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Vasooli AI.

Get paid on time, without the chase

Payment recovery for Indian MSMEs — reminders, statutory interest and escalation, on top of Tally, Excel and WhatsApp.

Client
Promptly AI
Industry
FinTech / MSME
Engagement
Build — four audited phases
Relationship
A Promptly AI product, built by the studio
Vasooli AI
Vasooli AI website home page for MSME payment recovery
Vasooli AI website home page on a phone
Mobile web The website on a phone.
IThe ground

The brief.

Small manufacturers across India lose weeks chasing unpaid invoices, and many never claim the interest the law already gives them on late payment. Vasooli AI set out to do the chasing for them — politely, in the buyer's language, on the channels they already use and on top of the books they already keep in Tally or Excel — while the owner decides what goes out.

IIThe plan

Our response.

We built a NestJS API on PostgreSQL with row-level security, a responsive React web app in Hindi and English, a read-only Windows agent in Tauri and Rust that syncs TallyPrime and Excel, and a public website with GSAP and Lenis motion. The platform works out MSMED interest deterministically with the full working shown, sends reminders on WhatsApp, email and SMS through a tone ladder with approval modes, quiet hours and a send-time check, detects payments from syncs, bank statements and Razorpay, and reads buyer replies with AI. When patience runs out it prepares escalation: a demand notice drafted from ledger facts, an interest statement and an evidence bundle. A chartered accountant can follow every client business in one portfolio.

  • Product Design
  • Full-Stack Web Development
  • Desktop Agent (Tauri)
  • AI Integration
  • Website & Motion Design
  • Security & Privacy
IIIThe buildStrategy → craft → engineering → care

Brick by brick.

  1. Course 01

    Books First

    Reads the ledger from Tally through a read-only desktop agent, from Excel or CSV, from reports sent by email or WhatsApp, or from bill photos confirmed by a person.

  2. Course 02

    Interest You Can Prove

    A deterministic MSMED interest engine with compound monthly rests and sourced RBI Bank Rate history, always shown with its full working.

  3. Course 03

    Polite, Then Firm

    A reminder engine with a tone ladder, approval modes, quiet hours, caps and a send gate that checks the books again at the moment of sending.

  4. Course 04

    The Owner Decides

    One activity feed, a daily WhatsApp digest with one-tap approval, a hash-chained audit log, and tenant isolation with Postgres row-level security.

—A closer lookVasooli AI in detail
Vasooli AI
Vasooli AI section on reminders, payment checks, interest and owner control
Polite on every bill, with proof for every rupee.
Vasooli AI
Vasooli AI section explaining it is built like a ledger, not a chatbot
Built like a ledger, not like a chatbot.
Vasooli AI
Vasooli AI section showing how statutory interest grows on a late payment
What late payment costs, worked out under the MSMED Act.
Vasooli AI
Vasooli AI page for chartered accountants with a portfolio of client businesses
A portfolio for chartered accountants and every client they look after.
Vasooli Agent desktop window connected to Tally, in Hindi, with sample data
The Windows agent that reads Tally, shown in Hindi with sample data.
IVThe outcomeWhat took shape

What it became.

API Routes
193
Each with a declared access policy
Automated Tests
733
Shared, API, web, Rust agent and end-to-end suites
Languages
2
Hindi and English, across the app, website and agent
Audits
4
Independent audits, each closed with fixes and tests

Project scope and implementation details from Edifio’s case study.

VSpecificationBuilt on the right foundations

Schedule of materials.

  1. 01NestJS
  2. 02React 19
  3. 03Vite
  4. 04Tailwind CSS 4
  5. 05Prisma
  6. 06PostgreSQL (RLS)
  7. 07Redis + BullMQ
  8. 08Tauri 2
  9. 09Rust
  10. 10GSAP
  11. 11Lenis
  12. 12WhatsApp Cloud API
  13. 13AWS SES
  14. 14MSG91
  15. 15Razorpay
  16. 16OpenAI / Anthropic
  17. 17Gotenberg
  18. 18Docker Compose