Recognize the situation?
If any of these sound familiar, it’s worth spending 30 minutes reviewing whether AI Document Processing fits your situation. If it doesn’t, we’ll tell you that too.
AI Document Processing
Document Processing. Automated.
Hundreds of documents a day — without human work-hours. The AI extracts, categorizes, and routes incoming documents — building on your existing systems.
95% categorization accuracy · ~50% fewer work-hours · 0% lost documents
30 minutes · online · no obligation
Typical results from real projects — not a guarantee. We verify it on your own data.
The Challenge
You can live with it for a long time — until volume catches up with you.
For a while, a few people handling data entry, categorization, and filing is enough. But as customer numbers and regulatory burden grow, processing capacity doesn’t scale proportionally.
Unscalability
Leadership hits a wall: either overload the team, or expand at a high cost. This is the “why now” pain point.
Wasted Work-Hours
Skilled people doing monotonous data entry — a cost issue and a morale issue at once.
Errors & Lost Documents
In a regulated industry, this isn’t an annoyance — it’s a compliance risk.
Slow Turnaround
Days go by before an invoice is processed — while your competitor responds within minutes.
How It Works
No need to replace your system
AI Document Processing is a modular AI building block: it builds on what's already working — an ERP, a document management system, a case management system, or Omnit's own DOCMAN platform. It extracts data, categorizes, generates tasks, and can even prepare responses. Not an off-the-shelf system — a new capability layered onto your existing operations.
You know your current operations are no longer scalable — you just don’t know which direction is the right one.
This is the most common situation. The intent is there, management support is there — but deciding from the outside whether AI Document Processing, an international alternative, or a custom build is the right direction is hard. In a 30-minute product walkthrough, we help with that choice.
The Solution
Six capabilities — the document's full journey
From intake to archiving — each capability addresses a distinct pain point:
Document Categorization & Filing
Automatic classification of incoming documents — identifying document register, owner, and department.
Task Generation
Creates tasks and initiates approval chains based on content.
Partner Data Extraction
Recognizes partners even across different name formats.
Structured Data Extraction
Extracts key fields from invoices, purchase orders, and contracts: tax ID, document ID, line items, quantities.
Summarization & Response Drafting
Summarizes content and drafts a response when needed. Final approval stays with a person.
Linking to Prior Documents
Finds related past records and links them to the new one — with full context.
AI Document Processing — Detailed Product Overview
Download the full product overview — readable offline, easy to forward by email to your team or decision-makers.
Who It's For
Where volume is high and manual entry is heavy
The pain is usually concentrated in one specific area, but the decision is made at the business leadership level:
Customer Service
Incoming Invoices
Finance / Accounting
Back Office
Procurement
Filing / Registry
Why Omnit
Modular, local, and honest about limitations
No need to replace your system
AI processing builds on your existing systems — drastically reducing the risk and cost of rollout.
Model Optimization
Not the most expensive model, but the best value for money — in production, processing cost is always ticking.
Hungarian Language & Local Documents
Hungarian invoices, contracts, official documents — where international, off-the-shelf solutions fall short.
Learns from Human Corrections
It learns from user corrections and becomes more accurate over time.
One Team, the Full Chain
Extraction → integration → workflow, from a single team — no loss of context.
Implementation Partner, Honest About Limitations
The 95% categorization accuracy isn’t a guarantee — it’s a typical result that depends on data quality and is verified through testing.
The Distinction
AI Document Processing vs. DOCMAN
Two different things — often used together:
AI Layer
Document Processing
Understands and processes the document. Works on top of any existing system. For when the processing itself needs to be automated.
The full platform: registers, versions, approves, and audits documents. A standalone document and workflow management system. For when you need the document management system itself.
Under the Surface
Four known building blocks, working together
Document processing isn't a single piece of magic technology — we know each element, along with its limitations:
OCR · image → text
NLP / NER · understanding content
Classification · type recognition
RAG · source-referenced response
The full technical depth — the four building blocks and the five phases of processing — is in the downloadable PDF product overview.
The Bottom Line
AI doesn't replace people — it takes the robotic work off their plate.
The monotonous, non-value-creating data entry disappears. The freed-up capacity goes toward handling exceptions, customers, and decisions — and as volume grows, this is exactly what avoids the need for continuous expansion.
How We Start
One document type, one pilot
We don't start with an "everything at once" project. We start with a single type — typically incoming invoices — on your real data, with a predefined success criterion. You decide on expansion based on the measured result. We don't go in blind.
Pricing Logic
Project-based pricing — no fixed list price. ROI here is unusually easy to calculate: documents/month × minutes/document × labor cost. The question isn’t whether it’s worth it — it’s how long you can sustain doing it without.
Frequently Asked Questions
Before you get started
Typical categorization accuracy is around 95% — and we deliberately don’t call this infallible. Uncertain cases are routed to a person by the system, and it learns from corrections, becoming more accurate over time. We verify the real accuracy on your own documents, with measurement, before going live.
We start with a focused pilot on a single document type — typically incoming invoices — on your real data, with a predefined success criterion. You decide on expansion based on the measured result. We don’t go in blind.
That’s exactly why a local partner is an advantage. Hungarian invoice and contract formats, and handling the Hungarian language, are where international, off-the-shelf solutions fall short. We tune the processing for these — and test the model on your specific document types.
Yes. Automatic NDA, ISO 27001 background, and private cloud or on-premise processing as needed — your data doesn’t leave your company’s environment unless it’s allowed to. What’s more, every document is tracked: no document gets lost.
Book a Demo
Let's talk about where it hurts most.
We'll look together at which document type would see the fastest return from automation, and what's worth piloting. 30 minutes, free of charge.
Honest feedback — if it doesn't fit you, we'll tell you that too.
Contact
First Step
Fill out the form below and we’ll get in touch within 24 hours, or download the detailed “AI Document Processing” product overview.
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