Run Chat Support on Fauna — AI Agent
Already on Fauna? Add an Arahi AI agent for Chat Support and save hours every week without writing code.
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 Fauna work for chat support automation?
Fauna 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 Fauna 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 Fauna Database
Authorize Fauna with secure credentials. Arahi AI maps your schema and tables automatically.
Configure Data Sync Rules
Define which Fauna records trigger AI actions — new rows, updates, or scheduled queries.
Automate & Validate
AI keeps Fauna data clean, synchronized, and flowing to downstream apps. Monitor sync health in real-time.
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
Yes. You can run chat support workflows in test mode using sample Fauna data before activating on live records. This lets you verify every chat support rule works correctly with your Fauna setup before processing real data.
Most users connect Fauna 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 Fauna 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 Fauna.
Yes. The chat support agent connected to Fauna simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single chat support workflow can pull data from Fauna, process it, and push results to multiple destinations.
Teams automating chat support through Fauna 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 Fauna-powered chat support automation delivers.
The chat support agent scales automatically as your Fauna activity grows. Whether you process 10 or 10,000 chat support tasks per day from Fauna, the AI handles the volume without slowdowns or additional configuration.
The Fauna integration automates end-to-end chat support — including data capture from Fauna, validation, routing, follow-up actions, and status updates. Every chat support step that touches Fauna can be handled by the AI agent.
The Fauna integration maintains a persistent real-time connection for chat support automation with automatic retry logic and continuous monitoring. If Fauna experiences downtime, queued chat support tasks process automatically once connectivity resumes.
Arahi AI connects to Fauna via one-click OAuth, then runs chat support workflows that read and write Fauna data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Fauna record without developer involvement.
Fauna 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 Fauna-adjacent work that genuinely needs human attention.
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