Multi-Cloud Control Plane
Status: Vision | Expected: 2027
Today: Your Azure tenant. Tomorrow: Any cloud. Governance travels with you.
The Vision
The Governed AI Control Plane today runs in your Azure tenant. The architecture is ready for more.
Your investment in governance - the schemas you've promoted, the approval patterns you've defined, the warm queries you've built - should travel with you. Not locked to a single cloud provider. Not dependent on our infrastructure. Yours.
Why Multi-Cloud Matters
The Enterprise Reality
89% of enterprises operate in multi-cloud environments.
Organizations use different clouds for different reasons:
- AWS for specific services
- Azure for Microsoft integration
- GCP for data analytics
- On-premises for regulatory requirements
Governance shouldn't be locked to one of those choices.
The Risk of Single-Cloud Lock-In
| Risk | Impact |
|---|---|
| Pricing leverage | Vendor knows you can't leave |
| Feature dependency | Stuck if provider changes direction |
| Compliance gaps | Some data can't live in certain regions |
| Acquisition risk | What if your cloud provider gets acquired? |
The Foundation Is Already Here
What's Portable Today
The architecture that enables "Fire us and keep running" is the same architecture that enables multi-cloud:
| Component | Current State | Why It's Portable |
|---|---|---|
| Schemas | Exportable | Declarative, cloud-independent |
| Surfaces | Exportable | Configuration-driven |
| Warm Queries | Exportable KQL | Standard query language |
| Approval Patterns | Stored locally | Your data, your patterns |
| Audit Trails | Complete history | Follows your infrastructure |
"Fire Us and Keep Running" = Multi-Cloud Foundation
The same guarantee that lets you leave us is the guarantee that lets governance travel:
- Your data stays in YOUR tenant - not ours
- Your queries keep running - standard KQL
- Your configurations persist - exportable, portable
- Your investment is YOUR moat - not our lock-in
What Multi-Cloud Means
Deployment Options (Vision)
| Option | Description | Use Case |
|---|---|---|
| Your Azure | Current model | Microsoft ecosystem, existing investment |
| Your AWS | Planned | AWS-centric organizations |
| Your GCP | Planned | Data analytics focus |
| On-Premises | Planned | Regulatory, air-gapped requirements |
| Hybrid | Planned | Different surfaces in different clouds |
What Stays the Same
No matter where you deploy:
- Same governance model - "Nothing without approval"
- Same approval workflows - Proposals queue the same way
- Same audit trails - Complete history, same format
- Same MCP integration - Bring any AI, any cloud
- Same Azi experience - AI collaborator works the same
What Changes
| Dimension | Azure (Today) | Multi-Cloud (Vision) |
|---|---|---|
| Data storage | Azure Data Explorer | Cloud-native equivalents |
| Identity | Azure AD | Federated identity |
| Networking | Azure VNet | Cloud-native networking |
| Secrets | Azure Key Vault | Cloud-native secret stores |
Why We're Different
Others Provide Abstraction
Kubernetes, Crossplane, Terraform - they abstract infrastructure.
But they don't provide governed abstraction.
| Platform | What They Abstract | What They Govern |
|---|---|---|
| Kubernetes | Container orchestration | Container scheduling |
| Crossplane | Infrastructure provisioning | Infrastructure state |
| Terraform | Infrastructure as code | Infrastructure drift |
| OpenIndustrial | AI capabilities + data + tools | Everything |
Others abstract cloud complexity. We govern cloud complexity. Different category.
The Unique Intersection
No one claims governance-first + multi-cloud + industrial:
- Cloud abstraction platforms (Crossplane, K8s) - no AI governance
- MCP Gateways (Obot, Kong) - no data layer, no industrial focus
- Industrial AI platforms (Seeq, C3) - locked to their infrastructure
OpenIndustrial: Governed AI Control Plane that runs anywhere.
How We Get There
The Roadmap
| Phase | Focus | Timeline |
|---|---|---|
| Phase 1 | Azure foundation (SHIPPED) | Today |
| Phase 2 | Portable configuration export | 2026 |
| Phase 3 | AWS deployment option | 2027 |
| Phase 4 | GCP + on-premises options | 2027+ |
Technical Approach
- Abstract cloud-specific services - Replace Azure-specific with portable interfaces
- Federate identity - Support multiple identity providers
- Standardize storage - Cloud-native adapters for data layer
- Preserve governance - Same approval model, any cloud
What You Can Do Today
The foundation is working. While multi-cloud is vision:
- Deploy to your Azure tenant - Full governance today
- Export your configurations - Portability foundation exists
- Build governance patterns - They'll travel with you
- Invest in schemas and queries - Cloud-independent value
Your investment today becomes your foundation everywhere. Start with Azure, know it travels.
Related
- Roadmap Overview - All planned features
- Fire Azi and Keep Running - The portability foundation
- Governed MCP Gateway - AI capabilities, governed
- Mission Critical - Infrastructure you own forever
On this page
- FrontmatterVersion: 1 DocumentType: Guide Title: "Multi-Cloud" Summary: "A 2027 vision for running the Control Plane outside Azure, so the schemas, approvals, and queries you built travel with you to any cloud." Created: 2026-01-19
- Multi-Cloud Control Plane