Solution_06 / AI automation
We don’t build AI demos. We build working, verifiable processes.
Artificial intelligence is worth the most where someone today reads, types, sorts and copies: incoming enquiries, orders, documents, quotes, customer service replies. We build these steps into your existing systems so that the AI suggests, a person decides, and every step is traceable. The result isn’t a chat window, but less manual work and faster turnaround – even for a team of three.
01 / Who it’s for
E-mails, forms, invoices, PDFs – which are read, sorted and typed in by hand today.
Frequent questions, order status, suggested replies – with human approval, drawn from your own material.
A first version of product descriptions, quote drafts and report summaries in minutes, in your own style.
02 / What’s included
You don’t need every module at once. The first working version gets whatever takes the most load off your shoulders – the rest can be switched on later without a redesign.
Turning incoming orders, invoices, applications and contracts into structured data and recording them in your system – sent for human review when there is any doubt.
Automatic categorisation of enquiries, prioritising them by urgency and routing them to the right person.
Drafts of customer service replies, quotes, product descriptions and summaries based on your own data and style – sent out only after approval.
A search-and-answer assistant for employees or customers, built on the company’s documents, terms and conditions (ÁSZF) and product data – with sources cited.
Configurable at every decision point: automatic, after approval, or suggestion only. Below a confidence threshold, a person always decides.
Every AI run is logged (input, output, decision), accuracy and savings are measured, and the model cost can be tracked item by item.
03 / How we build it
Every phase ends with something tangible and a decision – you can see where the project stands and what comes next throughout.
01
Where most manual time goes, where an error is acceptable and where it isn’t – a ranked list with a measurable goal.
02
Within a few weeks, a version you can try out with your own documents, with accuracy measured.
03
Integration into the existing process, approval points, logging, data protection settings.
04
Gradual rollout, measuring accuracy and savings, tuning thresholds and templates.
04 / Typical use cases
Orders arriving by e-mail and PDF are read automatically into the business management system, line items included – a person only looks at the uncertain cases.
For each incoming question, the system looks up the status and the knowledge base and writes the reply; a team member approves or corrects it.
Consistent, fact-based descriptions for thousands of products, generated from product data and checked by an editor.
Extracting and summarising the key data of long documents, with deadline tracking.
05 / Frequently asked questions
We define data handling when designing the process: which data may go to a model, whether it is anonymised, whether an EU provider is used, and how long the log is kept. We process customer data only as far as necessary and on a documented legal basis.
It varies by use case, which is why we measure it: in the prototype stage we calculate accuracy on real data and use it to set what can run automatically and what goes to human review.
It takes over the repetitive, mechanical steps; decisions, customer relationships and handling exceptions stay with people – just with less admin.
The model cost is itemised per run in the log; a typical document-processing case costs on the order of a few forints per item, a fraction of manual entry.
References on this topic
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Briefly describe your business, your current process and your goal. In the first conversation we’ll decide together whether there is a real, achievable opportunity in it – no obligation.
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