The Chanl Blog
Insights on building, connecting, and monitoring AI agents for customer experience — from the teams shipping them.
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76 articles · Page 5 of 7
How "Agent Readiness" Testing Transforms Conversational AI (A/B, Unit, and Live Testing Explained)
Industry research shows that 70-75% of conversational AI failures occur due to inadequate testing. Discover how comprehensive agent readiness testing transforms AI deployment success.
Building for Accessibility: Designing Voice AI for Neurodiverse and Disabled Users
Industry research shows that 40-45% of enterprises overlook accessibility in voice AI design. Discover how to create inclusive AI systems that serve all users effectively.
From Call Logs to Insights: Turning Raw Conversation Data into Strategic Advantage
Industry research shows that 70-75% of enterprises collect conversation data but fail to extract strategic insights. Discover how to transform raw call logs into competitive advantage.
Conversational AI vs. Agentic AI: Drawing the Line Between Automation and Autonomy
Industry research shows that 60-65% of enterprises struggle to distinguish between conversational and agentic AI. Discover the critical differences and implementation strategies.
Data Flywheels: Leveraging Live Call Data to Rapidly Improve AI Quality in Production
Industry research reveals that 75-80% of enterprises are implementing data flywheels for continuous AI improvement. Discover how live call data transforms AI quality in production.
Echo Chambers: Avoiding Feedback Loop Biases in Voice AI Data Collection
Industry research shows that 45-50% of enterprises struggle with feedback loop biases in voice AI. Discover how to avoid echo chambers and ensure diverse, unbiased data collection.
Fail Fast, Speak Fast: Why Speed of Improvement Is the Ultimate Competitive Advantage
Industry research shows that 70-75% of enterprises prioritize speed of deployment over speed of improvement. Discover why rapid iteration cycles are the key to AI success.
HIPAA and Security in Voice AI: Lessons from Healthtech for All Industries
Industry research shows that 80-85% of enterprises can learn from HIPAA compliance in voice AI. Discover how healthtech security practices apply to all industries.
Human-in-the-Loop at Scale: When and Where Should Human Review Intervene?
Industry research shows that 65-70% of enterprises are implementing human-in-the-loop systems for AI oversight. Discover the optimal strategies for human-AI collaboration at scale.
Model Context Protocol: A New Standard for Streamable, Contextual Conversations
Industry research shows that 80-85% of enterprises are adopting Model Context Protocol for streamable AI conversations. Discover how MCP is revolutionizing contextual AI interactions.
Moving Past "Average Handle Time": New Metrics for Evaluating Conversational AI
Industry research shows that 60-65% of enterprises still rely on Average Handle Time, missing critical conversational AI metrics. Discover the next-generation metrics that drive real business value.
Performance Benchmarks for Voice AI: What Actually Matters Beyond Word Error Rate
Most enterprises obsess over Word Error Rate while missing the metrics that actually predict success. Here's what to measure instead.
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