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Setoo AI Voice Bot

Enterprise AI3 months · 2025PythonFastAPIOpenAI

Setoo AI Voice Bot

Prepared by Shubham Gupta and Shlok Sawant.

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Industry

Enterprise AI

Timeline

3 months

Role

Backend Engineer & AI Developer

Stack

Python · FastAPI · OpenAI

The Café Story

This project began inside a café. While working on AI voice integrations, our team discussed STT and TTS pipelines. The Setoo founder overheard, got curious, and asked what we were building.

Visibility + real technical depth = inbound opportunity.

How It Closed

They left for another meeting, then called back while driving, finalized the work, and onboarded us. A genuine technical conversation that became an engagement.

From overheard conversation to signed engagement.

The Project Scope

A backend-only AI voice bot system was built for Setoo, designed to integrate with their existing infrastructure. Later extended for their enterprise client BU Bhandari, and the modular architecture was reused for Vani Connect.

Built once, deployed many times across different clients.

Use Cases Delivered

The platform was adapted for multiple voice automation scenarios.

Sales Calls

Automated outbound sales conversations with AI

Customer Support

AI-powered support call handling and routing

Lead Engagement

Automated lead qualification and follow-up calls

Follow-ups

Scheduled callback automation

Call Analytics

Detailed insights from every conversation

CRM Integration

Seamless sync with existing systems

Deployment Architecture

The modular backend architecture enabled rapid deployment across multiple organizations.

01

Setoo (Primary)

Initial deployment and platform development

02

BU Bhandari

Enterprise client deployment via Setoo

03

Vani Connect

Reused architecture for new client

Why This Project Matters

A flagship example of how technical depth creates opportunities.

"We don't just call APIs we build systems."

3+

Organizations

API

Backend-Only

Modular

Architecture

Inbound

Opportunity

Lessons Learned

This project is ideal for AI capability showcases, enterprise sales conversations, and technical architecture deep-dives. The café story remains a powerful founder narrative about how visibility and genuine technical expertise create inbound opportunities.

Sometimes the best clients find you when you're just being yourself.

Who prepared this

  • Shubham Gupta

    Business, Product & Go-to-Market

    Worked across SaaS products, AI systems, and business software execution with direct exposure to scaling product workflows and solving operational inefficiencies.

    LinkedIn
  • Shlok Sawant

    Technology & Product Architecture

    Leads technical development and product systems, with strong hands-on experience building production-grade software and AI implementations.

    LinkedIn

Built for scale. Proven in market.

3+

Deployments

Sales, Support

Use Cases

Modular

Architecture

Healthy Fasal

Sometimes the best clients find you when you're just being yourself.

Make one workflow AI‑powered

Bring the process. Leave with the AI opportunities, the future-state design, and an implementation plan.

Your implementation plan

Lead follow-up

Example
Days 1–30

Quick wins

  • AI drafts first replies
  • One owner per lead
Days 31–60

Core AI build

  • AI voice agent + CRM sync
  • Human approval step
Days 61–90

Scale & review

  • AI weekly status summary
  • Pick the next workflow

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