AI Agent for Chat Support — Built for Canny
Automate Chat Support for teams using Canny. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
84 chats handled overnight. Sample resolution:
Customer
“Hey — my Slack agent stopped firing after I rotated the workspace token yesterday. Anything I need to do on my end?”
Agent draft · in your tone
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your Arahi inbox; once you tap it the agent will pick up where it left off (no re-training needed).
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
Get started in three steps
Connect Canny
Authorize Canny and Arahi AI immediately starts monitoring incoming tickets and support events.
Configure Ticket Workflows
Set up AI triage rules — classify tickets by type, assign priority, and route to the right agent in Canny.
Resolve Faster & Track Results
AI handles routine tickets and drafts responses in Canny. Monitor resolution times and satisfaction scores live.
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your Arahi inbox; once you tap it the agent will pick up where it left off (no re-training needed).
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Lara Knight9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #9281.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged #9281 as the matching topic.
Frequently asked questions
Manual chat support in Canny requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Canny events occur — running 24/7 with consistent accuracy and zero fatigue.
All data exchanged between Canny and Arahi AI during chat support processing is encrypted in transit and at rest. We use OAuth tokens for Canny access, never store raw credentials, and maintain full audit logs of every chat support action.
Yes. The chat support agent connected to Canny simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single chat support workflow can pull data from Canny, process it, and push results to multiple destinations.
The chat support agent scales automatically as your Canny activity grows. Whether you process 10 or 10,000 chat support tasks per day from Canny, the AI handles the volume without slowdowns or additional configuration.
Yes. You define exactly which Canny events start chat support workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so chat support actions only fire when your specific criteria are met in Canny.
Most users connect Canny and launch their first chat support automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure chat support-specific rules through a visual no-code builder.
Yes. You can run chat support workflows in test mode using sample Canny data before activating on live records. This lets you verify every chat support rule works correctly with your Canny setup before processing real data.
Arahi AI connects natively with Canny to handle the full chat support workflow. The AI agent monitors Canny events, processes chat support tasks automatically, and writes results back to Canny — no copy-pasting or tab-switching required.
Arahi AI connects to Canny via one-click OAuth, then runs chat support workflows that read and write Canny data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Canny record without developer involvement.
Canny holds the data; AI supplies the judgment and throughput. Together they turn chat support from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Canny-adjacent work that genuinely needs human attention.
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