Futurelab builds document AI that reads invoices, purchase orders, claims and contracts, extracts key fields, validates GSTIN and tax, matches against purchase orders and goods receipts, catches duplicates and posts clean documents to SAP, Oracle, Tally or Zoho Books, with exceptions routed to people and every step logged.
Document AI and invoice processing
We build document AI that reads invoices, purchase orders, claims and contracts, extracts the fields that matter, checks them against your rules and systems, and posts the clean ones to your ERP. Exceptions go to a person, with the reason.
Futurelab Studios: OpenAI Select Partner · Claude Partner Network
Trusted by teams at PepsiCo · ITC · SBI · Syngenta
Reading the invoice is the easy part. The value is in the checks. Pick a sample invoice and see which checks it passes, and where it goes.
Vendor, GSTIN, invoice number and date, line items, taxes and totals are read from PDFs, scans, photos and email attachments, in any layout.
GSTIN format and vendor master, tax rates and arithmetic are verified, and IRN details are captured for e-invoices.
Quantities and prices are matched against the purchase order and goods receipt, within the tolerances your finance team sets.
The same invoice arriving twice, by email and by courier, or with a changed number, is flagged before it is paid twice.
Clean invoices post to your ERP. Anything that fails a check goes to the right person with the reason and the evidence.
Futurelab builds products that read, search and write documents. Document AI builds start from what we learned shipping them; status is shown as it stands today.
Answers questions from your own documents, the same reading and grounding a document AI pipeline needs.
Keeps documents organised and searchable, so every processed invoice and contract can be found again.
Turns processes into standard operating procedures, the playbook behind every exception route.
Document AI is worth building when your team retypes the same kinds of documents every day and errors cost real money.
Your team stops keying in invoices and claims, and spends its time on exceptions, vendors and analysis.
Duplicate payments, price mismatches and tax errors are caught before payment, not found in the next audit.
Every document, extracted field, check and approval is recorded, so auditors and controllers can see exactly what happened.
Straight through when it is right, a person when it is not Document AI should never guess at a payment. Every field carries a confidence score, every exception carries a reason, and every posting is logged for audit.
Each one is connected to the systems you already use, such as SAP, Oracle, Tally, Zoho Books or your own ERP, and tested on a sample of your real documents first.
Vendor invoices captured, checked and posted, end to end.
Employee, dealer and insurance claims checked against policy.
Key terms pulled out and checked against your standards.
Vendor, dealer and customer documents verified faster.
Four steps, each with a clear output, so you see accuracy on your own documents before anything touches your ledger.
Collect a representative sample of documents, map the fields and rules, and agree accuracy targets with finance.
You get: A field map, rules and accuracy targets
Set up intake, extraction, checks and routing, connected to your ERP and vendor master.
You get: A working pipeline on your documents
Process real documents alongside your team, compare results field by field and tune until targets are met.
You get: An accuracy report against your targets
Switch on straight-through posting for clean documents, monitor exceptions and add the next document type.
You get: Live processing with owners and audit logs
Embedded deployment with the full advisory team—custom AI tools that shortened planning cycles and improved coordination.
Document AI reads business documents such as invoices, purchase orders, claims and contracts, extracts the information in them, checks it against your rules and systems, and passes it on, so people no longer retype documents by hand.
Invoices arrive by email, upload or scan. The AI extracts vendor, GSTIN, invoice details, line items and taxes, validates them, matches them against the purchase order and goods receipt, checks for duplicates, and posts clean invoices to your ERP. Anything that fails a check goes to a person with the reason.
Yes. It reads PDFs, scans and phone photos in varied layouts, validates GSTIN and tax calculations, and captures e-invoice IRN details where present. We test it on a sample of your own vendor invoices first.
Common targets include SAP, Oracle, Microsoft Dynamics, Tally and Zoho Books, as well as custom systems with an API or import format.
Accuracy depends on document quality and variety, so we measure it on your own documents during a parallel run and agree targets with finance before going live. Every field carries a confidence score, and low-confidence fields are sent for review rather than guessed.
For contract work, yes. It extracts parties, dates, values and renewal terms, compares clauses with your standard positions, highlights risky or missing terms and builds a searchable contract register. Lawyers review and decide; the AI does the reading and the first pass.
Only within rules you set. Clean, matched invoices can post straight through, while mismatches, duplicates and anything over your thresholds go to a person. Every step is logged for audit.
Tell us which documents you process, roughly how many a month and which systems they end up in. We will come back with a practical view of accuracy, effort and where to start.