Success measurement is essential for evaluating the real-world performance of conversational AI systems after deployment. This section provides guidelines for measuring and calculating success rates for both Virtual Agent and Agentic AI implementations. While Virtual Agents are evaluated based on individual intent recognition and response accuracy, Agentic AI systems require a goal-oriented approach that accounts for multi-step reasoning and agent collaboration. Select the appropriate guide below based on your project type to ensure accurate and consistent performance evaluation.
Success Measurement
- Published on Jan 27, 2026
- 1 minute(s) read
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