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Canonical Chat Voice
Monitoring and Analytics for Voice AI

Canonical Chat Voice
Freemium

Home: https://voice.canonical.chat

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What is Canonical Chat Voice?

Canonical Chat Voice offers specialized monitoring and analytics solutions tailored for Voice AI agents. It enables businesses to meticulously map out the call journeys of their Voice AI systems, providing enterprise-level analytics that pinpoint precisely when and why calls might be failing. The platform focuses on delivering intelligent insights by monitoring call paths and alerting users to critical issues in real-time on an agent-specific basis.

The service employs sophisticated techniques like analyzing call paths with historically high success rates to identify anomalies when failures occur. It also uses duration percentile analysis and time bucket monitoring to detect deviations from successful call patterns. Through intuitive visualizations and dashboards, users can gain a clear understanding of call path analysis, agent response times, audio signal-to-noise ratios, sad path analysis (failure categories), and call duration distributions, ultimately aiming to enhance the quality and effectiveness of AI voice assistants.

Features

  • Voice AI Call Journey Mapping: Visualize and understand the complete path of customer interactions with Voice AI agents.
  • Real-time Anomaly Detection: Identifies and alerts on deviations from successful call patterns, including successful path anomalies, duration percentile analysis, and time bucket monitoring.
  • Enterprise-Grade Analytics Dashboards: Provides visualizations for call path analysis, agent response time, signal-to-noise ratio, sad path analysis, and call duration distribution.
  • Failure Point Identification: Pinpoints exact moments and reasons for call failures within the Voice AI interaction.
  • Per-Agent Monitoring: Tracks performance and issues specific to individual Voice AI agents.

Use Cases

  • Monitoring Voice AI agent performance.
  • Analyzing customer call journeys with AI assistants.
  • Identifying reasons for Voice AI call failures.
  • Improving AI voice assistant quality and reliability.
  • Optimizing Voice AI agent response times.
  • Troubleshooting issues in automated call centers.

Related Queries

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Canonical Chat Voice Uptime Monitor

Average Uptime

99.93%

Average Response Time

139.93 ms

Last 30 Days

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