How to build scalable and secure AI Voice Agents?
We didnโt get it right the first time. Our first AI attempt? Total chaos. We overloaded one agent, expecting it to do everything. It didnโt. But we learned. And now, weโre building Ana, our AI Sales agent thatโs changing sales forever. Hereโs how we got it right: 1/ Vapi Architecture Layer: The backbone. โข Vapi connects key tools like Twilio for calls and various LLMs for human-like conversations. 2/ Task-Specific Agents: Focused and efficient. โข Separate agents handle meetings, lead updates, and follow-upsโno overload. 3/ Voice Layer: Real-time, natural conversations. โข Deepgram converts speech to text. โข LLMs deliver smooth, human-like responses. 4/ Business Tools Integration: Secure and seamless. โข Automations using n8n hosted on Amazon Web Services (AWS) for data protection. โข Syncs with CRMs like HubSpot or custom databases like Supabase. 5/ Omnichannel Engagement: Wherever your clients are. โข Ana schedules with cal.com. and connects via email, SMS, WhatsApp, and Instagram. Ana isnโt just an AI voice agent. Itโs a teammateโone that scales your business and streamlines sales. Check out the video to see what empowers Ana, and let me know what you think! Drop "Miro" in the comments for Miro template. Book a demo today to see "Ana" in action!