We Built a Voice AI Receptionist in 8 Weeks — Every Decision We Made and Why

📰 Dev.to AI

Learn how to build a voice AI receptionist in 8 weeks, from concept to production, and the key decisions made along the way

intermediate Published 27 Apr 2026

Action Steps

Define the project scope and goals using agile methodologies to ensure timely completion
Choose a suitable programming language, such as TypeScript, and framework for building the voice AI receptionist
Design and implement a conversational AI model using machine learning algorithms and natural language processing techniques
Integrate the AI model with a telephony system to handle live patient calls
Test and refine the system to ensure accuracy, reliability, and security
Deploy the production system and monitor its performance, making adjustments as needed

Who Needs to Know This

This article is relevant for software engineers, product managers, and AI engineers who want to build and deploy AI-powered voice receptionist systems, particularly in healthcare clinics

Key Insight

💡 Building a voice AI receptionist requires careful planning, execution, and testing, but can be achieved in a relatively short timeframe with the right tools and expertise