AI Engineer & Consultant

AI systems that actually ship.
No more pilots that stall.

Strategy. Implementation. Knowledge transfer. So your AI initiative doesn't end at the concept stage.

The Reality

AI projects rarely fail because of the technology.

They fail due to missing implementation expertise. Does this sound familiar?

Expertise gap

Your team has day-to-day operations. There's no time for AI — and the field moves faster than anyone can keep up.

Uncontrolled AI usage

ChatGPT is already being used — just without standards, without governance, without visibility into data flows.

Regulatory uncertainty

GDPR, EU AI Act — which systems are compliant? What documentation is required? Who bears responsibility?

Too many options

There are enough use cases. But which ones justify the investment? Where to start without spreading too thin?

Services

From idea to production-ready AI

Three modules. One goal: AI that delivers results — not just potential.

01

Workshops & Enablement

Your team understands AI as a tool, not a buzzword. Practical, with real use cases from your industry.

  • AI Fundamentals
  • Prompt Engineering
  • Tool Assessment
02

Strategy & Roadmap

Clarity instead of experiments. Which use cases are worth it? How do you start compliant and scalable?

  • Use Case Prioritization
  • ROI Analysis
  • Governance Framework
03

Implementation

I build with your team — not just for you. In the end, you have a system that runs, and a team that can evolve it.

  • PoC/MVP Development
  • Integration
  • Knowledge Transfer
Portfolio

AI at work and at home

Enterprise-Projekte und Kundenprojekte

Live in enterprise production

Voice AI

Customers call, AI understands and books. High success rate on standard requests.

Voice AIProductionEnterprise

Feedback loop for AI agents

DevProcess Toolkit

Autonomous agents need structured feedback. This system provides it — and fixes clear bugs itself.

Agent LoopOpen SourceAutonomy

GenAI pioneer project

MB.GPT

GenAI backend for an automotive virtual assistant. Extensive knowledge base, NLP pipeline, natural language to SQL.

Virtual AssistantGenAI2023

Enterprise Virtual Assistant

Virtual Assistant (Automotive)

Conversational + Generative AI combined. WebChat, WhatsApp, App, In-Car — across the entire customer journey.

Virtual AssistantMulti-ChannelGenAI

Share knowledge without being the bottleneck

Agent Chronicles

Agentic AI is hard to explain. So I built audiobook series — my knowledge, without me being the bottleneck.

Audiobook SeriesMulti-AgentKnowledge Sharing

Real-time dashboard for voice operations

Voice Analytics

Live KPIs, classification, alerting. 8 RCA agents for root cause analysis. WebSocket updates in real-time.

Real-timeMulti-AgentOperations
The Approach

Consulting with implementation expertise

The difference is in the outcome, not the concept.

Traditional Consulting
the1ne
Delivers concepts and recommendations
Delivers working systems
Evaluates and recommends tools
Implements and integrates
Brings frameworks and methodologies
Brings production experience
Hands off after analysis
Stays until go-live
AI Engineer at a DAX-listed corporation
500k+ lines of code in production
Own products live and running
Next Step

Clarity in 30 minutes

Where do you stand? What's realistic? A conversation that provides orientation — no strings attached.

Directly with me. Response within 24h.