Finance inputs
Accept invoices, purchase orders, credit notes, receipts, statements, and supporting email attachments from approved sources.
Finance document AI
OCR and RAG workflows for finance documents.
Turn invoices, purchase orders, statements, receipts, and expense documents into validated data and policy-grounded review packets.
OCR extracts finance fields and line items, validation checks them against business rules and source records, and RAG retrieves relevant policies with citations. A controlled AI agent can then prepare the exception summary while a finance reviewer retains approval authority.
3-wayinvoice, order and receipt matched
Tolerancethresholds per supplier and category
Exceptionthe only item a person sees
Auditsource, values and approver logged
Finance workflow
Connect every finance decision to its document evidence.
Our OCR document processing and enterprise RAG development services can be combined in a bounded workflow designed around your finance controls.
OCR data extraction
Capture supplier names, document references, dates, currency, tax, totals, line items, and payment terms in a structured record.
Validation and matching
Check required fields, arithmetic, supplier records, duplicates, and purchase-order references. Route uncertain fields instead of silently accepting them.
RAG policy retrieval
Retrieve the applicable purchasing, expense, tax, or approval guidance from approved knowledge sources and cite the supporting passage.
Review-ready output
Prepare a structured transaction record, mismatch list, cited policy context, and a draft recommendation for the assigned reviewer.
Finance control
Require a finance professional to confirm exceptions and approve, edit, reject, or escalate the proposed action before downstream processing.
Matching rules
Matching rules, not just extraction.
Reading an invoice is the easy part. The value is in what happens next: how it is matched, what counts as a mismatch, and who sees it. These are the rules we configure with your finance team before anything is automated. For a worked example on one scanned invoice, including the field that fails and what the reviewer sees, read Invoice OCR: validation before automation.
Rule
What it checks
Two-way match
Invoice against purchase order: supplier, currency, unit price and quantity per line.
Three-way match
Adds the goods receipt or delivery note, so nothing is approved for items not received.
Tolerances
Percentage or fixed thresholds by supplier or spend category, so small rounding differences do not create work.
Duplicates
Same supplier, reference and amount within a configurable window, including near-duplicates from rescans.
No purchase order
Routed to the requester with the cited purchasing policy rather than rejected silently.
Tax and currency
VAT rate and treatment checked against the policy; foreign-currency invoices carry their rate date.
Suitable first use case
Start with invoice exception review.
A useful first scope is a defined invoice stream with known document formats and a clear approval owner. The workflow extracts the invoice, validates it against the purchase order and supplier record, retrieves the relevant policy, and produces an exception pack. Reviewers see the source document, extracted values, validation results, and citations together before making the decision.
Once that bounded process is reliable, the same pattern can support statement reconciliation, expense evidence, close documentation, and vendor follow-up. See how controlled AI agents add workflow actions, or explore more industry document AI use cases.
Finance operations
Build a finance document workflow around your controls.
Bring a representative document set, the validation rules, and the review path. We will help define a practical OCR and RAG pilot.