Chat Support Automation on Front, Powered by AI
Run Chat Support on top of Front with an Arahi AI agent. Faster execution, fewer errors, zero manual busywork.
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 Front work for chat support automation?
Front 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 Front 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 Front
Authorize Front and Arahi AI syncs your lists, campaigns, and analytics data in minutes.
Build Campaign Automation
Create AI-driven workflows triggered by Front events — new subscribers, email opens, or campaign milestones.
Optimize & Measure
AI continuously optimizes your Front campaigns while tracking engagement, conversions, and ROI.
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 Front and Arahi AI during chat support processing is encrypted in transit and at rest. We use OAuth tokens for Front access, never store raw credentials, and maintain full audit logs of every chat support action.
Most users connect Front 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 define exactly which Front 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 Front.
Manual chat support in Front requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Front events occur — running 24/7 with consistent accuracy and zero fatigue.
Arahi AI connects natively with Front to handle the full chat support workflow. The AI agent monitors Front events, processes chat support tasks automatically, and writes results back to Front — no copy-pasting or tab-switching required.
The dashboard shows chat support-specific metrics for your Front integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Front-triggered chat support workflows perform over time.
Teams automating chat support through Front typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what Front-powered chat support automation delivers.
No coding required. The no-code builder walks you through connecting Front and configuring chat support rules visually. Your team can set up, modify, and manage Front-based chat support workflows without any developer involvement.
Arahi AI connects to Front via one-click OAuth, then runs chat support workflows that read and write Front data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Front record without developer involvement.
Front 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 Front-adjacent work that genuinely needs human attention.
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