Building a Real-Time AI Voice Agent for Contractor Call Automation
Creole Studios partnered with SRGE to build CAMI, a real-time AI voice automation system designed to help contractors reduce missed calls and respond faster to potential customers. The platform bridges traditional telephony with conversational AI, enabling live phone calls, real-time voice interaction, structured data collection, automated call summaries, and urgent follow-up notifications.
United States
20K – 22K USD
2.5 months
Backend / AI Voice System
About CAMI
Helping Contractors Capture Calls Without Adding Manual Work
CAMI was built to support contractors who often lose potential business because they cannot answer every inbound call while working on-site. Instead of letting calls go unanswered or relying only on voicemail, CAMI acts as an AI-powered voice agent that can answer calls, hold real-time conversations, collect key caller information, generate summaries, and notify the contractor for quick follow-up.
The system focuses on practical call handling rather than open-ended automation. It captures caller needs, identifies urgency, tags the conversation, and sends concise call summaries so contractors can respond safely and efficiently.
Project Challenges
Developing CAMI required solving challenges across real-time telephony, conversational AI, data processing, multi-tenant architecture, and cloud deployment.
Low-Latency Voice Calls: CAMI needed fast audio streaming and stable communication between Twilio Media Streams, WebSockets, and OpenAI’s Realtime API.
Telephony and AI Integration : The system had to connect phone calls with conversational AI while maintaining a smooth, uninterrupted two-way call experience.
Structured Data Capture : CAMI needed to identify caller intent, urgency, and service details and convert conversations into actionable follow-up information.
Post-Call Summaries : The platform had to generate transcripts, summaries, and tags, then deliver important call details through SMS or notifications.
Multi-Tenant Configuration : Each contractor required separate prompts, conversation logic, routing rules, and AI behaviour within an isolated backend structure.
Reliable Cloud Deployment : CAMI required secure AWS hosting, storage, monitoring, logging, and CI/CD to support reliable production operations.
How Did We Help?
Creole Studios partnered with SRGE to develop CAMI as a backend-first AI voice automation MVP focused on real-time performance, production readiness, and scalable architecture.
Call Flow Architecture
Twilio Voice Integration
WebSocket Backend
Real-Time AI Interaction
Summaries and Lead Routing
Cloud Infrastructure and CI/CD
Testing and Production Delivery
The outcome
CAMI was successfully delivered and accepted as a production-ready AI voice automation MVP for SRGE. The system enabled contractors to handle inbound calls through a real-time AI voice agent, reducing the risk of missed opportunities when they are unavailable. With live voice interaction, automated post-call summaries, structured tagging, and urgent lead notifications, CAMI gave contractors a faster and more practical way to follow up with potential customers. The AWS-based deployment created a stable and scalable foundation for future enhancements, including tenant-specific behavior, advanced routing, and expanded automation workflows. This MVP gave SRGE a strong production foundation in the AI voice automation space.
SRGE (CAMI) Team
“Creole Studios helped us turn CAMI into a reliable production-ready AI voice system. Their team handled the complexity of real-time telephony, AI integration, and AWS deployment with strong technical ownership. The MVP was delivered smoothly, accepted successfully, and gave us a solid foundation to scale further.”