Tom Shapland, cofounder of Canonical AI, discusses the advancements and challenges of LLM-based Voice AI, highlighting their ability to understand caller intent and resolve issues, while introducing their solution to improve agent reliability through metrics and analytics.
LLM (Large Language Model) architecture
2024-10-18
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Highlight 1
Excellent performance in understanding caller intent, leading to faster issue resolution.
Highlight 2
Provides robust analytics for developers, facilitating improvements without the need for extensive manual call listening.
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Flexible framework that allows for quick onboarding of customers and swift iteration on Voice AI agents.
Improvement 1
The platform could benefit from a more user-friendly dashboard for data visualization and insights.
Improvement 2
Integration with additional tools or APIs could expand functionality and improve interoperability.
Improvement 3
Enhanced documentation and onboarding materials for developers to streamline the learning curve.
Product Functionality
Consider adding real-time monitoring and alert functionalities to immediately notify developers about anomalies in call performance or user interactions.
UI & UX
Simplify the user interface to make navigation intuitive, and enhance data visualization features to facilitate insights into performance metrics.
SEO or Marketing
Enhance marketing efforts by using case studies and testimonials from existing customers to showcase the effectiveness of the product.
MultiLanguage Support
Implement multi-language support to cater to a broader audience and enable developers to build Voice AI agents that can interact in various languages.
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What is the main advantage of using LLM-based Voice AI agents?
LLM-based Voice AI agents understand caller intent better than traditional rule-based systems, allowing them to resolve issues more effectively without human escalation.
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How does Canonical AI help improve Voice AI agents?
Canonical AI maps caller journeys and provides essential audio and conversational metrics, helping developers identify and rectify performance issues proactively.
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Who can benefit from using this product?
Voice AI developers and businesses looking to enhance their customer service capabilities while reducing reliance on human agents can benefit from Canonical AI's platform.