Run Chat Support on Fibery — AI Agent
Already on Fibery? 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 Fibery work for Chat Support automation?
Fibery 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 Fibery 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 @Fibery 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 @Fibery in our brand voice
- 2Escalate the rest with full context to @Zendesk
How it connects
Connect Fibery. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Fibery with one click, and chat support runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- FiberyConnect
- IntercomConnect
- ZendeskConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Fibery + DeskFerry can do
Real Fibery actions your AI agent can perform automatically — no manual work required.
Delete Custom App Endpoint
Tool to delete a specific custom app endpoint. Use after confirming the app and endpoint IDs to remove.
Delete Entity
Tool to delete a specific Fibery entity by its ID. Use when you have verified the entity exists and have its GUID. Deletion is irreversible.
Delete File
Tool to delete a specific file. Use when you need to remove a file from Fibery by its ID.
Execute GraphQL Query
Tool to execute GraphQL queries or mutations against a Fibery space. Use when you need to fetch or modify Fibery data via the GraphQL API.
Get App Information
Tool to retrieve application information. Use when you need the version, name, description, authentication methods, and available data sources before further operations.
Get Custom App Endpoints
Tool to list custom app endpoints. Use when you need the available custom endpoints for a given app before invoking them.
Get Custom Apps
Tool to list all custom apps in the Fibery workspace. Use when you need the identifiers of all custom apps.
Get Entities
Tool to query Fibery entities. Use after specifying type and fields; supports optional filters and pagination.
Get Fibery Entity
Tool to retrieve detailed info of a specific Fibery entity by its ID. Uses Fibery Commands API (fibery.entity/query) filtered by fibery/id with q/limit = 1.
Get File
Tool to retrieve a file by its secret or id. Prefer the file secret to download raw bytes. Returns the file content, MIME type, and original filename if available.
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 Fibery
Authorize Fibery and DeskFerry hooks into your issues, repos, and deployment pipelines.
Step 02
Configure Dev Workflows
Define triggers for Fibery events — new issues, PR merges, build failures — and the AI actions to take.
Step 03
Ship Faster with Less Toil
AI automates the tedious parts of your Fibery workflow. Track issues triaged, alerts handled, and developer time saved.
Start automating Chat Support for Fibery
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
What specific Chat Support tasks can the Fibery integration automate?
The Fibery integration automates end-to-end Chat Support — including data capture from Fibery, validation, routing, follow-up actions, and status updates. Every Chat Support step that touches Fibery can be handled by the AI agent.
How long does it take to set up Chat Support automation with Fibery?
Most users connect Fibery 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 run multiple Chat Support workflows with different Fibery triggers?
Yes. You can create parallel Chat Support workflows that respond to different Fibery events or conditions. For example, one Chat Support flow for new Fibery records and another for updated ones — each with independent rules and actions.
Can I test Chat Support automation with Fibery before going live?
Yes. You can run Chat Support workflows in test mode using sample Fibery data before activating on live records. This lets you verify every Chat Support rule works correctly with your Fibery setup before processing real data.
Can the Fibery Chat Support agent also work with other tools in my stack?
Yes. The Chat Support agent connected to Fibery simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single Chat Support workflow can pull data from Fibery, process it, and push results to multiple destinations.
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