From first pilot to production-ready AI solution.
Hundreds of use cases. One results-driven approach. We help mid-sized companies navigate the complexity of AI adoption – measurable, GDPR-compliant, results-oriented.
Start small. Prove value. Then scale.
Every engagement starts with a concrete, measurable outcome – not a large-scale project.
Results-driven
No concept paper – a working system. You see what AI can do within days.
Quick wins firstPrivacy-first
Every solution is GDPR-compliant from day one. Local processing where possible, EU cloud where necessary.
Privacy by designVendor-independent
We choose the technology that fits your use case – not the one we profit from.
Best of breedKnowledge transfer
Your team can operate the solution independently. Documentation and training are part of every project.
No lock-inGenerative AI impacts every department.
Click on an area to see concrete solutions and industry metrics.
Sales
Your sales team spends more time on data maintenance, proposal templates and follow-ups than on actual selling.
McKinsey, "The state of AI", 2025
Customer communication & support
Customers complain about long response times. Simple inquiries tie up qualified staff. Outside business hours, no one is available.
Salesforce, "State of Service", 2025
Administration & operations
Manual processes in document management, reporting and internal coordination consume time and are error-prone.
Deloitte, "AI in the enterprise", 2025
Finance & accounting
Monthly closings take too long. Invoice auditing is manual. Irregularities in payment flows are detected late.
Accenture, "AI in Finance", 2025
Data privacy & compliance
Employees use ChatGPT and other AI tools on their own. You don't know where personal data flows – yet you're still liable.
Internal n8n workflow as reference → case study coming soon
All industry metrics are based on published studies and market data. Actual results vary depending on the company, system landscape and scope of implementation.
You set the pace.
Our services build on each other – you can pause, expand or deepen after each stage.
AI pilot project
For business leaders who want to see AI in action – without major risk.
Together, we identify a specific bottleneck and solve it with a working AI automation. No concept paper – a running system.
AI strategy & potential analysis
For decision-makers who want a systematic assessment.
Implementation & automation
For companies that want to systematically deploy AI in production.
Governance & training
For companies that need regulatory certainty and employee buy-in.
Vendor-independent. Tailored.
We choose the technology that fits your use case, budget and data protection requirements.
01 AI-powered coding assistants
Autonomous AI agents working directly in the development environment.
| Technology | Purpose | Benefit for you |
|---|---|---|
| Claude Code | Agentic coding – AI develops software autonomously | Highest code quality, strong context processing |
| Codex CLI | AI-powered software development in the terminal | Open source, strong OpenAI integration |
| Gemini CLI | Coding assistant with Google ecosystem | Multimodal capabilities, Google services access |
| OpenCode | Self-hosted alternative | Full data sovereignty – code stays internal |
| Aider | AI pair programming with Git | Open source, any LLM backend |
02 Low-code automation
Visual platforms for drag-and-drop workflows.
| Technology | Purpose | Benefit for you |
|---|---|---|
| n8n | Workflow automation, 400+ integrations | Self-hosted, GDPR-compliant |
| Power Automate | Microsoft 365 ecosystem | Seamless integration with Teams, SharePoint, Outlook |
| Make | Visual automation with strong API connectivity | Intuitive interface, marketing/sales automation |
03 Agent frameworks
Frameworks for complex AI agents.
| Technology | Purpose | Benefit for you |
|---|---|---|
| LangChain | Orchestration of complex AI agents and RAG pipelines | Maximum flexibility, model-agnostic |
| LangGraph | State-based multi-agent workflows | Multi-step decisions, controlled collaboration |
| CrewAI | Multi-agent systems with role distribution | Quick to deploy |
04 Regulation & data privacy
| Framework | Purpose | Benefit for you |
|---|---|---|
| GDPR | Data privacy compliance for all AI applications | Legal certainty within the EU |
| EU AI Act | Risk assessment and documentation requirements | Early compliance protects against fines |
| Open-source LLMs | Local AI models for sensitive data | Full data sovereignty |
What's happening in the market right now.
The AI landscape is evolving rapidly. These trends directly affect mid-sized companies.
SaaS is under pressure
Companies are replacing expensive off-the-shelf software with custom AI solutions – faster, cheaper and perfectly tailored.
AI agents are becoming routine
Systems that autonomously handle emails, review contracts or analyze data are no longer science fiction.
Pressure to act is growing
Those who experiment today will have a significant competitive advantage in two years.
How we work together.
Transparency, knowledge transfer and measurable milestones – from day one.
Hands-on with your team
Knowledge is transferred during the project. Goal: your team can operate the solution independently.
Remote or on-site
Workshops preferably on-site. Implementation remote with fixed check-in cycles.
Clear milestones
Every project has a defined scope, timeline and measurable outcomes.
Knowledge transfer, not dependency
Documentation, training and handover are part of every project.
Ready for your first AI pilot project?
Let's find out together which bottleneck in your company is the right starting point.
Schedule a free consultation →