STEP 1
Select Relevance AI in workflow
Pick Relevance AI app in the workflow builder [4] - just one click to select the app.
Relevance AI Integration
Platform for building and running AI agents, tools, and workflow automations. Connect Relevance AI to the rest of your stack so AI outputs can trigger real workflow actions. Start with Get Conversation Messages, then use Make an API Call or Send a Message to Conversation to turn results into useful next steps.
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Supported triggers and actions for Relevance AI integration
Triggers can detect changes in Relevance AI and run actions that can create, search or modify data inside Relevance AI automatically [3] — exactly how you set them.
- Get Conversation MessagesRetrieves messages from an existing conversation.
- Make an API CallPerforms an arbitrary authorized API call.
- Send a Message to ConversationSends a message to an existing conversation.
- Start a New ConversationSends a message to an agent to start a new conversation.
How to integrate Relevance AI in automation workflow?
3 simple steps to make your Relevance AI connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.
STEP 2
Connect Relevance AI
When prompted, authorize access to Relevance AI in WEXTL once. Relevance AI credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].
WEXTL wants to integrate with your Relevance AI account. Approve?
STEP 3
Build a workflow
Build your workflow with Relevance AI yourself or with WEXTL® AI Builder. Connect Relevance AI to any available integrations [5], or use HTTP node to go beyond them.
Relevance AI
How Relevance AI connects and integrates with WEXTL
Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever Relevance AI app is called in workflows. That allows your ai automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that Relevance AI supports.
The following table illustrates what fields Relevance AI integration require during authorization flow inside our workflow builder [4].
Connect Relevance AI
API Key*Text
••••••••
Project*Text
••••••••
Demonstration of Relevance AI connection step inside WEXTL Workflow Builder [4].
| Field | Type | Help |
|---|---|---|
API KeyRequired | text | The API key for authentication. You can obtain API Key at Integrations Page. |
ProjectRequired | text | The name or ID of the project. |
RegionRequired | text | The region where the project is located. |
Agent IDRequired | text | Currently, the easiest way to access Agent Ids is from URLs. For instance, when on the |
Connect Relevance AI to popular apps on WEXTL
Enter a name of the other app you want to sync with Relevance AI below. Click on selected app to explore integration options with Relevance AI. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.
Example automation with Relevance AI integration
Select Get Conversation Messages action from Relevance AI - this will be a starting point in your automation. Whenever event happens in Relevance AI, workflow will start [7] from Get Conversation Messages node.
Search for Start a New Conversation, connect it as the next step of integration sequence. You can use filters between Get Conversation Messages and Start a New Conversation, so only important data pass from Get Conversation Messages to the next step. WEXTL gives you full control over the process of Relevance AI automation. All parts of workflow are visible on the canvas [4].
Relevance AI on WEXTL has 4 modules for combining ai automations. Explore Relevance AI documentation for more.
Video slide demonstrates how Get Conversation Messages and Start a New Conversation [6] nodes are used in Relevance AI workflow.
Frequently asked questions
Common questions about automating Relevance AI in your workflows.
Relevance AI has no triggers, but it provides 4 actions including "Get Conversation Messages", "Make an API Call", and "Send a Message to Conversation". Pair them with triggers from other apps to automate Relevance AI tasks.
Integration has 4 actions, including "Get Conversation Messages", "Make an API Call", and "Send a Message to Conversation", and more. Refer to our Relevance AI Documentation for detailed inputs and outputs.
No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].
Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.
The Relevance AI integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by Relevance AI official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.
Absolutely. Where Relevance AI provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever Relevance AI or any other service sends event to webhook URL.
WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for Relevance AI inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with Relevance AI modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.
References
List of sources used to gather information about the Relevance AI integration.
- Relevance AI integration source code, module specs and credentials implementation.
- Internal Relevance AI integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official Relevance AI vendor API documentation — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® Visual Workflow Builder, anonymized data from our technical support team.
- WEXTL® Apps Library
- WEXTL® Relevance AI App Documentation
- WEXTL® Workflow Scheduler
- WEXTL® HTTP node documentation