Yaapora — Agentic AI CRM on WhatsApp for Indian MSMEs

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Agentic AI, built on WhatsApp

A message comes in. The AI understands it, and does the work.

Yaapora is an agentic AI CRM for Indian MSMEs. At its core is a large language model that reads an inbound WhatsApp message, works out what the business owner or customer actually wants, and drives real actions in the CRM — creating invoices, recording payments, updating customer records. It understands English and Hindi/Hinglish, the way Indian small businesses actually type. Not a chatbot bolted onto a dashboard — an agent that takes action.

STEP 01

Message in

A customer or owner sends an ordinary WhatsApp message — no app to install, no dashboard to learn.

STEP 02

Intent parsed

LLM inference reads the message and resolves what needs to happen, in English or Hindi/Hinglish.

STEP 03

Agent executes

A tool-calling loop maps the intent to real operations, running through the same production services as the web CRM.

STEP 04

CRM write

The action is committed — invoice, payment, product, or customer record — and confirmed back in the chat.

Language understanding built for India

The intent-parsing engine is tuned for how MSME owners really write — English and Hindi/Hinglish, mixed freely, with the shorthand and typos of everyday WhatsApp. It maps messy natural language to precise CRM actions.

Agentic intent-to-action loop

Yaapora doesn't just reply — it acts. A tool-calling agent turns understood intent into real writes across invoicing, payments, catalogue, and customer records, with interactive buttons and pickers for tap-to-confirm control.

Metered, with a hard ceiling

Every AI action is metered against an enforced cost ceiling that blocks over-limit sends before they fire — an 80% warning, a protective cap, and explicit owner opt-in. Autonomy the owner stays in control of.