If you're using Zendesk to handle customer support, you've probably heard about their AI agents. But there's a difference between the basic AI that comes with your Suite plan and the advanced conversation flow builder that lets you create sophisticated, scripted dialogues. Let's break down what the conversation flow builder actually does, how to use it, and whether it's worth the investment for your team.
Understanding the dialogue builder interface
The dialogue builder is designed to be visual and intuitive. You don't need to write code or understand scripting languages to build complex conversation flows.
The workspace gives you a canvas where you can pan and zoom to navigate larger flows. Each conversation is built from blocks that you connect together, creating branching paths based on customer responses.
Every dialogue links to a specific reply, which connects to a use case. This structure helps you organize your AI agent's capabilities around specific customer intents. If a customer asks about refunds, that triggers the refund use case, which routes to your refund reply, which runs your refund dialogue flow.
Version history is built into the interface. You can save drafts, publish changes, and roll back to previous versions if something breaks. This is especially useful when multiple team members are working on the same flows.
Testing happens right in the builder. You can run through your dialogue step-by-step to see how it handles different customer inputs before pushing it live.
Block types and their capabilities
The conversation flow builder gives you several block types, each serving a different purpose in the customer journey.
AI agent message blocks
These are scripted messages your AI agent sends to the customer. Unlike generative replies (which pull from your knowledge base), these are pre-written responses you control completely.
The block supports HTML and Markdown formatting if you've activated rich messaging. This lets you include links, formatting, and structured content in your responses.
When should you use scripted messages versus generative replies? Scripted works best when you need precise control over the response, like compliance language or specific escalation messages. Generative replies work better for general knowledge questions where the exact wording matters less than the accuracy of the information.
Customer message blocks
This is where you capture customer input and define how the flow branches based on their response. You might ask "Are you looking to track an order or request a refund?" and create separate paths for each option.
There are limitations to keep in mind. A customer message block cannot be the first block in a dialogue, and you cannot chain two customer message blocks consecutively. The flow needs an AI agent message between customer inputs.
Generative replies blocks
Instead of scripting a response, you can let the AI generate one based on your connected knowledge sources. This reduces maintenance because you don't need to update the dialogue every time your help center content changes.
This block type works well for informational queries where the customer just needs an answer, not a specific workflow.
Conditional blocks
Conditional logic lets you personalize responses based on parameters and segments. For example, you might check if the customer is a VIP before deciding whether to offer a discount or escalate immediately.
You can build "if this, then that" rules that check customer data, conversation context, or external parameters to determine which path the conversation takes.
Integration and action blocks
The API integration block connects to external services to retrieve information during a conversation. You might pull order status from your e-commerce platform, check inventory, or validate a customer's account.
Carousel blocks display up to 10 options with visual cards, useful for product recommendations or menu-style navigation.
Link to blocks let you pass customers between different dialogues. Instead of building the same escalation flow into every dialogue, you build it once and link to it from multiple places.
Escalation and availability blocks
Escalation blocks define how conversations transfer to human agents, including what message the customer sees and which channel (messaging or email) to use.
Availability blocks check your business hours before proceeding, so you can set different expectations for customers contacting you outside operating hours.
Building your first conversation flow
Getting started with the conversation flow builder requires some setup. You'll need a Zendesk Suite Professional or Enterprise plan, plus the AI Agent Advanced add-on.
Here's how to create your first flow:
Step 1: Navigate to AI agents - Advanced and select the agent you want to work with.
Step 2: Click Content in the sidebar, then select Use cases. Choose or create the use case you want to build a dialogue for.
Step 3: Select the Replies tab and click Add reply. This opens the dialogue builder.
Step 4: Start with an AI agent message block for your greeting. Add customer message blocks to capture input, then branch based on responses.
Step 5: Add actions or integrations where needed. If you're building an order lookup flow, you might add an API integration block to fetch order details.
Step 6: Click Test dialogue to run through your flow before publishing. Fix any issues the validation highlights.
Step 7: When ready, click Publish to make your dialogue live.
Best practices for effective conversation flows
Building flows that actually help customers requires more than just connecting blocks. Here are some practices that make a difference:
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Echo the user's issue back to them. Starting with "I understand you want to cancel your account" reduces confusion if the AI matched to the wrong intent.
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Keep flows focused on single intents. The system works best when each dialogue handles one specific use case thoroughly rather than trying to handle everything.
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Use generative replies for knowledge questions. Don't build complex flows to specific articles when a generative reply can pull the answer automatically.
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Create reusable escalation flows. Build one escalation dialogue and link to it from other flows instead of recreating the same escalation steps everywhere.
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Leverage conditional logic for personalization. Use customer data to tailor responses rather than treating every customer the same.
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Test thoroughly before publishing. Run through every branch of your dialogue with different inputs to catch edge cases.
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Plan for iteration. Your first version won't be perfect. Build in feedback mechanisms and review conversation logs regularly.
Before you go live, consider testing your flows against real historical data. Our AI agent simulation lets you run thousands of past tickets through your setup to see how it would have performed. This catches issues before customers see them.
Understanding the investment
The conversation flow builder isn't included with standard Zendesk plans. You'll need Suite Professional ($115 per agent/month billed annually) or Enterprise ($169 per agent/month), plus the AI Agent Advanced add-on.
Zendesk doesn't publish specific pricing for the Advanced add-on. You'll need to contact sales for a quote based on your volume and use case.
Here's how the tiers compare:
| Feature | Essential | Advanced |
|---|---|---|
| Generative AI Replies | Yes | Yes |
| Conversation Flows | No | Yes |
| Multiple Content Sources | No | Yes |
| Instructions | No | Yes |
| API Integrations | No | Yes |
| Languages Supported | 30 (auto-translated) | 79+ (manual) |
The investment makes sense when you're handling enough volume that automation savings outweigh the costs. If your team spends significant time on repetitive, process-driven inquiries that follow predictable patterns, the Advanced tier can pay for itself through reduced agent workload.
Zendesk reports that mature deployments achieve up to 80% automated resolution rates. Your mileage will vary based on the complexity of your use cases and quality of your knowledge base.
Enhancing your Zendesk flows with eesel AI
Zendesk's conversation flow builder is powerful for structured processes, but it has limitations. The AI draws primarily from your help center articles, and setting up complex integrations requires technical work with Sunshine Conversations.
This is where we can help. eesel's Zendesk integration connects directly to your Zendesk instance and a broader set of knowledge sources, giving your AI access to context that lives outside your help center. eesel AI integrates directly with your Zendesk instance while connecting to a broader set of knowledge sources:
- Confluence and internal wikis
- Google Docs and Drive
- Slack conversations
- Your historical ticket data
Instead of replacing your Zendesk setup, we work alongside it. You can use our simulation mode to test how an AI would handle your past tickets before going live, giving you data on expected resolution rates and identifying gaps in your knowledge base.
For teams already using Zendesk AI Agent Advanced, we provide a way to leverage institutional knowledge that lives outside your help center. For teams considering the investment, we offer a way to test AI automation before committing to Zendesk's Advanced tier.
Learn more about how we complement Zendesk in our practical guide to Zendesk advanced AI conversation flows, or check our pricing to see how we compare.
