With Azure OpenAI Service open in a tab, Strawberry can organise deployment context, investigate operational questions, prepare technical notes, and connect the people and documents around a model decision. It uses the live Azure context you provide and keeps configuration changes for review.
01
Deployment context can be turned into a usable decision record.
A deployment decision is difficult to revisit when its configuration, requirements, and rationale are split across views and documents. Strawberry can gather the selected context into a readable decision record that names both confirmed facts and unresolved dependencies.
02
Operational questions can be investigated with their constraints visible.
Operational questions need the surrounding limits and environment context, not just a clipped screenshot. Ask Strawberry to investigate the Azure OpenAI Service tabs in scope and prepare a clear answer with the evidence it relied on.
03
Technical updates can be prepared for the people who depend on them.
Engineering, product, security, and support may need different versions of the same update.
Strawberry can prepare those drafts from approved technical material while keeping the caveats and approval points intact.
04
A disciplined review can recur without unattended configuration changes.
A mature deployment review has stable sources, checks, and escalation rules.
Capture them in a skill and use a routine to prepare the next review, with no setting changes made automatically.
Azure OpenAI Service Strawberry