How We Built Sales Connect AI
Enterprise-grade infrastructure at small business pricing. Here's the stack behind the AI receptionist and why we chose every piece of it.
The core stack
Every technology choice was made for reliability, security, and cost-efficiency at scale.
AWS Bedrock
We use AWS Bedrock for our AI foundation models. It gives us access to multiple frontier models (Claude, Titan) without managing infrastructure, with built-in data privacy guarantees — your call data never trains third-party models.
Twilio
Twilio handles all voice connectivity — inbound routing, outbound dialing, call recording, and real-time media streams. It's the most battle-tested telephony API in the world with 99.95% uptime SLA.
AWS Lambda
Serverless functions handle call orchestration, webhook processing, and AI inference triggers. Lambda means we scale to zero when idle and handle thousands of concurrent calls without provisioning servers.
MongoDB
Call records, transcripts, summaries, and user data live in MongoDB. Its flexible document model handles the varied structure of call data without rigid schemas, and scales horizontally as customer volume grows.
Why these choices matter for you
This isn't a wrapper around a single AI API. It's a purpose-built system designed for voice-first business communication.
Your data stays private
AWS Bedrock guarantees your data isn't used to train models. Call recordings and transcripts are encrypted at rest and in transit. We never share customer data.
No single point of failure
Serverless architecture means there's no single server to go down. Each component (AI, telephony, data) operates independently with built-in redundancy.
Scales without intervention
Whether you get 5 calls a day or 500, the system scales automatically. No capacity planning, no server upgrades, no performance degradation.
How a call flows through the system
From first ring to delivered summary — here's what happens under the hood.
Twilio receives the call
Twilio's programmable voice API picks up the call and streams audio to our Lambda function via webhook. Latency from ring to AI response: under 1 second.
Bedrock handles the conversation
Real-time speech-to-text feeds into our Bedrock-powered conversation engine. The AI understands intent, asks follow-up questions, and manages the call flow.
Lambda orchestrates outcomes
Based on the conversation, Lambda functions trigger actions: book an appointment, send an SMS confirmation, capture lead data, or route to a live team member.
MongoDB persists everything
Call recording, full transcript, AI-generated summary, caller details, and action items are all written to MongoDB and available in the dashboard instantly.
Why not just use ChatGPT + a phone API?
Many AI voice products are thin wrappers. Here's why we built differently.
| Consideration | Sales Connect AI | Generic AI Wrapper |
|---|---|---|
| Data privacy | AWS Bedrock (no data training) | OpenAI API (data may be used) |
| Model flexibility | Multiple models via Bedrock | Locked to one provider |
| Telephony reliability | Twilio (99.95% SLA) | Varies (often untested APIs) |
| Latency | Sub-second (Lambda + streaming) | 2-5 seconds (API round-trips) |
| Scaling | Serverless (auto-scales) | Server-based (capacity limits) |
| Call recording | Built-in (Twilio native) | Often missing or add-on |
| Compliance | AWS SOC 2, HIPAA-eligible | Varies widely |
Built for developers and agencies too
If you're technical, here's what you should know.
Webhook-first
Every event (call started, call ended, appointment booked) fires a webhook. Integrate with any system your client uses.
Embeddable widget
A single script tag adds the AI receptionist to any website. Works with WordPress, Squarespace, Wix, Next.js, or any custom stack.
White-label ready
Agencies can deploy Sales Connect AI under their own brand for clients. Custom business slugs, branded voice, and per-client billing.
Enterprise infrastructure. Small business pricing.
The same AWS and Twilio reliability that powers Fortune 500 phone systems — packaged for businesses that start at $49/month.