Decision moment
Which architecture decisions matter before Azure OpenAI build?
Architecture Decision
Problem pageAzure OpenAI Architecture Decision
Make Azure OpenAI architecture decisions around platform path, data flow, identity, monitoring and operating model before build.
Which architecture decisions matter before Azure OpenAI build?
Short answer
Before build, teams need to decide which use case needs which model, data source, identity, logging and review path.
Cluster
Azure OpenAI Security & Governance
Recommended path
Azure OpenAI Consulting
Tirion method
How this decision becomes workable
The page is built as a decision surface, not as a generic article. The goal is to make scope, risk and next move visible.
Which data classes, regions and model paths are acceptable for the use case.
Which Azure services, identities, logs and guardrails are required.
Which governance materials must exist before build or procurement.
Scorecard
What leadership should score before action
Use-case proximity
How close is the process to customers, employees or regulated decisions?
Data flow
Where is data created, stored and moved?
Operations
Who owns monitoring, cost and quality?
Red flags
Signals that the page should lead to governance before build
- Architecture is chosen before use-case prioritization.
- Logging and cost model are missing.
- Business ownership relies only on technical approval.
Decision questions
Questions to answer before the next move
Does the use case need retrieval, agents, workflow or only assistance?
Which systems need to connect?
Which guardrails are mandatory before pilot?
Tirion decision materials
Outputs this work should create
Each page points toward concrete material leadership can review, not abstract advice.
One page with risk, value, owner, non-goals and the next move.
A reviewable matrix for data, risk, effort, readiness and leadership control.
A 30/60/90 path with approvals, pilot boundary and accountable owners.
Example pattern
A practical decision pattern
Several teams want Azure OpenAI, but platform path and operating model remain open.
Tirion compresses use case, data flow, identity and operations into a decision-ready architecture option.
Architecture is selected based on risk, data proximity and operational readiness, not as a generic platform choice.
Related decision guides
Useful next pages for this decision.
Continue with the score, framework or buyer material that best fits this decision.
Tirion homepageEntry point for score, solutions and decision logic.AI Workload CheckScore path for first prioritization and next recommendation.AI Decision Call30-minute entry point for start, stop, scope or Kickstart.Security & ProcurementData handling, DPA/SCCs, roles, review gates and vendor readiness.Tirion approachDecision-to-operations path from AI idea to controlled operation.Tirion solutionsDecision paths from score to Kickstart, sprint and advisory.
More deep-dive topicsOpen the clustered reference links when a team needs more context.
Related pages in this cluster
Azure OpenAI Security & Governance
Cluster hubAzure OpenAI Security & Governance
Azure OpenAI Consulting
Azure OpenAI Data ProtectionAzure OpenAI Data ProtectionHow should teams handle Azure OpenAI data protection before build?
Governance ChecklistAzure OpenAI Governance ChecklistWhat belongs in an Azure OpenAI governance checklist?
Microsoft-first AI ConsultingAI governance consulting for Microsoft 365 and Azure teamsWhat AI governance consulting fits Microsoft 365 and Azure teams?
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