NetSuite AP automation for the bills sitting in your inbox.
We build AI agents that pull every bill out of your shared Outlook inbox, check it against the rates and POs in NetSuite, and post it clean — so you know when bills are due before NetSuite does.
Official services partner of the platforms defining AI
NVIDIA
Anthropic
“We don’t know when bills are due until it gets into NetSuite.”
From an AP team we sat with: a PE-backed services business running NetSuite as the system of record, tens of thousands of invoices a month landing in one shared Outlook inbox, and a legacy OCR tool in the middle reading one field in five.
The inbox is the real ledger
When a bill is in the OCR tool or the email inbox, the team is lost. The liability sits in Outlook, NetSuite knows nothing about it yet, and nobody can say what is due this week.
Twenty percent accuracy, on its way out
The legacy OCR tool reads one field in five — and its parent is sunsetting it. The team keys everything by hand anyway, now with a deadline they didn’t choose.
Pay fast and lose margin, or check and lose service
Pay the vendor quickly and sacrifice margin, or take the time to verify and risk getting service shut off. That trade gets made every week, bill by bill, under pressure.
Why is there a tool in the middle at all?
The buyer’s own question: why do we even need the OCR tool between the inbox and NetSuite — can’t we just get the bills out of the inbox? The answer is yes. Nobody had built it that way.
Throwing bodies at a burning platform
While the real fix gets built, BPO bodies get added over ninety days to hold the backlog. Headcount rises, the backlog doesn’t clear, and every body is one more person to train on the same judgment calls.
The rates and POs sit in NetSuite. The checking doesn’t.
Everything needed to verify a bill — contracted rates, purchase orders, vendor history — already lives in NetSuite. What’s missing is anything that reads the inbox and checks against it, every time.
The due date you learn too late is a margin line, not an inbox problem.
What the manual way looks like at a PE-backed services business on NetSuite. Your numbers will differ — tracing one month of the inbox puts figures on yours before anything gets built.
From an anonymized engagement — a PE-backed services business, roughly 1,400 vendors, NetSuite as system of record
NetSuite invoice automation, built as AI agents around your inbox.
No new system for your team to learn, and no tool in the middle. AI agents read the inbox the way a person would — then check every bill against the rates and POs already in NetSuite.
- 01
Trace one month of the inbox
We follow a month of bills from the Outlook inbox to posted in NetSuite: which read clean, which needed a person, where due dates surfaced too late. That trace defines the build.
- 02
Read the inbox, skip the tool in the middle
AI agents pull every bill straight out of the shared inbox — emailed PDFs, scans, multi-invoice attachments — pure capture up front, with no OCR license sitting between the inbox and NetSuite.
- 03
Cross-reference NetSuite, post clean
Every bill is checked against the rates and POs in NetSuite. Clean bills post untouched; anything that breaks a rule lands in an exception queue with the reason attached, reviewed by a person.
Invoice scanning software rents you the reader. The rules in NetSuite are the product.
Search this problem and you get NetSuite’s own pages, listicles ranking the same scanning tools, and a Reddit thread. The tools read clean PDFs; they cannot know your vendor rates, your PO tolerances, or why Tuesday’s bill is already late.
We build the AP automation NetSuite can’t: AI agents that run in your cloud, read the inbox directly, and enforce rules encoded from your NetSuite data. You own the IP — no per-seat license, no tool in the middle.
We don’t know when bills are due until it gets into NetSuite. When it’s in the OCR tool or the email inbox, we are lost.
Led by Peter Enestrom.
Asked by NetSuite teams outgrowing invoice capture software.
The straight answers, before you book anything.
NetSuite AP automation is removing the manual steps between a bill arriving and a clean, verified entry in NetSuite: reading the invoice, checking it against purchase orders and contracted rates, routing approvals, and posting. Done well, every bill gets checked and only the ones that break a rule reach a person.
NetSuite automates what happens after a bill is in the system. It does not read your shared Outlook inbox, decide what an ambiguous bill is for, or know your vendor-specific rates and tolerances — that gap is why the inbox stays the real ledger. We build the layer NetSuite can’t: AI agents that read the inbox and enforce your rules, posting clean bills into NetSuite.
Same workflow, two phrasings. Invoice processing is the whole pipeline — capture, matching, approval, posting. Invoice automation is removing the manual steps inside it. This page covers both: AI agents handle the pipeline end to end, and people handle the exceptions.
Yes — that is the normal case on these engagements, not the exception. Email invoice processing has no off-the-shelf answer, so agents read the shared inbox the way a person does: opening attachments, splitting multi-invoice PDFs, and pulling the fields that matter. The OCR tool in the middle becomes unnecessary.
Scanning software solves capture — getting data off the document. That was never the hard part; deciding what to do with the bill was. The checks that matter live in your NetSuite rates, POs, and vendor history, which generic scanning tools cannot know. We encode those rules and run them on every bill. For the ERP-agnostic version of this workflow, see our AP invoice automation page.
AI agents can manage the discrepancy conversation from their own email inboxes — asking the vendor for the missing PO reference or corrected rate, with a human in the loop on anything sensitive. Your team sees the queue and the outcomes, not the email tennis.
Start with one workflow.
Tell us where your team loses hours. We will come back with a straight answer on whether AI can help, what it would take, and what it would pay.