Private AI Feasibility & Cost Review
Should this platform be built, bought, hosted, or deferred?
Defined outputs
A comparison of platform options, capacity needs, estimated costs and operating responsibilities before you invest.
Discuss this projectPrivate AI & high-performance infrastructure
Decide whether private AI is worth building before buying hardware.
We compare a dedicated AI platform with hosted alternatives for your use case. The review covers data, computing capacity, expected demand, cost and who would operate it. If the case holds up, we scope the design and testing.
Part of Systems Engineering & Infrastructure
AI use case · Platform design · Cost comparison · Performance tests
The first decision
Does the workload
justify the platform?
Compare the hardware proposal with the work it must perform, the cost of alternatives and the people needed to run it.
Business caseDemand worth serving
Volume · latency · quality
Measure of business value
Technical fitA viable system
Data · integration · capacity
Security and recovery
Operating caseAn owner for the life of it
Facilities · suppliers · support
Recurring cost and alternatives
Feasibility decision
The assessment determines the next commitment. Procurement and deployment are separately agreed scopes.
Engagement sequence
Check the case first.
Agree each next step.
The review may recommend proceeding, changing the approach or waiting. Platform design, supplier review and deployment testing are agreed separately.
Enterprise AI Platform Architecture
What production design can carry the workloads, data, identities, and operating model?
Defined outputs
A system design showing data flows, access controls, connections and operating responsibilities, with reasons for the key choices.
Discuss this projectSupplier Proposal & Cost Review
Does the proposed capacity, contract, and partner responsibility match the design?
Defined outputs
A supplier review covering cost assumptions, missing requirements, exit options and the tests required before sign-off.
Discuss this projectDeployment Review & Performance Testing
Did the delivered platform meet the approved design and production threshold?
Defined outputs
Deployment records, performance test results, outstanding issues and a recommendation on whether to accept the platform.
Discuss this projectThe architecture review
One assessment across business, platform, and operations.
We review how the platform would use your data, connect to other systems, control access and operate day to day. Expand the list to see the ten areas covered.
Inspect the ten assessment areas
- 01
Business outcome
Workload, success measure, service level, and investment threshold.
- 02
Governance, risk, compliance
Policy boundary, risk owner, data obligations, and approval path.
- 03
Operations and ownership
Who runs the platform, the support included, operating instructions and who approves changes.
- 04
Monitoring and evaluation
Model quality, drift, telemetry, cost, safety, and acceptance evidence.
- 05
Integration and orchestration
Workflows, agents, APIs, queues, failure modes, and human control points.
- 06
Models and platform
Model mix, runtime, portability, licensing, and platform exit conditions.
- 07
Compute and capacity
Training and inference demand, GPU topology, thermal envelope, and growth headroom.
- 08
Data
Sources, residency, lineage, storage IOPS, retrieval, retention, and recovery.
- 09
Identity and access
Entra and RBAC isolation for people, services, agents, and privileged operations.
- 10
Network and security boundary
Segmentation, RoCE or InfiniBand fabric, ingress, egress, and trust boundaries.
Engagement requirements
A sponsor for the decision.
An owner for the result.
Bring a defined use case or workload, an executive sponsor, and an internal technical owner. Existing architecture, capacity estimates, or supplier proposals provide a useful starting point.
The scope states the inputs, assessment methods, assumptions, deliverables, fixed fee, and acceptance criteria. AZ Innovations is responsible for the architecture and delivery coordination agreed in the scope. Licensed engineering and specialist trade work is performed by qualified delivery partners where required.
How engagements workBefore procurement
Know the cost and operating needs before you buy.
Share the AI use case, supplier proposal or capacity question, and your deadline. We explain what information is needed to compare the options.
Request an Architecture Briefing