AI-based invoice processing
At a freight forwarding client, processing roughly 2,000 supplier invoices a month went from 3 days to 4 hours; 85% of invoices flow through without human intervention. We build these systems for SMEs and enterprises: the system extracts, matches, and records incoming invoice data. Built by a Budapest-based team.
The next step is the AI opportunity assessment: from HUF 500,000 + VAT.
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Manual invoice processing spends its time on data entry and purchase order matching. At a Central European freight forwarding company, about 2,000 supplier invoices a month in 6 currencies took 3 full days, with a bottleneck at month-end close. The system cut processing time to 4 hours; the measured reduction is 73%.
The system extracts line items from invoices, matches them against purchase orders, and flags discrepancies. Most invoices flow through without human intervention; the rest are routed to a reviewer with the problematic fields pre-highlighted, and the matched data is recorded in the ERP. Contracts, orders, and incoming mail are covered on our AI Document Processing page; carriers and freight forwarders — where invoices travel with transport documents — have a dedicated page.
Payback is determined by your monthly invoice volume and the working time it consumes. Across our 46+ completed projects, automated processes reach a 40-45% efficiency gain; the typical ROI timeframe is 6-12 months. The assessment runs this calculation on your numbers — and if there is no viable use case, we say so.
What does the system do?
Data extraction
The system extracts data from incoming invoices: line items, amounts, currencies. Scanned invoices go through OCR pre-processing; the model is trained on historical invoice data, so it handles vendor-specific layouts.
Purchase order matching
Extracted line items are matched against purchase orders, and discrepancies are flagged. At our freight forwarding client, 85% of invoices flow through without human intervention.
Recording in your ERP
Matched data is recorded in your existing ERP — without ripping and replacing, with zero downtime. We build the integration with an RPA platform (Blue Prism, UiPath, Power Automate) or via API.
Exception handling
Invoices with discrepancies are routed to a reviewer with the problematic fields pre-highlighted. Your colleague reviews the flagged fields; the decision stays with them.
How does implementation work?
- 1
AI opportunity assessment — from HUF 500,000 + VAT
We review your invoicing process: monthly volume, currencies, formats, ERP connection. The output is a written plan with cost and payback estimates you can use even if you continue without us.
- 2
Pilot — 2-3 weeks
We test the system on your own invoices and measure the results. A small proof of concept is ready in 2-3 weeks.
- 3
Implementation and operations — 6-12 weeks
Most projects go from kickoff to production in 6-12 weeks. A document processing system typically runs €30-80K. Source code, models, and data remain yours; monitoring and support are part of how we work.
Why Leventech
A complete team from one source
A project manager, senior developers, and an AI DevOps engineer take the project from assessment to production. 46+ completed projects, 96% client satisfaction.
EU AI Act and GDPR built into development
We run the risk classification at project start and prepare the required documentation. We have experience implementing high-risk AI systems as well.
Your data stays with you
On-premise or private cloud deployment when needed, with open-source models (Meta Muse, Qwen3.8, Mistral Large 3). Your data never leaves your environment.
Common questions
The entry point is the AI opportunity assessment: from HUF 500,000 + VAT. A document processing system typically runs €30-80K. After the assessment you get an exact quote — no surprises.
Payback is determined by your monthly volume and the working time it consumes. At our freight forwarding client, 2,000 invoices a month meant 3 full days of manual work; the typical ROI timeframe is 6-12 months. The assessment runs the calculation on your numbers — and if there is no viable use case, we say so.
The system flags discrepancies and routes the invoice to a reviewer with the problematic fields pre-highlighted. At our freight forwarding client, 85% of invoices flow through without human intervention; the rest are reviewed based on the flagged fields, and the decision stays with the reviewer.
Yes. Scanned invoices go through OCR pre-processing, and the model is trained on historical invoice data to handle multi-currency formats and vendor-specific layouts. At our freight forwarding client, invoices arrive in 6 currencies.
When needed, we deploy on-premise or on your private cloud infrastructure, with open-source models (Meta Muse, Qwen3.8, Mistral Large 3) running entirely on your servers. Your data never leaves your environment.
Yes. We build the integration with an RPA platform (Blue Prism, UiPath, Power Automate) or via API — without ripping and replacing, with zero downtime. At our freight forwarding client, Blue Prism handles the ERP integration.
Still have questions?
Start with a conversation
Tell us how many invoices arrive each month and how much time they consume — we tell you what can be done about it. For processes beyond invoices, see our Business Process Automation page.
What would you automate in your business?
Tell us briefly about the task. We will reply by email to arrange an initial conversation.
The next step is the AI opportunity assessment: from HUF 500,000 + VAT.
What happens after you send?
In the first conversation we review the task, your existing systems and the outcome you need. Then we discuss whether a detailed assessment would help. We provide a proposal before any paid work.
Or reach us directly:
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