AI Agent for Chat Support — Built for Storyblok
Automate Chat Support for teams using Storyblok. DeskFerry 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 DeskFerry inbox; once you tap it the agent will pick up where it left off (no re-training needed).
How does Storyblok work for Chat Support automation?
Storyblok 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 Storyblok 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 @Storyblok 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 @Storyblok in our brand voice
- 2Escalate the rest with full context to @Zendesk
How it connects
Connect Storyblok. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Storyblok with one click, and chat support runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- StoryblokConnect
- IntercomConnect
- ZendeskConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Storyblok + DeskFerry can do
Real Storyblok actions your AI agent can perform automatically — no manual work required.
Fetch Content Type Items (GraphQL)
Fetch multiple stories/content items using Storyblok's GraphQL API with filtering and pagination. Use starts_with with language code prefix (e.g., 'es/*', 'hi/*') to retrieve translated content in specific languages.
Fetch GraphQL Content Item
Tool to fetch a single story in a specific language using Storyblok GraphQL API with field-level translations. For each content type (e.g., Page), Storyblok generates a ContentTypeItem field (e.g., PageItem). Use when you need to retrieve a specific story by ID or slug with optional language translation.
Get Extension/App
Tool to retrieve a Storyblok extension/app by ID using the Management API. Use when you need to fetch details about a specific extension or app installed in Storyblok.
Get Datasource Entries
Tool to retrieve datasource entries from Storyblok via GraphQL API. Use when you need to fetch datasource data. Returns datasource entries with fields like id, name, value, and dimension_value.
Get GraphQL Rate Limit
Tool to retrieve rate limit information from Storyblok GraphQL API. Use when you need to check the maximum cost per request to calculate safe request rates (100 / maxCost = requests per second).
Get Page Item
Tool to retrieve a single page item by ID or slug from Storyblok using GraphQL. Use when you need to fetch specific page content with custom field selection. Supports both draft and published versions.
List GraphQL Content Type Items
Tool to retrieve multiple content items with pagination, filtering, and relation resolution for any Storyblok content type via GraphQL. Content types are dynamically generated as [ContentType]Items (e.g., PageItems, BlogArticleItems). Use when you need to query structured content with flexible field selection and filtering.
Query page items via GraphQL
Execute GraphQL queries to retrieve multiple page items from Storyblok with filtering options. Use when you need to fetch page content with filters like path prefix, publish date, or slug exclusions.
Retrieve Links via GraphQL
Tool to retrieve links for navigation using Storyblok's GraphQL API. Use when you need to fetch navigation links with their metadata (id, uuid, slug, name, published status).
Retrieve Tags via GraphQL
Tool to retrieve tags from Storyblok via GraphQL API. Use when you need to fetch available tags for content organization and filtering.
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 Storyblok
Authorize Storyblok and DeskFerry syncs your lists, campaigns, and analytics data in minutes.
Step 02
Build Campaign Automation
Create AI-driven workflows triggered by Storyblok events — new subscribers, email opens, or campaign milestones.
Step 03
Optimize & Measure
AI continuously optimizes your Storyblok campaigns while tracking engagement, conversions, and ROI.
Start automating Chat Support for Storyblok
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How does Storyblok data stay secure during Chat Support automation?
All data exchanged between Storyblok and DeskFerry during Chat Support processing is encrypted in transit and at rest. We use OAuth tokens for Storyblok access, never store raw credentials, and maintain full audit logs of every Chat Support action.
How long does it take to set up Chat Support automation with Storyblok?
Most users connect Storyblok 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 Storyblok events trigger Chat Support actions?
Yes. You define exactly which Storyblok 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 Storyblok.
Can the Storyblok Chat Support agent also work with other tools in my stack?
Yes. The Chat Support agent connected to Storyblok simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single Chat Support workflow can pull data from Storyblok, process it, and push results to multiple destinations.
What specific Chat Support tasks can the Storyblok integration automate?
The Storyblok integration automates end-to-end Chat Support — including data capture from Storyblok, validation, routing, follow-up actions, and status updates. Every Chat Support step that touches Storyblok can be handled by the AI agent.
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