Automate the manual work in Azure OpenAI

FullSpec maps how Azure OpenAI fits into your day-to-day, finds the repetitive work worth automating, and gives you a clear plan to connect it with the rest of your tools.

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Azure OpenAI by the numbers

Insights from real process mapping sessions that involve Azure OpenAI.

No processes mapped yet using Azure OpenAI. Map a process that uses Azure OpenAI to see automation data here.

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Top 5 Azure OpenAI friction points when done manually

Manually copying Azure OpenAI responses

Staff spend time copying model outputs from Azure OpenAI into documents, emails, or systems instead of having responses flow directly to where they are needed.

78% report this

Tracking Azure OpenAI token usage costs

Finance and operations teams manually monitor and reconcile Azure OpenAI API calls and token consumption across projects to understand actual spending.

71% report this

Reformatting Azure OpenAI outputs for compliance

Employees manually edit and restructure Azure OpenAI responses to meet industry standards, audit requirements, or internal data formats before they can be used.

62% report this

Validating Azure OpenAI accuracy per request

Team members individually review each Azure OpenAI output to verify factual accuracy and quality before allowing it to be shared or acted upon.

51% report this

Managing Azure OpenAI access and permissions

Administrators manually grant and revoke Azure OpenAI access for employees, contractors, and departments without a centralized provisioning workflow.

26% report this

Data points based on anonymized data from FullSpec mapping sessions

What you can automate in Azure OpenAI

Browse popular Azure OpenAI automations FullSpec can map for you. Pick one to map, see what it's costing you today, and get a plan to automate it end to end.