Voice AI Agent
Following on from the RAG AI with Tesla Inc, I was interested in combining this with the advancements in Voice LLMS to build a helpful call agent. Able to support customers in their telephone queries and book in meetings from further discussion. This was delivered with Aplisay's brilliant voice AI offering, able to combine LLMs with telephony numbers.
Explanation
This demonstration showcases a powerful use case for Voice LLMs (Large Language Models) integrated with retrieval and action tools, offering transformative potential for businesses. By combining the retrieval tool with the Voice LLM, businesses can provide 24/7 conversational agents capable of accessing detailed, real-time information and responding to user queries with precision. This ensures that customers always receive accurate and timely support, whether it's about complex product details, services, or FAQs.
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The addition of a "Meeting Booking" tool further elevates the functionality, allowing the Voice LLM to seamlessly schedule meetings, send confirmation emails, or even integrate with calendar APIs to handle end-to-end meeting logistics. This eliminates the need for manual intervention, streamlines processes, and improves customer satisfaction.
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By passing the user's name and email, we can create a hyper-personalised experience for every interaction. The Voice LLM can use this data to access previous interactions, preferences, or purchase history, enabling it to provide tailored recommendations, address users by name, and pre-fill meeting details. This level of personalisation enhances customer satisfaction, builds trust, and strengthens brand loyalty.
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The impact on businesses is profound: these AI-powered agents reduce operational costs by handling high volumes of calls and inquiries autonomously, while enhancing customer experience with their availability and efficiency. Whether assisting with lead generation, providing product or service support, or booking consultations, this technology empowers businesses to scale their customer interactions without compromising quality or response time.
Test the Demo
Please have a go on the demo!
Start by entering you name and email below and hit the green button. This will deploy an agent on a mobile number that will display in the black box. You will then be able to call the agent deployed on the number provided from your phone.The agent is configured with high level information on Tesla vehicles such as range, capacity and cost. Once you've exhausted (pardon the pun) your questions try book in a meeting with the helpful agent, this will deliver the booking to the email provided.
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Example Questions:
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Hopefully goes without saying, but this is in no way linked with Tesla.
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Please tell me about the Tesla model Y?
What is the range on a Tesla model 3?
Can we book a meeting to discuss further?
I'd like to book a meeting on 17th January at 2pm
User Details:
Agent Offline
AgentID
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05:00
Call Timer:
Aplisay is a technology company that makes it simple to prototype, build, and debug conversational AI interactions using a free playground with support for major LLMs. Their platform-agnostic approach allows seamless switching between AI vendors and speech models, enabling developers to fine-tune AI for any application without modifying code. Committed to sovereignty and openness, Aplisay ensures that agents and data remain entirely under the user's control, while leveraging open-source components for maximum flexibility.
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Website: https://aplisay.com