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On Monday, ElevenLabs announced the introduction of a new feature aimed at enhancing communication between artificial intelligence (AI) agents in enterprise settings. This innovative functionality, termed Agent Transfer, facilitates the seamless transition of conversations from one AI agent to another under certain predefined conditions. Notably, the first agent shares previous conversation data with the second, enabling it to understand the context and continue the dialogue effectively. According to ElevenLabs, this advancement empowers businesses to create multiple AI agents, each with different areas of expertise, working in parallel.
ElevenLabs Introduces a New Agentic Feature
In a recent post on X (formerly Twitter), ElevenLabs detailed this new capability, which falls under the broader umbrella of Conversational AI. Agent Transfer allows for inter-agent communication and conversation sharing, currently available for enterprises. However, the company has yet to clarify whether this feature will be sold separately or integrated into existing service plans. Developers interested in implementing Agent Transfer can find guidance on a support page.
As organizations increasingly integrate AI agents into their workflows, the importance of preventing data silos becomes evident. Businesses seek solutions that allow data to be accessible across functionalities rather than being confined to specific areas. ElevenLabs aims to solve this issue by enabling agents to engage with one another and share necessary information.
With advancements in Conversational AI, seamless transfer of calls between agents is now possible.
This means different teams in a company can create specialized AI agents that operate concurrently, each equipped with its own knowledge base and specific toolset. pic.twitter.com/mlk3YRwy2p
— ElevenLabs (@elevenlabsio) April 21, 2025
The operational mechanics of Agent Transfer present an intriguing approach. For instance, if an AI agent encounters a situation where its knowledge base is insufficient to assist a human user, it may typically escalate the issue to a human agent or log the problem for later review. However, with Agent Transfer, the initial agent can seamlessly pass the conversation to another agent that possesses the relevant knowledge to assist effectively. The conversation history will be transferred as well, equipping the new agent with full environmental context.
A significant application of this system lies in the customer support sector. By leveraging specialized AI agents capable of addressing general inquiries, technical issues, or complaints, companies can streamline their operations and enhance user support, maximizing efficiency, as claimed by ElevenLabs.
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