Voice AI Agent Platform for Customer Calls

Client: US-based company
Current status: Live production product
Engagement: End-to-end product development

Atty AI is a voice AI platform designed to automate the first line of customer communication. AI agents answer inbound calls 24/7, qualify leads, respond to customer questions, book appointments, and transfer conversations to human operators when needed.

ND Labs worked across the product stack, including frontend and backend development, AI logic, CRM and calendar integrations, built-in business tools, automated call validation, onboarding, assistant configuration, and white-label infrastructure.

The platform also supports outbound AI calls and allows partners to launch the product under their own brand with billing powered by Stripe Connect.

1) Scaling AI agent behavior across different businesses without maintaining completely separate prompt configurations for every customer.

2) Connecting the platform with CRM systems, calendars, and other business tools without building and maintaining every integration individually.

3) Creating a scalable way to monitor the quality of AI conversations without manually reviewing every call.

4) Supporting both direct customers and white-label partners while keeping onboarding, assistant configuration, integrations, and billing manageable within one product infrastructure.

Inbound AI calls — Natural voice conversations with customers 24/7.

Lead qualification — Business-specific questions and qualification workflows.

Customer Q&A — Answers based on the company’s services and business information.

Appointment booking — Checks calendar availability and books meetings during the call.

Human handoff — Transfers complex conversations to a live employee when required.

Call summaries and recordings — Stores conversation summaries, recordings, and collected customer information.

Outbound AI calls — Supports predefined outbound communication scenarios.

Voice infrastructure: Vapi and ElevenLabs support the voice interaction layer and natural spoken conversations.

Agent intelligence: OpenAI GPT models power the primary AI agents and conversation logic.

AI quality control: Anthropic Claude is used for automated call validation and additional AI-driven automation.

Integration layer: Pipedream connects the platform with CRM systems, calendars, and other external business applications.

The architecture separates voice interaction, AI reasoning, quality control, and external integrations into distinct layers that can evolve independently as the product grows.

Frontend: Next.js

Backend: Nest.js, Node.js, PostgreSQL, Prisma, RabbitMQ

Voice AI: Vapi, ElevenLabs

LLM: OpenAI GPT, Anthropic Claude

Integrations: Pipedream, CRM systems, calendar integrations

Payments and white label: Stripe, Stripe Connect

Atty AI is now a live production product on the US market. The platform combines voice AI with the business infrastructure required to use AI agents in real customer workflows — integrations, scheduling, contact management, configurable assistant logic, conversation monitoring, and human handoff.

The resulting architecture supports both direct customers and white-label partners. Modular AI logic, a unified integration layer, automated call validation, built-in business tools, and self-service configuration make the platform easier to operate and extend as new customer requirements emerge.