Your invoices process themselves Validated field by field
Arconte is Vantegrate's AI agent for document processing. It extracts and validates the data from invoices, delivery notes, purchase orders and contracts. No templates. No manual data entry. And whatever it isn't sure about, it flags for review.
Illustrative example.
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The most expensive bottleneck in your back office.
Every invoice that enters your company needs someone to look at it, interpret it and key in the data by hand. That is several minutes per document, with an unavoidable error rate. Multiply that by hundreds or thousands of documents a month.
Traditional OCR solutions promise to solve it, but they need a template for every supplier format. When a supplier changes its invoice layout, and they do it all the time, the template breaks and you are back to manual entry.
The result: an admin team stuck on repetitive tasks, errors caught too late and a process that does not scale.
AI that reads, understands and extracts. No templates.
Arconte does not use traditional OCR or fixed templates. It applies AI to understand the semantic structure of each document, the way an experienced person would, but in seconds and at any scale.
You receive an invoice: PDF, image, email, any format
Arconte analyzes it: it identifies supplier, products, quantities, prices, taxes, totals
It extracts the data and validates each field against your rules
The data flows into your ERP or accounting system
If something needs validation, it flags it for human review
Illustrative example.
What changes when you stop keying in data by hand
According to Gartner, machine learning can raise accuracy to the high 90% range on machine-readable documents, not on images (Gartner). The accuracy that counts is the one measured on your own documents.
Lower cost per invoice at the most efficient accounts payable teams (the top 20%) versus the rest (Ardent Partners, 2024).
Processing in seconds, not minutes. What takes your team half an hour, Arconte finishes before the coffee is ready.
Works with any format from day one. When a supplier changes its invoice, Arconte adapts on its own.
What Arconte does for your admin operation
Which industries process documents with Arconte?
Retail and distribution
Hundreds of supplier invoices in different formats, every month. Arconte processes them all.
Manufacturing
Raw material purchase orders, supply invoices, logistics delivery notes. All automated.
Financial services
Customer documentation, supplier invoices, regulatory documents.
Healthcare and logistics
Medical supply invoices, delivery notes, proof-of-delivery receipts, customs documents.
Processing documents in 4 to 6 weeks
Analysis
We analyze your document types, connect your systems and configure the validation rules.
Training
Training with real documents, accuracy tuning and testing.
Go-live
Progressive activation and post-launch support.
150+ integrations
Under the hood
From the email that comes in to the journal entry that goes out
The pitch is further up. Here is the operational detail a finance manager asks for before signing: what comes in, how each field is validated, what happens with what the AI is not sure about, who approves and what gets recorded. Including what Arconte does not do.
How documents come in, and in what format
Arconte does not ask you to change how your paperwork arrives. It listens to a dedicated mailbox (the classic invoices@yourcompany), a shared network folder, Drive or SharePoint, a webhook from your supplier portal and even the photo the warehouse supervisor takes with a phone. It reads native PDFs, scanned PDFs, JPG, PNG, multipage TIFF and the XML of the e-invoice, and it opens the compressed attachments that come in the same email.
Before looking at a single field, it does three things. It straightens and cleans the image, because a crooked photo with a shadow explains a good share of reading errors. It splits the file: a forty-page PDF is often a batch of six different invoices, and it detects where one ends and the next one begins. And it discards duplicates by file fingerprint and by document number, so the same invoice that arrived by email and through the supplier portal does not enter the workflow twice.
Only then does it classify: type A, B or C invoice (the Argentine invoice classes), credit note, delivery note, purchase order, contract. It matters because each type has different fields and rules, and a credit note treated as an invoice muddles the supplier's account balance.
How each field is extracted and validated, one by one
Accuracy is not measured per document but field by field, and that detail changes everything. For each data point, Arconte locates where it sits on that specific invoice (not on a template), reads it, normalizes it and validates it.
Normalizing is the boring part and the one that prevents the most errors: the date 03/04 does not mean the same thing for two suppliers, the amount can come with a period as the thousands separator or a comma as the decimal mark, the tax ID (CUIT) with or without hyphens, and the unit of measure abbreviated six different ways. All of that is converted to a single format before it touches your system.
