Urgent.News

What's breaking now, across thousands of outlets.

AI

How I Build AI Receptionists for Small Businesses

How I Build AI Receptionists for Small Businesses Every week, small businesses lose jobs for the dumbest reason: nobody picked up the phone. The customer doesn't leave a voicemail — they call the next listing on Google. Hiring a full-time receptionist costs $3,000+/month. An AI receptionist costs a fraction of that and never sleeps, never takes lunch, and never lets a call go to voicemail. Here's…

Small businesses suffer from lost opportunities due to unattended phone calls. Customers often bypass voicemails and call another business listed on Google. A full-time receptionist can cost over $3,000 per month. An AI receptionist is significantly cheaper and operates around the clock, never taking breaks or missing calls. TechMitten, a company specializing in this service, builds these AI receptionists for their clients.

Clients receive an instant, 24/7 answering service for their calls, including nights, weekends, and holidays. The AI agent greets callers naturally, handles common inquiries, and captures important information like names and contact details. After a call ends, the business owner receives a concise text message with a summary and a detailed email with the full call breakdown. No additional apps or dashboards are required; the service operates through the existing phone number.

The core technology behind TechMitten's AI receptionists is RetellAI. This platform manages speech-to-text conversion, language model conversation, and text-to-speech output, ensuring low latency to maintain a realistic call experience. Twilio handles the telephony aspect, connecting the client's business number to the AI agent. A scheduled notification pipeline sends lead alerts via SMS and email shortly after each call concludes.

The development process involves several key steps. First, the agent's conversational design must be created, which is primarily a writing task focused on creating a friendly tone and a list of the client's most frequent questions. Next, the agent needs to be informed about the client's business specifics, such as services, pricing, and how to handle inquiries that require a human.

The system must also have predefined call flows and fallback options for handling unexpected situations. After thorough testing with various call scenarios, including calls from different types of callers, the AI is ready for deployment. The final piece is setting up the notification loop to keep the business owner informed about new leads in real-time.

TechMitten emphasizes that latency is critical in delivering a seamless AI receptionist experience. A quick response is essential for a positive customer interaction. Unlike many solutions that offer a dashboard, TechMitten prefers a straightforward approach where the owner receives text and email notifications detailing each call.

The simplicity of the system—greet the caller, assist with their needs, capture necessary information, and confirm the call resolution—ensures that callers are not left feeling like they are speaking with a robot. The effectiveness of these AI receptionists lies in their ability to handle real-world complexities like accents, background noise, and speakerphone setups, ensuring that the service is reliable and user-friendly.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

More in AI

More from Saturday 10 October →