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Case study · Voice AI / B2B SaaS

24/7 AI receptionist, zero missed calls

PingMunk gives small businesses a fully automated phone support agent — set up in minutes, live before the day is over. No dedicated staff. No missed opportunities.

Industry
Voice AI / B2B SaaS
Product
AI voice agent platform
Core value
24/7 AI receptionist, zero missed calls
Markets
US
Delivery
From prototype to going live in 4 weeks
PingMunk
PingMunk call transcript with AI receptionist conversation and playback controls
Challenge

Missed calls, rising costs

Small businesses face a recurring dilemma: hiring a dedicated receptionist is too expensive, but handling calls manually means missed opportunities every time the owner is busy or unavailable.

The technical challenge ran deeper than just answering calls. The platform needed to enforce strict minute-based subscription packages — letting active calls finish gracefully when minutes run out, while blocking new calls until the account is topped up — without any manual intervention.

Solution

Instant AI support agent

After a simple OTP signup and payment, businesses fill out a profile — company details, working hours, core services — and the platform generates a dedicated phone number ready to receive calls within minutes.

The AI receptionist answers using the configured business context, tracks every interaction, and delivers full text transcripts and SMS notifications after each call. Minute packages are managed automatically: active calls finish, new ones wait until the account is replenished.

Founder's take

What Kwan says

Kwan Kim

Founder, PingMunk

Product surface

Built for instant launch

PingMunk business details form with company name, address, and service tags

Business details setup

Owners configure company information, working hours, and core services — everything the AI needs to answer calls accurately from day one.

PingMunk agent profile settings with voice, name, and additional context fields

Agent personalization

Receptionist voice, name, background noise, and custom business context are all configurable for a natural, on-brand calling experience.

PingMunk call history page with recent calls list and empty state

Call history dashboard

Every interaction is logged alongside subscription minute usage — so operators can audit conversations and track spend in one place.

PingMunk activation page with PingMunk number provisioning and consent checkbox

Telephony activation

After a simple OTP signup and payment, the platform provisions a dedicated phone number. One click to start routing real customer calls.

PingMunk call transcript view showing AI and customer dialogue with timestamps

Call transcript view

Every conversation is saved as a searchable transcript with full metadata, audio playback, and a one-click download for complete logs.

Technology

Modern voice-first SaaS

The platform was built with React, TypeScript, Tailwind CSS, Storybook, Django, PostgreSQL, and REST API — with Vapi powering the AI voice layer and Stripe handling subscription billing and plan management.

React TypeScript Tailwind CSS Storybook Django PostgreSQL REST API Vapi Stripe
Results

Prototype to live MVP

4

weeks

From prototype to production MVP

2

user roles

Customer and platform admin, each with a tailored surface

140

development hours

Full voice infrastructure, subscription billing, and SMS notifications

PingMunk went from a working prototype to a fully deployed production MVP in 4 weeks — complete with voice infrastructure, subscription billing, automated transcripts, and SMS delivery, ready for real businesses and real customer calls.

Your project

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