ElevenLabs has introduced Agent Templates on its ElevenAgents platform, offering pre-built conversational agent frameworks to simplify and accelerate the deployment of AI agents across organizations. These templates address common business needs, including customer support, onboarding, sales, feedback collection, and front desk operations. Each template comes with predefined system prompts, workflows, and integrations, allowing teams to customize and launch agents without starting from scratch.
Introducing Agent Templates - pre-configured ElevenAgents you can deploy across your business.
— ElevenLabs (@ElevenLabs) April 27, 2026
The best teams run agents across support, sales, and operations - value compounds with every use case. Choose from 50+ templates with predefined prompts, workflows, and integrations. pic.twitter.com/6JpcEoDpWg
The release is available to all ElevenLabs users through the ElevenAgents dashboard, making it accessible for businesses of varying sizes and across industries. Targeted primarily at teams responsible for customer experience, internal training, sales, and reception, the templates cover a range of use cases frequently requested by organizations adopting conversational AI.
Try Agent templates of ElevenLabs yourself!
Agent Templates offer technical features such as:
- Adaptable conversation flows
- Integration scaffolding for connecting with business tools
- Logic built for specific scenarios like lead qualification or appointment scheduling
Compared to building agents manually, these templates reduce setup time and minimize the trial-and-error phase often required for production-ready agents. In contrast to some competitor offerings, ElevenLabs delivers a broader selection of templates with detailed workflows and real-time deployment capabilities.
Early feedback from enterprise teams highlights the templates’ flexibility and reduced ramp-up time for deploying agents in live environments. ElevenLabs, known for its AI-powered voice and conversational tools, aims to streamline the creation of robust, scalable agents for both technical and non-technical users.
