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Natvoiz AI Voice Bot

Voice AI8 months · 2023PythonFastAPIOpenAI

Natvoiz AI Voice Bot

Prepared by Shubham Gupta and Shlok Sawant.

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Industry

Voice AI

Timeline

8 months

Role

AI Engineer & Full Stack Developer

Stack

Python · FastAPI · OpenAI

Project Overview

Natvoiz is an end-to-end AI Voice Bot Platform capable of handling enterprise-scale voice interactions across recruitment, insurance, sales, and customer support use cases. Built for Natsoft, a US-based consulting enterprise with over 2,000 employees.

Replace repetitive, high-volume human calling workflows with AI-driven, human-like voice conversations.

The Client: Natsoft

Natsoft is a US-based consulting enterprise with over 2,000 employees and BPO operations. They faced major operational issues in their recruitment workflow - high recruiter workload, candidate drop-offs, and no structured way to capture feedback.

From recruitment automation to a full enterprise voice platform.

The Problem

High recruiter workload due to repetitive follow-ups. High candidate drop-off after offer rollout. No structured way to capture why candidates reject offers. Manual follow-ups leading to delays, inconsistent data, and recruiter burnout.

They needed an AI system that could screen candidates, follow up automatically, and share structured insights back to their CRM.

Platform Vision

Instead of building a single-purpose bot, we proposed and built a platform a configurable AI voice orchestration system that non-technical users can adapt to multiple business workflows without engineering support.

This decision later enabled rapid expansion into insurance, sales, and customer support use cases.

Visual Flow Builder

A user-friendly drag-and-drop flow builder where users can create conversation nodes, define prompts and responses, connect logic paths visually, configure fallback scenarios, and design complex multi-step call flows.

Usable by HR, Ops, and Business teams not just engineers.

AI & Voice Stack

Fully configurable speech-to-text, LLM, and text-to-speech providers for each flow.

Speech-to-Text

Deepgram, Google STT, AssemblyAI, Gladia

LLM Providers

OpenAI GPT models, Google LLMs for reasoning

Text-to-Speech

ElevenLabs, Google TTS with configurable voice/tone

Intent Detection

Real-time sentiment analysis and intent recognition

RAG Support

Connect SOPs, FAQs, and policy documents

Dynamic Selection

Each flow chooses optimal provider for its use case

Voice Flows Management

Create and manage multiple voice flows for different use cases offer acceptance calls in English, Telugu, Kannada, insurance flows, and more. Each flow can be duplicated, edited, and tracked independently.

One platform serving dozens of use cases across languages.

CRM Integration Flow

Seamless integration with existing CRM systems for automated trigger and feedback loop.

01

CRM Trigger

Offer letter released in CRM triggers API call to voice bot

02

AI Initiates Call

Bot makes outbound call to candidate automatically

03

Conversation

Confirms status, explains next steps, collects feedback

04

Data Sync

Recordings, transcripts, sentiment synced back to CRM

Call Analytics Dashboard

Track every call with detailed metrics including LLM latency, TTS latency, hangup reasons, and call status. Filter by date range and view conversation transcripts with a single click.

Complete visibility into AI performance and call outcomes.

Live Conversation View

Review actual AI conversations with timestamped messages, latency metrics per response, and full transcript history. See exactly how the AI handles different scenarios in real-time.

Every conversation becomes actionable intelligence.

Latency Breakthrough

The hardest and most critical technical win of the project.

Achieved through streaming pipelines, async orchestration, optimized model chaining, and infra-level tuning.

2s

Initial Latency

→

Optimized To

300ms

Final Latency

85%

Reduction

Post-Call Intelligence

After every call, the system automatically processes and extracts valuable insights.

Transcription

Full conversation transcripts processed automatically

Structured Feedback

Extract key data points from conversations

Sentiment Analysis

Understand candidate/customer emotions

Intent Tagging

Categorize call outcomes and intents

Recording Storage

Secure storage of all call recordings

CRM Sync

Push insights back to source systems

Business Impact at Natsoft

Real measurable outcomes after deployment.

Structured visibility into rejection reasons. Recruiters now focus on high-value tasks.

35-45%

Reduced Follow-ups

Faster

Decision Cycles

100%

Feedback Capture

Scale

Consistent Experience

Enterprise Features

Built for enterprise governance, security, and multi-tenant operations.

Designed for enterprise governance and security from day one.

From Recruitment to Enterprise Platform

What started as a recruitment automation tool evolved into a full enterprise voice platform. Now deployed across recruitment, insurance, sales, and customer support all from the same configurable platform.

One platform. Infinite voice use cases.

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.

~300ms

Latency

500+

Call Logs

8+

Voice Flows

Setoo AI Voice Bot

One platform. Infinite voice use cases.

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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