If you’re making outbound calls through Twilio and seeing “Spam Risk” or “Scam Likely” labels show up on your recipients’ phones, you’re not alone. It’s becoming increasingly common, especially with high-volume calling, newly purchased numbers, or unverified caller IDs. The good news: it’s not random, and it’s not inevitable. Understanding why carriers flag calls and …
Capturing email addresses over voice AI systems like VAPI and Twilio remains one of the thorniest challenges in building reliable call flows. Even today, transcription errors, user behavior, and technical limitations can break otherwise good conversations — because with emails, *"almost right" is as bad as "wrong". This guide distills research from real-world developers, official …
VAPI Voicemail Detection Setup Checklist If you’re building AI calling flows with VAPI, you already know: Voicemail detection is the silent killer of good call performance. If your AI agent talks over a voicemail greeting, burns minutes, or leaves awkward half-messages, you waste money and create a poor customer experience. The good news? You can …
Market Breakdown: Where Voice AI Drives ROI After analyzing 137 implementations across 23 industries, clear patterns have emerged in profitable AI voice automation. Below, we explore the most impactful models, supported by case studies and market data. Real Estate: Automating Lead Qualification and Scheduling AI-powered voice automation is transforming the real estate industry by streamlining …
The modern restaurant moves fast. Calls come in during lunch rush, reservations get booked last minute, and customers want quick answers about menus, hours, and dietary options. But the reality is that most restaurants simply can’t afford to have someone on the phone 24/7. That’s where AI voice agents step in. AI-powered voice platforms are …
Making AI voice agents trustworthy: guardrails, hallucinations, and data quality Your AI voice agent isn’t broken. It’s just reading bad content. If you’ve ever wondered why an AI voice bot delivers vague, repetitive, or flat-out incorrect answers — even when it seems like the data should be there — you’re not alone. In most cases, …
Collecting customer feedback sounds easy. But for most businesses, it’s a broken process. You send post-purchase surveys, get a 3% response rate, and end up with fragmented data that no one reviews. Worse, the feedback you do collect often lacks context, urgency, or emotional nuance. AI voice agents are changing that. By automating post-interaction calls …