Canonical AI
Monitoring and Analytics for Voice AI
Description
Canonical AI assists organizations in monitoring and analyzing the performance of their Voice AI agents with enterprise-grade analytics. The platform maps call journeys, provides advanced visualizations, and detects the exact points and reasons where calls are prone to fail.
With real-time alerts for anomalies, duration analysis, and custom dashboards, Canonical AI empowers teams to optimize conversational workflows and ensure high-quality voice assistant performance across every agent and interaction.
Key Features
- Real-Time Call Monitoring: Continuous monitoring of Voice AI call journeys with per-agent analytics
- Anomaly Detection: Alerting on failures in typically successful call paths
- Duration Percentile Analysis: Identifies deviations using 75th percentile call duration analysis
- Time Bucket Monitoring: Detects patterns and sudden changes in call duration success rates
- Visualizations and Dashboards: Enterprise-grade visual analytics for call journeys
- Call Path Analysis: Detailed mapping from greeting to outcome
- Agent Response Time Tracking: Measures agent response delays
- Signal To Noise Ratio Analysis: Assesses call audio clarity
- Failure Category Tracking: Detects and categorizes failure reasons
- Call Duration Distribution: Explores success and failure time patterns
Use Cases
- Monitoring Voice AI agent performance
- Detecting failures and anomalies in customer interactions
- Analyzing and visualizing call journey outcomes
- Optimizing conversational AI workflows
- Improving Voice AI call quality and reliability
- Enterprise-level voice analytics for contact centers
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