Validation runs on three levels. Format: the CUIT check digit has to add up. Internal arithmetic: the sum of the lines has to equal the subtotal, and the subtotal plus VAT and withholdings has to equal the total. And against your own data: the CUIT against the supplier master, the purchase order number against open orders, the unit price against the agreed price and the invoiced quantity against the delivery note received, which is the classic three-way match.
Each field ends up with three things attached: the value, its own confidence score and the result of its validations.
The exceptions queue: what the AI is not sure about
No serious solution gets 100% right, and the difference between one that works and one that gets abandoned is what it does with the rest. In Arconte, the confidence threshold is set per field: the total and the CUIT are held to a higher bar than the payment terms. If a field falls below it, the whole document is not stopped: only that field goes to the queue and everything else stays loaded.
The review screen shows the doubtful field next to the crop of the original image where it was read. The person confirms or corrects it in one click, without opening the PDF or hunting for the line. The queue is sorted by age and by amount, not by the order in which documents arrived.
Some cases go to review even when the reading is perfect: a supplier that is not in the master data, a difference against the purchase order above the tolerance, a suspected duplicate, an illegible document. It is human-in-the-loop by design, not a patch.
Whatever gets corrected feeds back into the model. The number we look at every week is the percentage that goes straight through without anyone touching it, and that percentage goes up. An honest note: the first month, the queue is uncomfortable.
Approval, posting to the ERP and what happens if the ERP says no
With clean data, the document enters the workflow you define. Routing rules are built by amount, cost center, supplier and document type: up to a certain amount it goes straight through, above that amount it waits for the right approver, and a purchase without a prior purchase order always requires sign-off. The approver decides from email or from the dashboard, with the document in view.
Then it goes out to the accounting system: header, lines and the link to the original file, so the journal entry is never orphaned from the paper that backs it. Each document carries a unique key (CUIT, type, point of sale and number); if it is reprocessed, it updates instead of duplicating the entry, which is the most expensive mistake in these integrations.
It connects with Tango Gestión, Bejerman, SAP and any system with an API. And when the ERP rejects the load (closed accounting period, inactive supplier, nonexistent account), the document is not lost or blindly retried: it goes back to the queue with the ERP's exact error message, so the person fixes the cause instead of guessing it.
What gets recorded about what the model decided
If an AI touches your accounting, you need to be able to reconstruct why it did what it did. Each field keeps its complete trail: the extracted value, the confidence it was read with, the coordinates on the page, the model version that processed it and, if someone corrected it, who and when. The original document stays immutable next to the data.
That pays off three times. For the audit, which asks how a number was arrived at. For your accountant, who needs the supporting document and not a screenshot. And for disputes with the supplier, because you have the document and the reading side by side.
Retention is set in your environment according to your policy: in Argentina, the Civil and Commercial Code requires keeping supporting records for ten years (Section 328), and that period is configured, not improvised.
As for where the data lives: your implementation runs entirely on Salesforce or on Oracle Cloud Infrastructure. The auditable certifications (SOC 2 Type II, ISO 27001, PCI DSS) belong to those platforms, not to Vantegrate. The details on controls, encryption and data residency are in Security and Data Transparency.
What Arconte does NOT do, and when you should not buy it
Arconte is not an ERP or an accounting system: it does not replace Tango, SAP or your accounting; it hands them clean data. Nor does it assign GL accounts on its own judgment; it applies the coding rules you define, and a new account is your team's call. It does not sign documents digitally, does not file tax returns and does not issue invoices.
With free-form handwriting it is honest: a handwritten note in the margin gets flagged as an exception, not made up. And from a contract it extracts parties, dates, amounts, terms and expiration dates, but the legal reading is still a lawyer's job.
There are three situations where we will tell you it is not worth it, and we say so on the first call. One: low volume. With a handful of invoices a week, the savings do not pay for the implementation and you are better off as you are. Two: if your documents already arrive structured via EDI or XML end to end, the problem is solved and there is no need for AI on top. Three: if nobody on your side is going to work the exceptions queue during the first few weeks. Without that person the workflow stays half-built and the project gets abandoned within two months. It is the only requirement we cannot cover ourselves.
