Many organisations have started their Agentic AI journey on public cloud platforms and now face increasing concerns around data sovereignty, compliance, and control. This playbook provides a practical migration framework to move existing agentic workloads to fully sovereign Swiss infrastructure.
Executive Summary / Key Takeaways
- Step-by-step migration strategy with minimal disruption
- Preservation of agent state, memory, and performance
- Full data residency and regulatory compliance achieved
- Cost optimisation and security enhancement post-migration
- Future-proof architecture ready for scaled Agentic AI
The Challenge
Vendor lock-in, data residency risks, compliance gaps with foreign clouds, and the complexity of moving stateful multi-agent systems.
Our Approach / Framework
Phased migration methodology including assessment, data & state migration, agent refactoring, parallel run, and cutover with rollback capabilities.
Technical Architecture
Exoscale SKS target environment with ArgoCD GitOps, persistent state migration tools, LangGraph checkpointer adaptation, and comprehensive monitoring during transition.
Implementation Guide
12–16 week migration program tailored to workload complexity, with clear phases and success
Conclusion & Future Outlook
Moving to sovereign Swiss infrastructure unlocks long-term strategic advantages in control, compliance, and innovation freedom.
Key Takeaways
- Step-by-step migration strategy with minimal disruption
- Preservation of agent state, memory, and performance
- Full data residency and regulatory compliance achieved
- Cost optimisation and security enhancement post-migration
- Future-proof architecture ready for scaled Agentic AI
