Operating AI systems in production is systems engineering, not prompt optimization. We design and build AI architectures that are integrated into existing systems: with defined model decisions, robust evaluation, clean interfaces and controlled costs.
Services
- Design of AI systems: use-case analysis, model selection, architecture
- Integration of LLMs, agents and RAG pipelines into existing products
- Building inference platforms – including GPU infrastructure and cost models
- Evaluation and observability concepts for continuous quality
Agentic Systems & MCP
Agents are only as good as their action boundaries. Riegel Systems develops agentic systems and MCP servers with:
- MCP Server Development – tools, transports and session handling according to the Model Context Protocol
- Agent Architecture – structured agents instead of free tool calls
- Tool Integration & Provider Orchestration – multi-provider systems with a unified data model
- Browser Automation – Playwright-based automation within domain allowlists
- Safety Guardrails – blocking of binding actions, no payment, no personal data
- Human Approval Boundaries – stop before binding steps, human-in-the-loop
- Observability & Failure Handling – circuit breaker, rate limiting, metrics and evidence