User providing verbal status
AI Models & Assistants / Knowledge library
Voice Agents
AI agents using speech, audio and conversation channels
Why learn Voice Agents?
Useful for contact centers, accessibility, tutoring, healthcare workflows and other scenarios where audio is the natural interface.
Where it came from
Voice agents combine speech recognition, speech generation, dialogue handling and integrations to automate spoken customer or user interactions.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Summarize the official positioning for Voice Agents in one paragraph.
- Identify the buyer, developer, or user workflow Voice Agents is built for.
- Compare Voice Agents with a neighboring catalog topic and name the boundary.
- List two implementation risks or adoption questions for Voice Agents.
- Design a five-question evaluation that would test whether someone understands Voice Agents.
Documentation and sources
- ElevenLabs about page (elevenlabs.io)
Catalog research notes
- Research snapshot: September 20, 2026. This entry summarizes the linked public documentation and should be refreshed before making version-specific claims.
Connect the ideas
Built on
Enables
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Real World Example
Automated Logistics Dispatch Voice Agents
Logistics and delivery companies managing high-volume driver communications.
The business problem
Dispatchers are overwhelmed by routine driver check-ins, leading to long hold times and delayed route updates.
How this topic solves it
Deploying ElevenAgents to handle real-time voice interactions, allowing drivers to report status updates via natural speech while the agent updates the backend system.
- Define the conversational workflow for driver status reporting.
- Configure the ElevenAgents platform to integrate with existing logistics databases.
- Implement Speech to Text to transcribe driver audio inputs.
- Utilize Text to Speech to provide real-time, emotive confirmation of status updates.
- Monitor agent performance and reliability through the platform dashboard.
The flow of data between the driver, the voice agent, and the logistics system.
Transcription engine
Conversational logic core
System of record
Audio synthesis engine
- Driver → Audio Input → Speech to Text
- Speech to Text → Text Payload → ElevenAgents
- ElevenAgents → Update Status → Logistics DB
- ElevenAgents → Response Text → Text to Speech
- Text to Speech → Audio Output → Driver
Expected business outcome
Reduced manual workload for dispatchers and faster, more accurate data entry for logistics operations.
Limitations and checks
Latency in speech processing can cause awkward pauses during high-speed network conditions; verify this by testing round-trip audio response times.