Condense meeting summaries with advanced AI models
When a meeting summary is generated in Krisp, pass it to Azure OpenAI to summarize text into executive bullet points.
See all Azure OpenAI + Krisp integrations or talk to a human
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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 generates a response to a prompt.
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.
Uses Azure OpenAI to summarize a block of text.
Uses Azure OpenAI to classify or extract structured data from text.
Krisp Explore Krisp →
TriggersFires when a new meeting is recorded in Krisp.
Fires when an AI-generated summary is ready in Krisp.
Fires when a meeting transcript is ready in Krisp.
Fires when a new action item is captured from a meeting in Krisp.
Uploads an audio or video file to Krisp for transcription.
More Azure OpenAI + Krisp workflows
Extract structured insights from meeting transcripts
When a new transcript is ready in Krisp, send the raw text to Azure OpenAI to automatically extract follow-up tasks and custom classifications.
See details
Process media uploads following fine-tune completions
When a fine-tune job completes in Azure OpenAI, automatically upload relevant audio files into Krisp for processing.
See details
See all Azure OpenAI + Krisp integrations → · Browse the full workflow library →
Common questions
Can Knit build “Condense meeting summaries with advanced AI models” between Azure OpenAI and Krisp?
Yes — describe it in the box above and Knit's Integrations Agent researches Azure OpenAI and Krisp'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 Krisp, 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 Krisp for enhanced transcript generation.