You will get I will build n8n AI workflows for document extraction and analysis
Project details
Are you still manually copying data from PDFs, invoices, or contracts
into spreadsheets or your CRM? That is exactly the kind of work that
should run automatically while you focus on what matters.
I build LLM-powered document automation workflows using n8n —
connecting your documents to your tools without manual effort.
Whether you need to extract data from invoices, analyze contracts,
classify incoming emails, or route information to your database:
I design workflows that run reliably and scale with your volume.
I have built production automation systems for regulated industries
including energy and chemicals, where reliability and data accuracy
are non-negotiable. My workflows combine n8n orchestration with
OpenAI or Azure OpenAI for intelligent extraction — going far beyond
simple rule-based automation.
What you get: fully functional n8n workflows with LLM integration,
documented and ready to run in your environment. No black boxes,
no vendor lock-in, no ongoing fees beyond your own API usage.
into spreadsheets or your CRM? That is exactly the kind of work that
should run automatically while you focus on what matters.
I build LLM-powered document automation workflows using n8n —
connecting your documents to your tools without manual effort.
Whether you need to extract data from invoices, analyze contracts,
classify incoming emails, or route information to your database:
I design workflows that run reliably and scale with your volume.
I have built production automation systems for regulated industries
including energy and chemicals, where reliability and data accuracy
are non-negotiable. My workflows combine n8n orchestration with
OpenAI or Azure OpenAI for intelligent extraction — going far beyond
simple rule-based automation.
What you get: fully functional n8n workflows with LLM integration,
documented and ready to run in your environment. No black boxes,
no vendor lock-in, no ongoing fees beyond your own API usage.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Synthetic Data Generation, Text RecognitionAI Development Language
PythonAI Models
GPT-3, GPT-4, GPT-Neo, LLaMAWhat's included
| Service Tiers |
Starter
$199
|
Standard
$399
|
Advanced
$699
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 12 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | |||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
One Extra Flow for your chosen suite
(+ 2 Days)
+$120
Setup of new n8n instance
(+ 1 Day)
+$150Frequently asked questions
About Florian
GenAI & RAG Solutions Architect | LLM Integration | NLP | Azure AI
Ludwigshafen am Rhein, Germany - 4:43 pm local time
Most AI projects fail not because of bad technology but because nobody bridges the gap between a promising prototype and a system that actually runs reliably in production. That's exactly what I do.
I help companies turn AI ambitions into deployed, production-grade GenAI solutions. Whether you're exploring your first LLM use case or struggling to get an existing PoC into the hands of real users. I take you from where you are to where you need to be.
What I deliver:
→ RAG Systems & LLM Integration
Custom retrieval-augmented generation pipelines that give your team reliable, grounded answers from your own data. I design the full architecture — from chunking strategy and embedding models to vector store selection and retrieval optimization. No hallucinations, no black boxes, no "it works on my laptop" demos.
→ GenAI Strategy & Feasibility
Not every problem needs an LLM. I help you evaluate whether GenAI is the right fit, which model and architecture to choose, and what a realistic roadmap looks like — before you invest months of engineering time. Think of it as a technical due diligence for your AI initiative.
→ NLP & Intelligent Document Processing
Extracting structure from unstructured data like contracts, reports, technical documentation. I build pipelines that classify, extract, and summarize at scale, combining classical NLP with modern LLM capabilities where it makes sense.
→ AI Agents & Agentic Workflows
Beyond simple chatbots: multi-step AI agents that reason, use tools, and execute complex tasks autonomously. From customer service automation to internal knowledge assistants that actually understand your processes.
→ Azure AI & Enterprise-Grade Deployment
Production solutions built on Azure AI Foundry, designed for environments where security, compliance, and data privacy are non-negotiable. I know what it takes to get AI approved in regulated, enterprise settings.
Why clients work with me:
I've spent years building GenAI solutions in environments where "good enough" isn't good enough:
At Mercedes-Benz Tech Innovation, I worked on GenAI frameworks and LLM evaluation for automotive engineering use cases.
At BASF, I developed ML solutions under strict regulatory and compliance requirements.
As Expert Data Science & AI at a major German energy company, I designed and deployed production AI systems serving thousands of users.
This background means I don't just build technically sound solutions but I understand stakeholder management, enterprise architecture, compliance, and what it takes to get AI projects across the finish line in complex organizations.
My tech stack:
Python · LangChain · LlamaIndex · Azure AI Foundry · Azure OpenAI · OpenAI API · Anthropic API · Open-source LLMs · Vector Databases · FastAPI · Docker · n8n · Classical ML (scikit-learn, XGBoost) · NLP (spaCy, Hugging Face) · Small Language Models · RAGFlow
How I work:
I'm pragmatic, fast, and communicative. I start every engagement by understanding your actual business problem - not jumping into code. I give you honest assessments of what's feasible, what's not, and what the fastest path to value looks like. I deliver working solutions, not slide decks.
Whether you need a 2-day feasibility sprint, a rapid prototype, or someone to take your existing PoC to production --> let's talk. I typically respond within a few hours.
Steps for completing your project
After purchasing the project, send requirements so Florian can start the project.
Delivery time starts when Florian receives requirements from you.
Florian works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze your documents and define extraction/routing logic
Design workflow architecture and confirm with you before building