What happens to your data
The same security banks and regulated companies require, on the platform you choose.
Your data stays yours
Zero Data Retention with LLMs. We never use your information to train models or for any purpose beyond what you contracted.
End-to-end encryption
AES-256 at rest, TLS 1.3 in transit. Keys rotate automatically, with a Bring Your Own Key option via Salesforce Shield.
Full audit trail
Every query, action, and decision is logged with user, timestamp, and context. Logs available via API.
Granular control
Permissions by role, by area, and by sensitive field. Your team decides who sees what, not the algorithm.
Frequently asked questions about Arconte
What finance and accounting teams ask before requesting a demo.
What happens to the documents Arconte can't read well?
What happens to the documents Arconte can't read well?
It doesn't guess: it flags them. The confidence threshold is set field by field, and when a value falls below it, the value goes to a review queue with the image crop alongside, while the rest of the document goes through. The correction feeds back into the model, so that format stops showing up in the queue. The indicator we track together is what percentage goes straight through without intervention, not a promise of perfection.
Does it integrate with my system even if it has no API?
Does it integrate with my system even if it has no API?
Yes, though the route changes. With Tango Gestión, Bejerman or SAP the connection is direct. If your system is old or closed, it's handled through file import in the format that system accepts, or by writing to the staging database your team already uses. The route is defined in the first two weeks, looking at your actual installation. We never ask you to switch ERPs to get started.
How much does Arconte cost?
How much does Arconte cost?
There's no list price, because the price follows your volume: a company with 500 documents a month shouldn't pay the same as one with 50,000. Arconte has a one-time implementation, quoted for each company, which covers the assessment, the connection to your systems, the rules and the training. And a monthly subscription that includes AI credits to process your documents, with the option to add credits as your volume grows. There is no minimum term or minimum contract. To see what it would cost in your case, request a quote, and if you want to size the savings before talking to us, the paperwork cost calculator estimates it in two minutes.
What if it doesn't work with my documents after all?
What if it doesn't work with my documents after all?
It's the right question, and it isn't answered with a brochure percentage. The only accuracy that counts is the one measured on your own paperwork, including the messy ones: the crooked scan, the supplier who changed formats, the delivery note with handwritten notes. That's why the first thing we do is process a real batch of yours and show you the result field by field, errors included. If it doesn't perform with your documents, you'll know before signing.
Who owns my documents and the extracted data? Am I locked in?
Who owns my documents and the extracted data? Am I locked in?
The documents and the data are yours, always. They live in your Salesforce or Oracle Cloud Infrastructure environment, not in a system of ours you'd later have to rescue them from, and they can be exported in an open format whenever you want. There is no minimum term. The auditable certifications (SOC 2 Type II, ISO 27001) belong to those platforms, not to Vantegrate; the controls we apply on top of them are in Security.
Does Arconte replace my back-office team?
Does Arconte replace my back-office team?
No, and it's worth saying plainly. What disappears is the typing, not the team: someone has to work the exceptions queue, resolve the discrepancy with the supplier, approve what falls outside the rules and close the month. What changes is how the day is spent: the same team goes from keying in data to checking, reconciling and chasing what is actually wrong.
How long does implementation really take?
How long does implementation really take?
Between 4 and 6 weeks until it's processing in production, and that timeline holds when two things are on your side: a point person who knows the purchasing workflow and access to the accounting system. What stretches the project is almost never the AI; it's waiting for an ERP user, or discovering in week three that the approval rules were never written down. The first two weeks are assessment precisely so that this surfaces early.
How is it different from the OCR we already tried?
How is it different from the OCR we already tried?
OCR turns an image into text: it recognizes characters but doesn't understand what they mean, which is why it needs a template telling it where to look. When the supplier moves the logo, the template breaks. Intelligent document processing interprets the structure: it knows which number is the total even if it has never seen that format.
How much does manual invoice entry cost your company?
Do the math: documents per month × minutes per document × your team's hourly cost. That number is what Arconte saves you. Book a demo and see for yourself.
Francisco Morales, co-founder, takes your call. We reply on WhatsApp within 4 business hours, no strings attached.
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