From First Idea to Running Enterprise AI
We're software engineers who custom-code your AI — from analysis to running system. One point of contact, no ticket portals.
Starter
One core process custom-automated — the fastest path from problem to running solution.
- 1 core process custom-developed
- E.g. AI sales agent, proposal automation, lead scoring
- API integration into existing systems
- Custom-built code — no limitations
- Training & documentation
- 30 days support included
Professional
Your own enterprise AI — custom-developed, self-learning, and fully integrated into your processes.
- Custom-built enterprise AI
- Ongoing development & new features
- All systems intelligently connected
- Smart Model Routing (up to 80% AI cost savings)
- Dedicated point of contact & engineering team
- Monthly reporting & optimization
- Priority support
Enterprise
Complex AI systems, multi-agent architectures, custom models and on-premise — for companies with special requirements.
- Multi-agent systems & own AI infrastructure
- Individually trained & fine-tuned models
- On-premise or private cloud available
- Unlimited integrations & API development
- SLA & priority support
- Strategic AI consulting at C-level
- Dedicated engineering team
Not sure yet? Start with a free Process Check.
30 minutes where we analyze your processes, identify concrete automation potentials, and create an ROI estimate for your company. No contract, no risk.
Related insights
These articles reinforce the services page with deeper context on ROI, strategy, and implementation.
AI Process Automation for SMEs: 7 Processes You Can Automate Right Now
77% of mid-sized companies consider AI automation business-critical, yet only 22% invest. Discover 7 high-impact processes and how to get started in 4–8 weeks.
AI ROI for SMEs: Concrete Numbers That Will Convince Your Management
81% of mid-sized companies don't measure the ROI of their AI projects. Learn what AI automation really costs, what returns are realistic, and how to build a convincing business case.
AI Strategy for SMEs: Why 70% of AI Projects Fail – And How Yours Won't
Only 7% of mid-sized companies have successfully scaled AI. Learn the five phases of a robust AI strategy and how to avoid the most common pitfalls.
Questions about our services
Clarity for decision-makers and operations teams that want to introduce enterprise AI pragmatically and with measurable impact.
Which service is the right entry point for mid-sized companies?
Usually the best entry point is a clearly defined process with high repetition and measurable effort, such as proposal or invoice processing.
What is the difference between Starter, Professional, and Enterprise?
Starter focuses on one core process, Professional connects several operational areas, and Enterprise scales enterprise AI across teams, systems, and workflows.
How is ROI evaluated before the project starts?
Before implementation, the current process is analyzed, time and error costs are reviewed, and a realistic business case with opportunity estimation is created.