted AI-first AP early and it shows in the accuracy. In a recent stretch, three out of four invoices went through with no human touch, with 100% accuracy on currency and document type and better than 99.7% accuracy on issue dates, due dates, and reference numbers. Paired with three-way PO matching and analytics, it is a clean example of what AP looks like when the AI learns your data from day one.
Countsy, an accounting firm on NetSuite, cut invoice processing time by 84%, reached 95% coding accuracy, and now runs 78% of invoices with no human touch. "This enables us to take on more clients, while also increasing our profit margins," said founder Mairtini NiDhomhnaill.
Keep the ERP you run
You do not have to replace NetSuite or rebuild your process. Keep the ERP you already run, let AI handle the manual work, and give your team its time back for the work that needs judgment.
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