Run Chat Support on Fauna — AI Agent
Already on Fauna? Add a DeskFerry 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 DeskFerry 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 a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
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.
- 02
Answer live @Intercom chats using @Fauna in our brand voice
AI handles common questions immediately, reducing wait times to zero for routine inquiries.
- 03
Escalate the rest with full context to @Zendesk
Teams typically see instant around the clock once the agent is in production.
- 04
You approve
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.
How you tell it what to do
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.
- 1Answer live @Intercom chats using @Fauna in our brand voice
- 2Escalate the rest with full context to @Zendesk
How it connects
Connect Fauna. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Fauna with one click, and chat support runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- FaunaConnect
- IntercomConnect
- ZendeskConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Fauna + DeskFerry can do
Real Fauna actions your AI agent can perform automatically — no manual work required.
Insert new records
Create new entries in Fauna collections or tables when triggered by events in connected applications.
Update existing records
Modify field values on existing records in Fauna based on incoming data changes or workflow outcomes.
Query and filter data
Search Fauna for records matching specific criteria and pass the results to downstream workflow steps.
Delete or archive records
Remove outdated or duplicate records from Fauna based on retention rules or cleanup triggers.
Sync records across systems
Keep records in Fauna synchronized with external databases and applications using field-level mapping.
Validate data integrity
Run validation checks on records in Fauna to flag missing fields, format errors, or duplicate entries.
Aggregate and summarize
Compute counts, averages, and totals across records in Fauna and push the results to reporting tools.
Trigger workflows on changes
Watch for new, updated, or deleted records in Fauna and kick off automated workflows in response.
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your DeskFerry 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.
Human in the loop
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.
Governance
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.
How it works
Get started in three steps
Step 01
Connect Your Fauna Database
Authorize Fauna with secure credentials. DeskFerry maps your schema and tables automatically.
Step 02
Configure Data Sync Rules
Define which Fauna records trigger AI actions — new rows, updates, or scheduled queries.
Step 03
Automate & Validate
AI keeps Fauna data clean, synchronized, and flowing to downstream apps. Monitor sync health in real-time.
Start automating Chat Support for Fauna
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
Can I test Chat Support automation with Fauna before going live?
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.
How long does it take to set up Chat Support automation with Fauna?
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.
Can I customize which Fauna events trigger Chat Support actions?
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.
Can the Fauna Chat Support agent also work with other tools in my stack?
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.
What ROI can I expect from automating Chat Support with Fauna?
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.
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