AI Agent for Chat Support — Built for Cliengo
Automate Chat Support for teams using Cliengo. 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).
How does Cliengo work for chat support automation?
Cliengo works for chat support automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to Cliengo alongside the other apps your team already uses, watches for the triggers that matter for chat support, and takes the next step on its own while keeping a complete audit trail for review. AI handles common questions immediately, reducing wait times to zero for routine inquiries. Teams typically see instant around the clock once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
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 Your Cliengo Account
Authorize Cliengo via OAuth in one click. Arahi AI maps your contacts, deals, and custom fields automatically.
Set Up Sales Automation Rules
Define triggers — new lead, deal stage change, stale pipeline — and the AI actions to take in Cliengo.
Launch & Track Revenue Impact
Your AI agent starts working inside Cliengo. Track leads processed, deals influenced, and time saved 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
When the AI hits an edge case during chat support processing in Cliengo, it escalates to your team with full context — the Cliengo record, what was attempted, and why it needs review. Your chat support pipeline never stalls or loses data.
The chat support agent scales automatically as your Cliengo activity grows. Whether you process 10 or 10,000 chat support tasks per day from Cliengo, the AI handles the volume without slowdowns or additional configuration.
Yes. You define exactly which Cliengo 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 Cliengo.
All data exchanged between Cliengo and Arahi AI during chat support processing is encrypted in transit and at rest. We use OAuth tokens for Cliengo access, never store raw credentials, and maintain full audit logs of every chat support action.
The Cliengo integration maintains a persistent real-time connection for chat support automation with automatic retry logic and continuous monitoring. If Cliengo experiences downtime, queued chat support tasks process automatically once connectivity resumes.
Yes. You can run chat support workflows in test mode using sample Cliengo data before activating on live records. This lets you verify every chat support rule works correctly with your Cliengo setup before processing real data.
The Cliengo integration automates end-to-end chat support — including data capture from Cliengo, validation, routing, follow-up actions, and status updates. Every chat support step that touches Cliengo can be handled by the AI agent.
Manual chat support in Cliengo requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Cliengo events occur — running 24/7 with consistent accuracy and zero fatigue.
Arahi AI connects to Cliengo via one-click OAuth, then runs chat support workflows that read and write Cliengo data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Cliengo record without developer involvement.
Cliengo 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 Cliengo-adjacent work that genuinely needs human attention.
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