Package · $300 · 1 hour
Azure OpenAI Architecture Review
One hour. You show me what you have. I draw what's actually there, write 5–10 specific recommendations, and send a summary you can forward to the next stakeholder.
One hour. You show me what you have. I draw what's actually there, write 5–10 specific recommendations, and send a summary you can forward to the next stakeholder.
Someone else built the Azure OpenAI deployment. You're the one accountable now. You want a fast read on what's there and what to fix first.
Current setup works but feels wrong. Before sinking weeks into a refactor, you want an outside read on whether the wrong feeling is real.
Your bill is rising faster than usage. You suspect inefficient prompting, wrong deployment type, or content filter passthrough — but want a sanity check before throwing optimization at it.
Deployment topology · model selection and version pinning · PTU vs pay-as-you-go · network exposure (private endpoint vs public) · key vs Entra-ID auth · content filter configuration · prompt-injection posture · logging and Application Insights wiring · cost shape and where the next dollar goes. We'll get through what we can in 60 minutes — the recommendations land in writing afterward regardless.
Drawn during the call, shared after — Mermaid or PNG, your preference. The artifact you didn't have before the call.
Each one concrete, each one ordered by impact, each one with a one-line "why." Not a strategy deck — a punch list.
The version you send to leadership or to the engineer you're handing this to.