


Korl Slack Agent is an AI-powered tool that automatically captures, tracks, and closes the loop on customer feature requests—directly inside Slack. It pulls request signals from call recordings in platforms like Gong, Zoom, Fathom, and Fireflies, then routes them for review so teams can file or update Jira tickets without switching tools. When a requested feature ships, the agent drafts a personalized update for the customer, turning a once-silent process into a visible, closed feedback loop.
Korl listens to recorded customer conversations from Gong, Zoom, Fathom, Fireflies, and others, then extracts feature requests using AI. No manual input or tagging required—requests surface automatically.
Once a request is captured, team members can review, approve, or edit it directly in Slack. From the same thread, they can file a new Jira ticket or update an existing one without leaving the chat.
When a requested feature finally ships, Korl drafts a custom message for the customer. The CSM can review, tweak, and send it—closing the loop with a personal touch that shows the customer they were heard.
“Korl turns Slack into the single source of truth for customer feedback—no new tools, no extra clicks.”
Most request-tracking solutions require teams to adopt a separate dashboard or log in to a new platform. Korl flips that model: it lives entirely inside Slack, the tool teams already use all day. By combining automatic capture from call recordings with in-channel Jira updates and personalized ship notifications, it eliminates the manual work that usually causes requests to slip through the cracks.
You’re a CSM, product manager, or revenue leader who wants to stop losing customer feedback in spreadsheets and email threads. If your team already uses Slack, Jira, and call recording tools like Gong or Zoom, Korl fits naturally into your existing workflow—no new logins, no training, just a tighter feedback loop from request to release.
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meowbyte
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korl.co/slack-agent
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