Multi-Agenten-Systeme & Orchestrierung
Hierarchische Architekturen (Supervisor + Spezialisten)
Simple Explanation
Ein KI-'Chef' koordiniert mehrere Agenten, um einen End-to-End-Prozess ohne Mikromanagement auszuführen.
Technical Explanation
LangGraph-Orchestrierung mit Orchestrator-Agent, Sub-Agenten mit MCP-Tools, gemeinsamer Speicher/Zustand, Warteschlangen und End-to-End-Observability.
What You Get
- Supervisor agent that orchestrates multiple specialist agents
- Custom sub-agents for specific tasks (data extraction, validation, API calls)
- Shared memory and state management across agents
- End-to-end observability and logging
- Error handling and retry mechanisms
- Integration with your existing tools via MCP
Use Cases
- Complex document processing workflows
- Multi-step customer onboarding
- Automated report generation from multiple sources
- Intelligent task routing and assignment
Technology Stack
Orchestration: LangGraph, CrewAI, or custom framework
LLMs: OpenAI GPT-4, Claude, DeepSeek, or your choice
Tools: Model Context Protocol (MCP) for integrations
Infrastructure: AWS Lambda, GCP Cloud Run, or Azure Functions
Monitoring: LangSmith, Weights & Biases, custom dashboards
Implementation Roadmap
Phase 1: Discovery & Design (1-2 weeks)
- Map your process and identify agent roles
- Define success metrics
- Create architecture blueprint
Phase 2: PoC Development (2-4 weeks)
- Build supervisor and 2-3 specialist agents
- Implement core workflow
- Test with sample data
Phase 3: Production (4-8 weeks)
- Scale to full agent team
- Add error handling and monitoring
- Deploy to production environment
- Train your team
70% Time Saved
95% Accuracy
24/7 Availability
Pricing
PoC: €8,000 - €15,000 (2-4 weeks)
Production System: €25,000 - €80,000 (8-12 weeks)
Ongoing Support: €2,000 - €5,000/month
Ready to Get Started?
Let's discuss how this solution can work for your business.