AI platforms and infrastructure
Back to use cases
AI PLATFORMS AND INFRASTRUCTURE
Keep critical AI workloads sovereign and portable
Map each AI workload to its data residency, legal and provider dependencies, then design deployment and exit options with a tested route between providers, models and sovereign or private infrastructure.
Industry
Public sector, Financial services, Telecommunications and service providers, Energy and resources, Healthcare and life sciences
Business function
IT and engineering, Finance and risk, Product and strategy
Business goal
Manage risk and compliance, Strengthen operational resilience, Plan cost and capacity
Solution category
AI platforms and infrastructure, Planning and optimisation, Governance and assurance
The opportunity
Critical AI services can become tied to one model provider, cloud region or proprietary interface without a deliberate decision. A change in regulation, pricing or supplier position can then leave an organisation without a realistic exit or continuity plan.
How it works
- 01
Inventory AI workloads with their data classes, residency rules and provider dependencies.
- 02
Assess each dependency for legal, commercial and continuity risk against agreed criteria.
- 03
Design portable deployment options across sovereign cloud, private infrastructure and alternative models.
- 04
Test the exit route for critical workloads and record the accepted continuity plan.
What it needs
- AI workload and data inventory
- Residency, regulatory and contractual requirements
- Provider, model and infrastructure options
What it produces
- Dependency and exposure assessment
- Portable target architecture and exit options
- Tested continuity plan for critical workloads
Where people decide
Risk, legal and technology owners accept the dependency assessment, approve the target architecture and sign off each tested exit route.
Example application
A public body moves a document-processing service to in-country infrastructure, adds an open-weight model option and tests a provider switch before renewing its main contract.
What to measure
Evaluation measures to agree before release, not achieved results.
- Critical workloads with a tested exit route
- Time to switch a model or provider
Next step
Tell us how this use case fits your organisation. Opening the enquiry does not send a message; you review and send it from your email app.
Discuss this use caseRelated use cases
AI platforms and infrastructure
Build a shared business context for AI agents
Governance and assurance