Business details setup
Owners configure company information, working hours, and core services — everything the AI needs to answer calls accurately from day one.
Case study · Voice AI / B2B SaaS
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.
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.
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.
Kwan Kim
Founder, PingMunk
Owners configure company information, working hours, and core services — everything the AI needs to answer calls accurately from day one.
Receptionist voice, name, background noise, and custom business context are all configurable for a natural, on-brand calling experience.
Every interaction is logged alongside subscription minute usage — so operators can audit conversations and track spend in one place.
After a simple OTP signup and payment, the platform provisions a dedicated phone number. One click to start routing real customer calls.
Every conversation is saved as a searchable transcript with full metadata, audio playback, and a one-click download for complete logs.
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.
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.