AI Automation That Replaces Workflows,Not People.
We design AI agent systems that execute real business processes end-to-end — from document intake to decision output. No chatbot demos. No proof-of-concept graveyards. Production-grade automation that runs inside your existing infrastructure, compliant with GDPR and enterprise security requirements from day one.
Automated Document Processing for Procurement
A manufacturing company receives thousands of supplier invoices, delivery notes, and compliance certificates monthly. We build AI agents that extract, classify, validate, and route these documents into your ERP — eliminating manual data entry and reducing processing time from days to minutes.
Intelligent Customer Request Routing
A B2B distributor handles support tickets, order inquiries, and complaint cases through a single inbox. We deploy agentic workflows that read incoming requests, determine intent and urgency, pull relevant data, and route each case to the right department with a pre-drafted response.
Regulatory Compliance Monitoring
An industrial supplier must track evolving EU regulations across REACH, RoHS, and product safety directives for 12,000 SKUs. We build monitoring agents that scan regulatory databases, cross-reference your product data, and generate compliance reports — continuously, not quarterly.
Sales Pipeline Qualification
A mid-sized SaaS company needs to qualify hundreds of inbound leads per week. We design AI agents that enrich lead data, score fit against ICP criteria, draft personalized outreach, and push qualified opportunities directly into your CRM pipeline.
Process Analysis
Identify processes with the highest automation leverage
Prototype
Working prototype within 2–3 weeks
Integration
Connect to existing ERP/CRM systems
Production
Deployment with monitoring and continuous optimization
Process Analysis
Identify processes with the highest automation leverage
Prototype
Working prototype within 2–3 weeks
Integration
Connect to existing ERP/CRM systems
Production
Deployment with monitoring and continuous optimization
Less manual data entry
Faster processing
To working prototype
Why AI Automation Is More Than a Chatbot
Many companies equate AI with chatbots — but the real value lies in automating entire process chains. According to a McKinsey study, 60% of all occupations have at least 30% automatable activities. Document processing, supplier communication, quality control — all of these can be automated end-to-end with AI agents, not just accelerated at individual touchpoints.
Unlike traditional RPA, AI automation handles unstructured data — emails, contracts, images. That's why solutions based on large language models and vision models significantly outperform traditional rule-based automation in flexibility and adaptability.
Our Approach: From Bottleneck to Production-Ready AI Agent
We start by identifying the biggest bottleneck in your operations. During our AI consulting phase, we analyze together where automation has the highest leverage. Then we build a working prototype — typically in two to three weeks, as part of our rapid prototyping approach.
From there, we integrate the solution into your existing systems — ERP, CRM, databases. Our data infrastructure expertise ensures your AI agents reliably access the right data. Read more about concrete use cases in our blog posts on process automation with AI and AI agents in enterprises.
AI Automation From Hamburg — For German Enterprises
Our team is based in Hamburg and serves companies across Germany. We combine on-site workshops with close remote collaboration — so you benefit from personal exchange and efficient implementation, regardless of your location.
We understand the specific requirements of German enterprises: GDPR compliance, works council coordination, data sovereignty, and German-language processing. In our blog post on GDPR-compliant AI with on-premise LLMs, we explain how we reconcile data protection and AI performance.
AI Agents vs. Traditional Automation: What's the Difference?
Traditional automation (RPA) follows fixed rules: if X, then Y. AI agents, on the other hand, can reason, adapt, and handle exceptions autonomously. Modern agent frameworks like LangChain and CrewAI enable multi-step reasoning — the agent plans, executes, and self-corrects independently.
In our blog posts on agentic workflows and AI agents in enterprises, we show concretely how these technologies work in practice and what advantages they offer over rule-based systems.
Frequently Asked Questions About AI Automation
What does AI automation cost?+
Costs depend on scope. A first prototype automating a single process chain is often feasible as a fixed-price project. We start with a free initial consultation and provide a transparent quote.
How quickly will we see results?+
A working prototype typically stands after two to three weeks. From there to a production system takes another four to eight weeks, depending on complexity — including integration with your existing systems.
Which processes are suitable for AI automation?+
Repetitive, data-driven processes work best: document processing, proposal generation, customer support triage, quality control, and contract review. In our initial consultation, we identify the processes with the highest automation potential.
Is AI automation GDPR-compliant?+
Yes. We use EU-compliant providers, evaluate on-premise options, and account for the EU AI Act from the start. Data protection is not an afterthought but an integral part of every solution.
Do we need our own AI team?+
No. We handle development, integration, and operations. Your employees work with the finished automations without needing to become AI experts. On request, we train your team for independent further development.
Do you only offer AI automation in Hamburg?+
Our office is in Hamburg, but we serve companies across Germany — on-site and remotely. Many projects start with an on-site workshop and continue with close remote collaboration.
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