Incoming documents become trusted data - inside your perimeter.
Exceptions go to a human. Every value clicks through to the source page.
Every day your counterparties send invoices, delivery notes, acts, contracts and certificates. We classify each document, extract the fields your schema needs, resolve the parties, match the document to its order or contract, and pass it straight through to your systems. Anything that does not match becomes an exception card for a person.
Local models run in your contour. Cloud models are used by policy: who may send which data to which model, with quotas per department and a filter before anything leaves. The whole route stays inside: parsing, the exception queue and the trace back to the source.
We record the source and the exact position of each fragment at intake and carry it through the whole route. A reviewer sees where a number came from before approving it. This is what makes the exception queue work.
Most companies pay an outside contractor or a BPO to process incoming documents. That budget line already exists. We replace it, document by document, without a conversation about headcount.
Three questions to start:
- how many counterparty documents arrive per month
- who processes them today
- what you pay for it
You pick one document class and the fields you need. We bring the base axes for your domain.
We run your real documents through, inside your perimeter or on a stand you control.
Together we measure the direct-pass share and read the exceptions.
You decide.
A named person replies to you.
What accuracy do you get?
We give a number only on your documents and only after a run. The mechanics: part of the flow passes straight through, the rest goes to a person in the exception queue. The direct-pass share is what we measure and improve.
We already have a knowledge assistant. Does this replace it?
No. Keep it. Ask it what to do with the batch of invoices that arrived on the shared mailbox this morning. That is the part we cover.
Cloud or on-premises?
Both, by policy. Local models run inside. Cloud models are used where your policy allows, with quotas and a filter before data leaves.
Does the system build the schema itself?
No. An expert sets the base axes of the domain once, and we supply them. The machine works under them, hands exceptions to a person and proposes new axes for a specialist to decide.
Is it fully automatic?
No. Documents that match pass through. Everything else goes to a human. We do not promise full automation.
Who is already using it?
The product is in development. We have a working extraction stand on real contracts and run results. We do not claim deployments we do not have.
WislaCode is an engineering unit that owns client and partner integrations end to end for banks, payment providers, lenders and acquirers - delivered under your controls, your architecture and your standards.