Canonical AI
Analytics for Your Voice AI Agent
Free 366 Views Update:
What is Canonical AI ?
We help Voice AI developers improve their agents. We map caller journeys. We show you where and why callers are dropping off. We provide audio metrics (i.e., latency) and conversational metrics (i.e., query for cases where callers ask for a representative).
What is the usage scenario of Canonical AI ?
- Monitoring and analyzing the performance of voice AI agents in real-time.
- Identifying and resolving issues in voice AI calls to improve user experience.
- Visualizing conversation flows to understand caller journeys and drop-off points.
- Customizing metrics to track specific performance indicators relevant to business needs.
- Evaluating the impact of changes made to voice AI systems on their performance.
What are the highlights of Canonical AI ?
- Real-time dashboard for monitoring key metrics such as Signal-to-Noise Ratio (SNR), latency, and interruptions.
- Call path analysis to visualize and classify conversation flows and outcomes.
- Customizable metrics to track specific performance indicators tailored to user requirements.
- Detailed conversation flow analysis to identify interruptions and conversation dynamics.
- Daily voice metrics providing insights into overall performance and characteristics of voice interactions.
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