AI Pipeline

Your emails, PDFs, and forms processed automatically.

Guillaume Schonrock builds Python AI pipelines that extract, classify, and route your data — no human intervention needed. For startups and SMBs across Europe. −90% manual data entry on production pipelines.

Book 20 min — free, no commitment Ask a question in writing

Response within 24h. No sales follow-up if it's not the right time.

The problem

Too much data to process, not enough time to do it manually

Every day, your team receives dozens of emails, PDFs, and hand-filled forms. Someone has to read them, pull out the key information, and enter it into your CRM or database. It's slow, repetitive, and error-prone.

When volume grows, you hire. But hiring to do data entry is expensive — and demoralizing for your team. More headcount doesn't solve the problem. The right architecture does.

An AI processing pipeline reads your documents, understands the content, extracts what matters, and sends the data where it needs to go — automatically, 24/7, with no manual errors.

Different problem?

I want to query my documents in plain language My team wastes time on repetitive tasks

The solution

An AI pipeline that handles your documents for you

I build Python pipelines that fit your existing infrastructure: source ingestion (email, FTP, web form, API), LLM processing (extraction, classification, validation), and export to your tools (CRM, ERP, database, webhook).

Problem

Manual extraction from unstructured PDFs and emails

Solution

LLM pipeline (LangChain / LlamaIndex) that parses and structures every incoming document

Result

−90% manual data entry on client document workflows

Problem

Classifying thousands of documents into business categories

Solution

Fine-tuned classification model + semantic embeddings (OpenAI / open-source)

Result

92% accuracy on customs code classification (Tariff8AI project)

Problem

Document base of 50,000+ files with no way to query it

Solution

Qdrant vector index + RAG pipeline for natural language search

Result

50,000+ documents searchable in under 100ms

Portfolio

Recent projects

Tariff8AI - AI-Powered Customs Classification

No more manual customs code lookup. AI finds the right code in seconds.

ImpactClassification reduced from hours to seconds

PythonFastAPILlamaIndex+2

Smart Search Through Your Documents

Ask a question, find the answer. Even across 50,000 documents.

Impact50k+ documents searchable instantly

PythonFastAPIQdrant+1

AI-Powered Data Extraction

AI reads your documents and extracts key information. No more manual entry.

Impact90% less manual data entry

PythonLangChainAutoGen+1

View all projects

Process

My Approach

Understand the Problem

I start by deeply understanding business goals and user needs.

Design for Scale

Architecture decisions that support growth and maintainability.

Execute with Quality

Clean code, comprehensive testing, and thorough documentation.

Deliver Value

Focus on measurable outcomes and real business impact.

Frequently asked questions

What types of documents can an AI pipeline process?

PDFs, emails, forms, scanned images, CSV exports — any format that can be converted to text or structured data. Multilingual documents are also supported.

Does my data stay on my own infrastructure?

Yes — the pipeline is deployed in your environment (server, private cloud, or VPS). No data passes through a third-party service without your explicit agreement.

How long does it take to deploy a document processing pipeline?

Between 4 and 8 weeks depending on data source complexity and required accuracy. A working prototype is typically deliverable within 2 weeks.

Available for projects — Q2 2026

Got a project in mind?

Web app, automation, or AI integration — let's talk about how I can help.

Book 20 min — free, no commitment Ask a question in writing

Response within 24h. No sales follow-up if it's not the right time.

Your emails, PDFs, and forms processed automatically.

Response within 24h. No sales follow-up if it's not the right time.