Discuss your projectInvoices, forms, and contracts read by a model and posted to the system of record, with a person checking only the uncertain cases. The team stops re-typing, and accuracy is measured on real paperwork before launch.
Finance, operations, and admin leaders whose team spends its day reading documents and re-typing what they say: accounts payable, applications, claims, delivery notes, contracts. The documents are repetitive, the volume is steady, and the errors are expensive.
The workflow
The steps we see most often in this kind of operation.
Features
Collects documents from shared inboxes, scanners, uploads, and portals into one queue, classified by type so each goes to the right workflow.
Reads the fields each document type needs and checks them against rules such as totals, dates, tax codes, and required values.
Matches invoices to purchase orders and receipts, or applications to existing customers, and flags mismatches for review with the reason shown.
Shows the original document next to the extracted fields, with uncertain values highlighted, so a reviewer corrects and approves in a few clicks.
Tracks extraction quality by document type and field after launch, with sampled checks, so drift is caught and corrected before it reaches the ledger.
Stores every processed document with its extracted data and review history, searchable by supplier, customer, reference, or date.
Your first release
How the work runs
We start with the people doing the work and the systems around it, then write down the first release: what it includes, what it leaves for later, the integration decisions, and the acceptance criteria. Nothing is built until that scope is agreed.
We build in releases you can review as the work takes shape, using realistic data. Every release carries tests, a security review, and documentation. Integrations are tested against real records, with exceptions visible.
Your team receives the documentation, the runbooks, and the training to run the system, and we stay on for continued engineering when you want it.
Scope and price
Every project is priced from a written scope. These are the factors that move it most.
Each document type needs its own fields, validation rules, evaluation set, and review screen, so the count of types shapes the scope directly.
Many supplier layouts, handwriting, and poor scans require more evaluation and more review handling than clean, consistent, digitally generated documents.
Extracting fields is one step, while matching to orders and receipts and posting to the system of record adds business rules and exception handling.
Restrictions on where documents are processed, which model providers may see them, and how they are retained shape the architecture and hosting choices.
Property services company
In a property services company, accounts payable often means reading supplier invoices from several inboxes and keying each one into accounting by hand. A first release handles that single document type: it extracts the fields and matches them to purchase orders. Anything below the confidence threshold goes to a review screen with the original alongside, and exceptions carry a reason and an owner. Before launch, accuracy is measured on a set of the company’s real invoices and written down, and monitoring continues after. The next phase can post confident invoices directly, with sampling.
Questions
What buyers ask before a project like this starts.
We measure accuracy on your documents before rollout. You set the threshold for automatic posting, and everything below it goes to a person.
We agree on it in writing before anything is built: what the model may see, where it runs, and what never leaves your systems.
The people who typed become the reviewers and own the exception queue. The work changes from keying to checking.
Often only in part. Those cases go to review rather than being guessed, and the evaluation tells you the share before you commit.
Models are chosen per task and per data requirement after testing on your documents. Some steps use a general model from a major provider, others use specialized extraction services, and the design allows a model to be swapped when a better-suited option appears.
Reviewers are usually the people who keyed the documents before, so they already know the content. Training covers the review screen, the confidence indicators, and how to record a correction reason, and their corrections feed the evaluation that guides improvements.
Yes, for most common languages, and the evaluation includes samples in each language you receive. Fields are extracted into your standard format, so an invoice from an overseas supplier posts the same way as a domestic one after review.