Run Document Review on Storyblok — AI Agent
Already on Storyblok? Add a DeskFerry agent for Document Review and save hours every week without writing code.
MSA reviewed. 4 deviations flagged · summary in the legal queue:
Customer
“Pls review attached MSA before Thursday — same terms as last time except we tightened the indemnity clause and added a data-residency requirement.”
Agent draft · in your tone
Reviewed. Three substantive changes vs. our template: (1) indemnity cap raised to 2× fees — recommend pushing back to 1×; (2) EU data-residency clause is acceptable; (3) auto-renewal language is one-sided — proposed redline attached.
How does Storyblok work for Document Review automation?
Storyblok works for Document Review 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 Document Review, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Read the inbound MSA from Northwave with @Storyblok
AI analyzes contracts and documents in minutes instead of hours, surfacing key clauses and risks.
- 03
Flag deviations from our standard terms
Teams typically see hours → Minutes with flags for attorney attention once the agent is in production.
- 04
Draft a redline
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.
- 05
You approve
Anything under your confidence bar waits for a human.
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.
- 1Read the inbound MSA from Northwave with @Storyblok
- 2Flag deviations from our standard terms
- 3Draft a redline
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 document review runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- StoryblokConnect
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.
Reviewed. Three substantive changes vs. our template: (1) indemnity cap raised to 2× fees — recommend pushing back to 1×; (2) EU data-residency clause is acceptable; (3) auto-renewal language is one-sided — proposed redline attached.
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.
- Northwave Procurement9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket Doc · Northwave-MSA-v3.
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 Doc · Northwave-MSA-v3 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 Document Review for Storyblok
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
What specific Document Review tasks can the Storyblok integration automate?
The Storyblok integration automates end-to-end Document Review — including data capture from Storyblok, validation, routing, follow-up actions, and status updates. Every Document Review step that touches Storyblok can be handled by the AI agent.
Can I run multiple Document Review workflows with different Storyblok triggers?
Yes. You can create parallel Document Review workflows that respond to different Storyblok events or conditions. For example, one Document Review flow for new Storyblok records and another for updated ones — each with independent rules and actions.
How does Document Review automation scale with increased Storyblok volume?
The Document Review agent scales automatically as your Storyblok activity grows. Whether you process 10 or 10,000 Document Review tasks per day from Storyblok, the AI handles the volume without slowdowns or additional configuration.
How does Storyblok data stay secure during Document Review automation?
All data exchanged between Storyblok and DeskFerry during Document Review 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 Document Review action.
What types of documents can the Document Review agent review for Storyblok?
The agent reviews contracts, leases, policies, regulatory filings, and the storyblok-specific documents your team handles daily — extracting key clauses, flagging non-standard terms, and surfacing risks against your standards library.
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