Traditional AI-powered voice assistants are useful for answering questions and holding conversations, but they often fall short when it comes to executing helpful tasks, which is why ElevenLabs created 11ai. Described as "the voice-first AI assistant that takes action," 11ai combines ElevenLabs Conversational AI technology with the Model Context Protocol (MCP.)
With 11ai, users can enhance their daily workflow with the power of their voice, simply by saying something like "Catch me up on yesterday's Slack messages in the engineering channel."
ElevenLabs Conversational AI now has built-in support for MCP so that AI agents connect to services like Salesforce, HubSpot, Gmail, and Zapier, and out-of-the-box integrations are provided for Linear, Notion, Perplexity and more. Notably, 11ai only has access to specific, authorized actions so that users stay in control of what their AI assistant can and can't do.
What Makes This Trend Stand Out
- Voice-activated Task Automation
- Voice-activated task automation streamlines workflows by seamlessly integrating AI assistants with business applications for more efficient task execution.
- Context-aware AI Integration
- Context-aware AI integration enhances user interaction by enabling AI assistants to understand and execute tasks based on the user's specific context.
- Secure AI Functionality Control
- Securing AI functionality control ensures that users maintain oversight over AI assistant capabilities, fostering trust and flexibility in digital interactions.
Sectors Adopting This
- Conversational AI
- The conversational AI industry is reshaping how users interact with technology by employing advanced voice command features that drive task execution.
- Business Process Automation
- Business process automation benefits from the integration of AI systems that enable voice-driven workflows, optimizing operational efficiencies.
- Customer Relationship Management (CRM)
- CRM solutions are evolving with AI assistants that enhance customer interactions by automating responses and data-driven task management.
