Blog | Voice & Conversational AI | Automate Phone Calls
Here’s What Vendors Won’t Tell You About A/B Testing Most Voice AI providers love to talk about “optimization.” They’ll tell you their platform self-improves, automatically getting smarter with every interaction. Sounds great. But in practice? Improvement takes structure, discipline, and—yes—old-fashioned A/B testing. I’ve seen too many pilots fall flat because…
Why Model Optimization is a Strategic Decision, Not Just Technical Tuning In conversations with enterprise leaders, one question comes up repeatedly: how much should we invest in training our own machine learning models for voice AI versus relying on pre-trained systems? The calculus isn’t only about accuracy—it’s about ownership, costs,…
Why Analytics in Voice AI Isn’t as Simple as Vendors Claim Let’s be blunt: everyone says their platform has “advanced analytics.” What they don’t say? Half the time, it’s a glorified call log with pretty charts. I’ve been in boardrooms where executives expected AI-driven insights… and got CSV downloads that…
Why Developers Gravitate Toward API-First Voice AI What if you could build a voice assistant that wasn’t boxed into a pre-designed template—but instead could be stitched directly into your company’s DNA? That’s the promise of API-first voice AI. Unlike no-code platforms that focus on simplicity, API-first voice AI gives developers…
Why CRM and Voice AI Belong Together Imagine a sales rep answering a prospect’s question without ever leaving their CRM screen—or better yet, imagine the CRM auto-updating itself based on that voice exchange. That’s not future hype anymore. It’s what enterprises are actually deploying today. Here’s why this matters: CRM…