"Just ask Dave send him a text"

In this episode of The AI Voice Bot Podcast, host Dave dives deep into the hidden dangers of low-cost, off-the-shelf AI chatbots. These so-called “instant deployment” bots may look like a bargain — but many are built using shared datasets, meaning your private company data could end up inside another business’s chatbot.

Dave breaks down how this happens: budget vendors reuse the same training data and model environments for multiple clients, causing data leaks, “model drift,” and cross-contamination. The result? Bots that can mix up customer information, leak pricing or loan details, and ultimately expose businesses to privacy breaches and regulatory fines.

He cites a real-world case where a finance company’s chatbot leaked another firm’s data — costing over $450,000 in damage control, public apologies, and compliance fallout. Under laws like GDPR and Australia’s APPs, businesses are still liable for these breaches, even when caused by their vendor.

The episode outlines what to demand from any AI provider:

• A dedicated instance (your own isolated AI environment).
• AES-256 encryption for all stored data.
• A zero-reuse policy on training datasets.
• Clear data ownership agreements and audit rights.

Dave’s message is clear: in AI, “cheap” often becomes the most expensive mistake. The smart move is investing in secure, custom-built systems — like those powered by ib2, the proprietary technology developed by AI Voice Solutions.

Key takeaway: When your reputation, customer trust, and intellectual property are on the line, shortcuts in AI aren’t savings — they’re liabilities.

Stay smart, stay secure, and if you’re not sure where to start — just ask Dave.

📣 Get in Touch

Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.

• 🌐 Website: ai-voice.ai
• 📞 Book a Call: Schedule a 30-min chat
• 🔗 LinkedIn: Dave
• 💬 Text "Just ask Dave"