The Chanl Blog
Insights on building, connecting, and monitoring AI agents for customer experience — from the teams shipping them.
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215 articles · Page 16 of 18
Low resource languages: Building voice AI for global, not just English-speaking, markets
While English dominates voice AI, 75-80% of the world's population speaks low-resource languages. Discover how to build voice AI for global markets and unlock untapped opportunities.
Smarter Escalation: When Should Voice AI Refuse to Answer?
Industry research shows that 60-65% of enterprises struggle with AI escalation decisions, leading to customer frustration and compliance risks. Discover when voice AI should refuse to answer and how to build smarter escalation frameworks.
Voice AI in Regulated Industries: How to Pass an Audit without Breaking a Sweat
Industry research shows that 70-75% of enterprises struggle with AI compliance in regulated industries, leading to audit failures and regulatory penalties. Discover how to build voice AI systems that pass audits with confidence.
How AI Voice Systems Handle Accents (And Why Most Get It Wrong)
AI voice systems still fail millions of speakers with non-standard accents. Here's why that happens, what inclusive voice design actually looks like, and how to build agents that understand everyone.
The Evolution of Voice Synthesis: Beyond Natural Sounding to Emotionally Intelligent
Industry research shows that 70-75% of enterprises are moving beyond basic voice synthesis to emotionally intelligent systems. Discover how voice AI is evolving from natural-sounding to emotionally aware.
Automated QA Grading: Are AI Models Better Call Scorers Than Humans?
Industry research shows that 75-80% of enterprises are implementing AI-powered QA grading systems. Discover whether AI models actually outperform human call scorers and how to implement effective automated grading.
Conversational Analytics Gone Wrong: Top Pitfalls in Call Data Interpretation
Industry research shows that 70-75% of enterprises misinterpret conversational AI analytics, leading to costly business decisions. Discover the most common pitfalls and how to avoid them.
How callers actually think about AI — and where every assumption breaks
Industry research reveals that 60-65% of callers develop incorrect mental models of AI systems. Discover how understanding caller psychology transforms voice AI design and reduces frustration.
Agentic AI Liability: Who's Responsible for What When Things Go Wrong?
Industry research shows that 80-85% of enterprises lack clear liability frameworks for agentic AI failures. Discover how to establish responsibility structures that protect your organization while enabling AI innovation.
70% of Enterprises Are Ripping Out Their IVRs. Here's Why, and What Replaces Them
Industry research shows that 70-75% of enterprises are phasing out IVRs in favor of conversational AI. Here's how to build transitions that preserve customer experience while modernizing operations.
Conversation as a Service: Will the Next SaaS Giants Be Voice-First?
Voice-first SaaS is generating real revenue but not in the way most people predicted. Here's an honest look at what's working, what's hype, and whether conversation platforms will produce the next generation of software giants.
How LLMs Changed Agent Training Forever: From Writing Rules to Writing Prompts
LLMs didn't just improve agent training. They changed the entire discipline. Here's what actually shifted, what works in production, and what the industry still gets wrong.
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