Smarter Chat Support for Checkvist Teams
Turn Chat Support into a background job. Arahi AI agents use Checkvist to execute on your behalf, 24/7.
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 Checkvist
Link Checkvist to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Checkvist — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Checkvist organized while you focus on execution. Track productivity gains on your dashboard.
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
All data exchanged between Checkvist and Arahi AI during chat support processing is encrypted in transit and at rest. We use OAuth tokens for Checkvist access, never store raw credentials, and maintain full audit logs of every chat support action.
Yes. You define exactly which Checkvist 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 Checkvist.
Most users connect Checkvist 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.
The Checkvist integration maintains a persistent real-time connection for chat support automation with automatic retry logic and continuous monitoring. If Checkvist experiences downtime, queued chat support tasks process automatically once connectivity resumes.
Manual chat support in Checkvist requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Checkvist events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel chat support workflows that respond to different Checkvist events or conditions. For example, one chat support flow for new Checkvist records and another for updated ones — each with independent rules and actions.
Yes. You can run chat support workflows in test mode using sample Checkvist data before activating on live records. This lets you verify every chat support rule works correctly with your Checkvist setup before processing real data.
The chat support agent scales automatically as your Checkvist activity grows. Whether you process 10 or 10,000 chat support tasks per day from Checkvist, the AI handles the volume without slowdowns or additional configuration.
Arahi AI connects to Checkvist via one-click OAuth, then runs chat support workflows that read and write Checkvist data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Checkvist record without developer involvement.
Checkvist 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 Checkvist-adjacent work that genuinely needs human attention.
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