AI, MCP & agents
AI agents that work with your software under control
We build MCP servers, skills and integrations so AI agents can safely access existing systems, data and processes — with clear rules, permissions and human approvals.
Stance
Not AI instead of process. AI inside the process.
AI can accelerate a lot, but it doesn't replace a clean process architecture. We embed AI in transparent workflows: with clear triggers, roles, data access, logging and human-in-the-loop approvals for critical steps.
"Deterministic where it matters. With AI where it works."
What we build
Components for safe AI integration
Custom skills for AI agents
Internal knowledge assistants
Support agents
Document classification
Data extraction
Decision support
Safety principles
AI needs guardrails
- Scoped permissions instead of unrestricted system access
- Logging of actions and decisions
- Human approvals for critical steps
- Clear separation between suggestion and execution
- Combination of rules, workflows and AI
- Architecture that respects privacy and roles
Project experience
Use AI where planning is genuinely complex
One example from our project work is an AI-assisted travel planner for group trips. It supports quoting, coach route planning and respects driver hours and rest regulations. The goal was not AI for its own sake, but to take pressure off a complex planning process.