Smarter Chat Support for Slack Teams
Turn Chat Support into a background job. Arahi AI agents use Slack 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 Slack
Add Slack to your Arahi AI workspace in seconds. The AI immediately starts listening for messages and events.
Configure Message Workflows
Choose which Slack channels, threads, or DMs trigger AI actions — and what happens next.
Automate & Stay in the Loop
The AI handles routine messages and tasks in Slack while escalating anything that needs your attention.
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
The chat support agent scales automatically as your Slack activity grows. Whether you process 10 or 10,000 chat support tasks per day from Slack, the AI handles the volume without slowdowns or additional configuration.
Yes. You define exactly which Slack 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 Slack.
All data exchanged between Slack and Arahi AI during chat support processing is encrypted in transit and at rest. We use OAuth tokens for Slack access, never store raw credentials, and maintain full audit logs of every chat support action.
The Slack integration automates end-to-end chat support — including data capture from Slack, validation, routing, follow-up actions, and status updates. Every chat support step that touches Slack can be handled by the AI agent.
Yes. You can run chat support workflows in test mode using sample Slack data before activating on live records. This lets you verify every chat support rule works correctly with your Slack setup before processing real data.
No coding required. The no-code builder walks you through connecting Slack and configuring chat support rules visually. Your team can set up, modify, and manage Slack-based chat support workflows without any developer involvement.
Manual chat support in Slack requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Slack events occur — running 24/7 with consistent accuracy and zero fatigue.
The dashboard shows chat support-specific metrics for your Slack integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Slack-triggered chat support workflows perform over time.
Arahi AI connects to Slack via one-click OAuth, then runs chat support workflows that read and write Slack data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Slack record without developer involvement.
Slack 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 Slack-adjacent work that genuinely needs human attention.
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