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Resolve requests instantly, cut down manual work, and boost team efficiency with tailored AI Agents.
Resolve requests in minutes, not hours
Use public & private docs to power instant, AI-driven responses
Integrate with systems like Jira, Zendesk, & HubSpot to automate tasks from Slack.
Auto-respond to queries using your knowledge base & past tickets
Ask AI to pull info across tools & KBs for faster issue resolution
Automate actions on Tickets using your connected tools
One-click ticket creation from Slack to your ticketing systems
Pull deal status, view lifecycle stage, or update CRM records, directly from Slack.
Create new tickets, check status, or add comments to Jira issues directly from Slack.
Manage Okta actions like reset passwords, unlock accounts, suspend users from Slack.
Answer repetitive queries using your company’s knowledge bases & past support tickets.
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ClearFeed’s GPT-powered Agents use latest AI models to analyze requests in Slack, automatically suggest responses from company knowledge sources and tools and resolve queries faster - even taking automated actions - improving efficiency for support teams.
ClearFeed combines GPT’s natural language understanding with integration to a wide variety of tools and knowledge bases, custom workflows, in-built ticketing, and real-time collaboration tools, offering an all-in-one Slack support solution.
Yes, ClearFeed’s GPT-powered feature works seamlessly with ticketing systems like Zendesk, Jira, ClickUp, Linear and Asana - syncing AI-suggested responses with external workflows. ClearFeed can also use KBs and user Guides from external systems like Zendesk, Intercom & Salesforce to answer questions on Slack.
Customer support teams, IT service desks, HR teams and any business using Slack to manage queries can benefit from ClearFeed’s GPT-powered automation and efficiency.
It pulls from public documents, private knowledge bases in Notion, Google Drive, Confluence, SharePoint, and even tools like Okta, JumpCloud, AssetPanda etc - providing comprehensive answers that are contextually relevant.
Our custom indexing pipeline understands knowledge inside documents and stores in specialized Vector Databases. It is highly accurate, leveraging AI to match queries with relevant knowledge, and then using AI to craft accurate answers. Users can issue custom instructions to the AI Agent to fine-tune its behavior.
