Azure DevOps
In KarumiTrack product questions from Karumi sessions as issues in Azure DevOps and share Karumi where your team works.
Send what visitors ask about your product straight to Azure DevOps.
Product questions and problems raised in Karumi sessions shouldn’t get lost in a transcript. The integration tracks them as issues in Azure DevOps, where the team that owns the product will see them, together with the context of the session.
How this integration supercharges your workspace:
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Issue tracking
Track product questions and problems raised in Karumi sessions as issues in Azure DevOps.
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Form data capture
Pass the details visitors share in a session, like the email they leave to start a demo, to Azure DevOps.
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Embedded Karumi
Open your Karumi right inside Azure DevOps, where your team already works, without switching tools.
See Azure DevOps data in Karumi
Get complete context on who you’re chatting with in real-time
Use cases
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Turn product questions into issues
Questions and problems raised in sessions can be logged as issues in Azure DevOps for the team that owns them.
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Share inside the engineering workflow
Embed and share directly in Azure DevOps, so engineers can open it where they already work.
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Collect details from forms
Data submitted in forms can be sent to Azure DevOps along with the issue.
Data that flows between Karumi and Azure DevOps
| Data | What it is |
|---|---|
| Issue records | Issues created or updated in Azure DevOps |
| Form data | Details submitted during a session |
| Embeds | Shared content opened directly in Azure DevOps |
FAQ
What does the Azure DevOps integration do?
It creates and updates issue records, sends data collected in forms, and lets you embed and share directly in Azure DevOps.
Do I need engineering to connect Azure DevOps?
No engineering on your side: Karumi’s rollout is live in two weeks. Talk to sales to go through how Azure DevOps fits into your setup.
Is my data secure?
Karumi is GDPR compliant, and the Enterprise plan includes SOC 2 Type II and ISO 27001. With scoped actions, you define what the agent can see, say and do, per audience.
Is session data used to train AI models?
No. Your data stays yours: session recordings, transcripts and visitor inputs are never used to train models.
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