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Flint AI Assistant
Let Flint handle repetitive customer requests for you.
About this app
Flint is an autonomous AI agent for Zendesk that reads incoming requests, decides what to do, and responds on its own — with enterprise-ready security and compliance support built in.
Handles repetitive support requests automatically
Pulls from ticket context, your knowledge, and connected sources
Lets you review and improve responses through feedback
Helps agents work faster by suggesting replies, next steps, and translations when needed
What Flint Does
Reads each ticket and understands what the customer is asking
Pulls from connected docs, help content, and backend tools like Shopify, Magento, and other API-connected systems
Reduces repetitive ticket handling for agents
Lets you refine future responses with simple prompt instructions
Helps agents work faster with reply suggestions, next steps, and translations when needed
Grounds each reply in connected knowledge and available data
Keeps responses more consistent across similar tickets
What That Unlocks
Faster first responses
More consistent answers across the team
Less repetitive manual work for agents
Easier scaling for repetitive support flows
Better team productivity
Lower support costs as volume grows
Better customer experience
Customer-service best practices built in
Stronger data security and compliance support (GDPR, ISO 9001, ISO 27001)
How It Works
A customer request comes in
Flint reads the ticket context and surrounding details
It checks connected knowledge, docs, and backend systems
It determines the best response for that type of request
It replies to the customer automatically
If needed, you can refine future behavior with one prompt
Flint applies that guidance to similar requests going forward
If it cannot solve the ticket, it escalates to an agent
Common Use Cases
Handle repetitive customer questions automatically
Answer support requests using connected knowledge and backend data
Refine tone, structure, and response rules with simple prompts
Support agents with suggestions, next steps, and translations when needed
Set it up, connect your knowledge and systems, and let Flint handle repetitive requests while your team focuses on the exceptions.
Data Disclosure
Data accessed from your Zendesk account:* Agent profile: name, email, role, user ID* Ticket data: subject, description, status, field values, comments (cached up to 24 hours)* Help Center articles: title, body, section, category (indexed as embeddings)* Webhooks: list, create, update
Data sent to third parties:* OpenAI — messages and ticket context for AI inference. OpenAI does not train on API inputs.* Google Gemini — messages and ticket context for AI inference. Gemini does not train on API inputs.* Stripe — agent email, display name, token usage counts for billing.
Data we do not collect: End-user personal data is not stored. Ticket text is processed transiently and not retained beyond 24 hours.
Retention: Auth tokens expire within 24 hours. Chat threads deleted after 24 hours. Help Center embeddings retained until deleted via app settings.
Detalles de la aplicación
Cómo instalar
Getting Started with Flint AI Assistant
Step 1 — Install
Click the Install button on this page and confirm the installation on your Zendesk Support account.
Step 2 — Choose a plan
After installation, open the app and select the plan that fits your team. A free trial is available.
Step 3 — Describe your business
In the Agent tab, add a short description of your company and what your support team handles. This context shapes how Flint responds to customers.
Step 4 — Add knowledge sources
Go to the Data Stores tab and connect your content: paste a Zendesk Help Center URL, upload PDFs, or link other sources. Flint will index them and use them to ground every response.
Step 5 — Enable automatic responses
Go to the Triggers tab and follow the instructions to create a Zendesk trigger that sends new tickets to the Flint webhook. Once the trigger is active, Flint will automatically reply to incoming tickets in the background. Use the Chat tab to test responses before going live, and the Agent tab to refine tone and behavior at any time.
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