Turning Urdu Voice Notes Into a CRM: A Custom LLM Case Study

Pakistani SMBs run on WhatsApp voice notes. Here’s how we built an AI that transcribes Urdu, extracts the lead, and logs it before the rep puts the phone down.

Every lead in a Pakistani SMB arrives as a voice note. Every follow-up is manual. Every deal lives in someone’s head. We built Myyna because we needed to solve this for ourselves first.

The problem generic AI can’t solve

Off-the-shelf models don’t know your products, your pricing, your tone — or how Karachi actually speaks. Roman Urdu, code-switching, and dialect break most transcription tools. A custom deployment trained on real conversations does not.

What we built

• Voice notes transcribed in Urdu and English, including code-switched speech
• The lead auto-extracted and logged to the pipeline
• Follow-ups triggered by behaviour, not by someone remembering
• The whole pipeline visible in one view, inside WhatsApp

This is what custom LLM deployment means in practice: your own AI, trained on your business, owned by you — not a generic chatbot bolted onto your website.