I’m back after finishing my exams, almost 2 months later. I need some honest advice from people here. Are AI voice agents actually useful for the real estate industry? I recently built an AI voice agent for a large European healthcare group. It is now in production and handling 600+ calls per day in 2 regions. Now I want to niche down and focus on real estate in the USA. The problem I’m looking at is simple: Real estate agents and teams miss calls, respond late, and lose leads because of slow follow-up. Do you think this is a real enough problem to go all-in on? I’ve already rebranded my LinkedIn around real estate AI voice agents and started outreach mainly through LinkedIn. I also thought about HVAC, but there are fewer HVAC owners active on LinkedIn, so that may need cold calling, which I’m avoiding for now. Would love to hear your thoughts. Is real estate a good niche for AI voice agents, or should I look at another industry?

The First Two Years of AI Voice Were About Intelligence. The Next Two Will Be About Responsibility. For the past two years, the agentic voice industry has been focused on a single challenge: making AI conversations work. The industry has invested heavily in speech recognition, voice synthesis, latency reduction, prompt engineering, orchestration frameworks, and increasingly sophisticated conversational intelligence. The results have been remarkable. Today's AI voice agents can qualify leads, schedule appointments, resolve customer issues, conduct surveys, support collections efforts, and automate many tasks traditionally handled by human contact center agents. As the technology matures, however, the conversation is beginning to change. While the first phase of agentic voice was about intelligence, the next phase will be about responsibility. Full article at https://www.customerzone360.com/topics/customer/articles/463756-ai-voice-compliance-crisis-nobody-talking.htm

Hey All, If any of you are using outbound calling voice agents - I'm looking for a few brave souls willing to help me test our newest product offering, called "Pipes". Pipes is an multi-tier, multi-tenant, AI First, API Driven automated dialer - designed to make automated calling using AI Voice Agent easier, simpler, faster and more economic than using the AI systems built-in tools. Just as a comparison - with Pipes and Cloudonix, you can generate at much as 1,500 calls in as little as 15 minutes - with full built-in voicemail detection that is 99.5% accurate. Later today, during our weekly AMA session - I'll be showcasing the Pipes system and how it's used - you can register for our AMA sessions here: https://us02web.zoom.us/meeting/register/6D63tRaYSDihkJtUlpNp-A

You’re probably still building AI voice agents manually for clients. That’s not a scalable business. It’s time to take your AI agency to the next level by launching your own full-stack SaaS platform — just like I did. The good news: I’ve already built the entire AI voice agent SaaS platform, so you don’t have to. Here’s what’s inside the codebase: 🗣 AI Voice Agent — powered by Vapi & LiveKit⚙ Configurations — prompts, models, knowledge base, and more 📝 Call Logs 📈 Analytics Dashboard 🔐 Sign in / Sign up — Google Authentication ready 💳 Payment Collection — via Stripe 🏢 Multi-Tenant Architecture — one user can be linked to multiple organizations 📞 SIP Connection — integrated with Telnyx ⛔ Rate Limiter — manage usage efficiently And everything else you need to launch a production-ready SaaS platform. 💬 Comment below or DM me if you’re interested in using or acquiring the full codebase for your own AI voice agent business.

Think about that for a second. You can fire a salesperson for missing quota. You can bench a process for failing QA. You can shut down a supplier for poor fill rate. But AI agents? They just keep running. Keep consuming API credits. Keep generating outputs nobody checks. And somehow that's called "scaling." Here's what I've learned running physical operations: The most dangerous cost isn't the one that's big. It's the one that's invisible. A $300/month agent that books zero qualified meetings isn't a small cost. It's a process failure with a subscription model. You wouldn't keep a logistics vendor who delivered 2% of orders on time. Why are you keeping an agent nobody can measure? The accountability gap in AI isn't a tech problem. It's a management problem. And management problems have one fix: someone has to own the number. Who owns the number on your agents?