OCR / DOCUMENT AI
Documents → usable data
Read invoices, purchase orders and forms. Extract agreed fields, validate them against business rules and send exceptions to your team before records enter the system.
- Extract
- Validate
- Review
04 / AI and automation
AI integration and process automation for businesses
Useful AI in day-to-day work, not demos: assistants that answer from your documents, automations that remove repetitive work and integrations with the systems you already use. Built with OpenAI, Claude or Gemini, chosen for the project rather than the trend.
Bring a representative document, question or repetitive task. We agree how a useful result will be checked.
Read. Review. Then act.
DOCUMENT
OCR
STRUCTURED FIELDS- Supplier
- ••••••••
- Reference
- ••••••
- Total
- ••••
Human review before action
- Python
- OpenAI
- Claude
We start from one concrete process with a measurable result
Answers grounded in your data (RAG), with evaluation included
Model usage costs estimated transparently up front
AI that fits the work
From information.
To something useful.
Start with a real business process. Use the right model or specialist tool. Decide what needs a person before it becomes an action.
COMPUTER VISION
Images → a clearer decision
Classify product images, recognise agreed objects or flag a potential visual defect. Test on representative images and route uncertain cases for review before taking action.
- Recognise
- Evaluate
- Review
OPENAI / CLAUDE
Your knowledge → useful actions
Connect models to approved documents and tools. Answer with sources, draft a response or prepare a system update, with permissions and approval before consequential changes.
- Retrieve
- Draft
- Approve
01 / The right fit
Who it’s for
Businesses with many repetitive requests
The same customer questions, quotes written by hand, documents that need reading and sorting. An AI assistant takes the repetitive part and your team checks the result.
Companies with hard-to-search documentation
Procedures, contracts, technical sheets or ticket history. Document search with RAG gives answers with the source cited, from your own material.
Products that want AI features
You already have an app and want summaries, recommendations, classification or an assistant in the interface, without rewriting the product.
02 / A clear scope
What’s included
Every project starts from one concrete process. We usually cover:
- Workshops to identify the processes where AI brings a real gain
- AI assistants and chatbots for customers or staff, in your site, app or existing channels
- Document and knowledge-base search (RAG) with cited sources, on PostgreSQL or Databricks where the data lives
- Workflow automation in Python or Node.js: data extraction, classification, document generation, notifications
- Integrations with CRM, ERP, email, calendar and your systems’ APIs
- Evaluation and testing of answers before launch, plus monitoring afterwards
- Data protection: what reaches the model provider and what stays with you, documented
- Team training and documentation for day-to-day operation
03 / Work behind the words
Relevant work
Projects that show this kind of work in practice.
Our product · preparing for launch
Pitstop360
Our flagship vehicle-maintenance platform for drivers and garages on web, iOS and Android. Booking, payments and garage operations come together with AI features, analytics and integrations with third-party services. Launching in Romania first, built to grow across Europe.
Explore the workIn developmentAzi Licităm
Custom procurement software in active development for a Romanian client. The project brings together a public website, customer workspace and separate administration app, with tender data, matching rules and subscription workflows.
Explore the workGood questions. Clear answers.
Frequently asked questions
Straight answers to what people ask before booking a call.
What does integrating AI into a business actually mean?
It means connecting a language model (OpenAI, Claude, Gemini) to your data and processes with clear rules: which questions it handles, which sources it answers from and what it does when it does not know. The result is an assistant, an automation or a feature in your app, not a generic chat.
Is our company data safe?
Before connecting company data, we agree the permitted data, model provider, access controls and human review needed. We check the selected provider’s retention and training settings and document the chosen configuration and responsibilities in the scope.
How much does an AI project cost?
The Product & AI package starts at €6,999 + VAT for a well-defined assistant or automation. Model usage costs, paid directly to the provider, come on top; we estimate them before starting.
How do we make sure the answers are correct?
We build representative questions and expected answers with your team, then test correctness, source citations and failure cases on changes. The scope defines acceptable results, when to ask for clarification and when to involve a person. Consequential actions use agreed review controls.
Do we have to replace our current systems?
No. The best results come from integrating AI into the tools you already use: email, CRM, the ticketing system or your app. We change only what is needed.
The next step, together
Let’s talk about your project
Start with a 30-minute call to discuss your goals. We explain the next step, including any assessment needed before a reliable quote.
Calls are in English, with Romanian support on request.