Process Data Intelligently with AI
I build systems that read documents, structure data and convert unstructured information into usable formats – automatically.
- Automatically read documents, PDFs and emails
- Turn unstructured data into usable formats
- Seamless integration into existing systems
- GDPR-compliant processing in Europe
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100% free & non-binding
What is AI Data Processing?
AI data processing means: automatically reading, understanding and converting documents, emails, PDFs or other data sources into structured formats.
Instead of manually typing, copying or moving data between systems, an AI system takes over this work. This not only saves time, but also reduces errors and makes information immediately usable.
Use Cases
How I use AI data processing for clients
Read PDFs & Documents
Automatically read invoices, delivery notes, contracts or forms and extract the relevant data – whether scanned or digital.
Extract Email Data
Automatically convert orders, enquiries or booking confirmations from emails into structured data records.
Unify Data
Bring data from different sources (Excel, CSV, APIs, databases) into a uniform format and cleanse it.
Classify Texts
Automatically categorise customer feedback, support tickets or reviews, recognise sentiment and prioritise.
Generate Reports
Automatically create summaries, reports or dashboards from raw data – regularly or on demand.
Connect Systems
Automatically synchronise data between systems – e.g. from the webshop to ERP or from a form to CRM.
How It Works
Identify data sources
What data do you have, in what format does it arrive, and where should it go?
Build processing pipeline
I build a system that automatically reads, understands and structures your data.
Deploy AI model
For complex tasks (e.g. understanding documents, classifying texts) I use AI models such as Claude or GPT-4.
Integrate into your systems
The processed data automatically lands where you need it – database, CRM, ERP or API.
Technologies
AI Models
- Claude (Anthropic)
- GPT-4 (OpenAI)
- OCR & Document AI
Processing
- Python & FastAPI
- PHP & CodeIgniter
- Pandas & Datenanalyse
Storage
- MySQL & PostgreSQL
- REST APIs
- CSV, JSON, Excel Export

How AI processes large amounts of data
Modern AI models distinguish between structured and unstructured data. Structured data – tables, CSV exports, database queries – can be directly analysed and transformed. Unstructured data such as emails, PDFs or free-text forms first require an extraction step: the AI model reads the content, identifies relevant entities and returns a structured JSON object that your system can process further.
What previously required a human eye – read a letter, look up the order number, note the amount – is now handled fully automatically by a processing pipeline. AI can classify (which category does this text belong to?), summarise (what are the key points?), extract (what data is contained in it?) and normalise (unify all date formats). The result lands directly in your database, your CRM or as a structured document in your system.
Concrete use cases
Invoice processing
Incoming invoices by email or upload are automatically read. The system extracts supplier, amount, invoice number and due date and books the record directly into your accounting software – without manual typing.
Email categorisation
Hundreds of incoming emails per day are automatically sorted by type: order, complaint, enquiry, spam. Each category triggers the appropriate workflow – orders to the ERP, complaints to the ticket system, enquiries to the sales team.
Normalise product data
Suppliers deliver product data in a wide variety of formats. The AI pipeline reads all formats and brings names, units and attributes into your unified schema – ready for import into your webshop.
Contact form analysis
Free-text entries from contact forms are automatically evaluated: assess urgency, categorise concern, assign responsible employee. This way every enquiry immediately reaches the right person without anyone having to sort manually.
Frequently Asked Questions
Which documents can be processed?
How accurate is the AI processing?
Can I transfer the results to my existing system?
What about data protection?
What does AI data processing cost?
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