Extract structured insights from meeting transcripts
When a new transcript is ready in Circleback, send the raw text to Azure OpenAI to automatically extract follow-up tasks and custom classifications.
See all Azure OpenAI + Circleback integrations or talk to a human
4.9/5 on G2·
Google for Startups Accelerator
How Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Azure OpenAI Explore Azure OpenAI →
TriggersFires when Azure OpenAI returns a completion, prediction or other result.
Fires when a request to Azure OpenAI errors or times out.
Fires when a fine-tuning job in Azure OpenAI finishes.
Sends a prompt to Azure OpenAI and returns the model's response.
Sends text, an image or other data to Azure OpenAI and returns the model's output.
Uses Azure OpenAI to classify or extract structured data from text or images.
Circleback Explore Circleback →
TriggersFires when a new meeting is recorded in Circleback.
Fires when an AI-generated summary is ready in Circleback.
Fires when a meeting transcript is ready in Circleback.
Fires when a new action item is captured from a meeting in Circleback.
Uploads an audio or video file to Circleback for transcription.
More Azure OpenAI + Circleback workflows
Condense meeting summaries with advanced AI models
When a meeting summary is generated in Circleback, pass it to Azure OpenAI to summarize text into executive bullet points.
See details
Process media uploads following fine-tune completions
When a fine-tune job completes in Azure OpenAI, automatically upload relevant audio files into Circleback for processing.
See details
See all Azure OpenAI + Circleback integrations → · Browse the full workflow library →
Common questions
Can Knit build “Extract structured insights from meeting transcripts” between Azure OpenAI and Circleback?
Yes — describe it in the box above and Knit's Integrations Agent researches Azure OpenAI and Circleback's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
How can custom AI models process meeting transcripts?
When a transcript becomes ready in Circleback, it can automatically pass to Azure OpenAI to extract specialized structured insights or key findings.
Can raw meeting audio be analyzed automatically?
Yes, when a fine-tune job or custom model run completes in Azure OpenAI, you can upload meeting media into Circleback for enhanced transcript generation.