Connect Make to ElevenLabs Conversational AI Voice Agents
Empower your AI voice agents to orchestrate complex workflows across any system through natural conversation
Let your AI Voice Agents orchestrate workflows with Make
Transform your conversational AI into a powerful automation engine that can interact with any system, retrieve real-time data, and execute complex workflows—all through natural voice conversations. The Make + ElevenLabs integration seamlessly connects your AI voice agents with Make's library of thousands of app connectors, enabling end-users to trigger sophisticated processes simply by speaking.
Your voice agents can now leverage Make's orchestration power to query databases, update CRM records, process payments, schedule appointments, and perform multi-step actions across your entire tech stack. Whether a customer asks "What's the status of my order?" or "Reset my password," your AI agent instantly invokes the right Make workflow, retrieves the necessary information, and responds with contextual results—all in real-time during the conversation.
Key Benefits for AI Voice Agent Platforms:
- Real-time workflow execution during live conversations
- Universal system connectivity through Make's extensive connector library
- No-code automation setup that developers can implement and business teams can maintain
- Context-aware responses powered by live data retrieval
- Scalable voice automation without proportional infrastructure complexity
Features
Integrations features
Overview of what your AI voice agents can accomplish with Make integration
Real-Time Workflow Orchestration
- Execute complex multi-step workflows instantly during voice conversations
- Maintain conversation flow while performing background system operations
- Support for both synchronous and asynchronous workflow execution
- Developer benefit: Build sophisticated voice experiences without backend complexity
Universal System Connectivity
- Connect to thousands of apps and services through Make's connector library
- Support for REST APIs, webhooks, and custom integrations
- Legacy system integration capabilities through HTTP connectors
- Developer benefit: Integrate with any system your clients use without building individual connectors
Context-Aware Data Retrieval
- Pass conversation context and user data to workflows dynamically
- Retrieve relevant information based on user identity and conversation history
- Support for complex queries across multiple data sources
- Developer benefit: Build personalized voice experiences that leverage real-time data
Secure Authentication & Credential Management
- Enterprise-grade security with encrypted credential storage
- Support for OAuth, API keys, and custom authentication methods
- Granular permission controls for different workflow types
- Developer benefit: Implement secure integrations without handling sensitive credentials
Low-Latency Performance
- Optimized for real-time conversation requirements
- Cached connection pooling for frequently accessed systems
- Async processing for non-blocking workflow execution
- Developer benefit: Maintain natural conversation flow with sub-second response times
Installation
Installation guides
Overview of setup process and available resources
Step 1: Make Scenario Setup
- Access your Make dashboard and create a new scenario
- Add Webhooks > Custom webhook as the trigger module
- Copy the webhook URL provided by Make
- Add your workflow modules (apps, routers, filters)
- Configure the final module to return formatted data
Step 2: ElevenLabs Agent Configuration
- Navigate to Settings > Secrets Manager in ElevenLabs
- Create new secret named MAKE_WEBHOOK_URL with your webhook URL
- If using authentication, create MAKE_API_KEY secret
- Configure webhook tools for your Make scenarios
Step 3: Create Automation Tools
Trigger Make Scenario Tool
- Name: trigger_make_automation
- Method: POST
- URL: Paste your Make webhook URL
- Add any authentication headers if configured in Make
- Define input parameters your scenario expects
Configure Dynamic Parameters
- Set up fields that map to your Make scenario inputs
- Define data types and validation rules
- Add descriptions for each parameter
- Test with sample data
Step 4: Agent Prompt Configuration
Add automation triggers to your agent's system prompt:
You have access to Make automations for complex workflows:
- Use trigger_make_automation when users need multi-app processes
- Pass conversation data as scenario parameters
- Wait for Make to process and return results
- Present automation results in natural language
Define automation triggers:
- Cross-application data synchronization
- Document generation and processing
- Multi-step approval workflows
- Complex calculations or transformations
Troubleshooting
Troubleshooting & support
Common issues, solutions, and support resources