Technologies

Case study · ArthaMatrix

Financial statements that finish themselves.

For two practising Chartered Accountants building a fintech venture, BLG built ArthaMatrix from scratch — a financial-statement automation product for Non-Corporate Entities and LLPs, and the entire launch platform that sells it.

A chartered accountant reviewing financial statements
Client
ArthaMatrix Technologies LLP
Sector
Fintech · CA software
Engagement
BLG-led build

The challenge

Professional judgment, lost to formatting work.

CA firms preparing financial statements for NCEs and LLPs rely on manual, Excel-heavy workflows — a segment underserved by accounting software built around corporate Schedule III formats rather than the ICAI Guidance Note requirements that actually govern this reporting.

The founders’ thesis: this is review work being lost to re-keying work — and it can be automated without giving up the sign-off discipline a CA firm needs.

The traditional closing cycle

  • Hours lost per engagement pulling and re-formatting Tally data into Excel
  • Ledger-to-schedule mapping hand-keyed, redone every single year
  • Fragile spreadsheet formulas hiding silent calculation errors
  • Debtor/creditor ageing built ad-hoc — ~3 hours per client
  • Senior-staff dependency capping how fast the firm can scale

What we built

From Tally trial balance to signed, audit-ready financials.

Mapping

Imports Tally ledgers and classifies them with AI against ICAI Guidance Note groupings — 47 ledgers in about 4 seconds. Mappings are remembered firm-wide, year over year.

Reports

A live exception scanner surfacing opening-balance variances, reverse balances, dormant ledgers, and negative cash or stock — 12+ built-in checks before finalisation.

Financials

Generates the full Balance Sheet and P&L with comparatives, regrouping, and rounding handled automatically — in the ICAI-prescribed NCE/LLP presentation.

Ratios

10+ liquidity, leverage, and efficiency ratios computed straight from the financials, with automatic red-flag thresholds.

Ageing

Debtor and creditor ageing computed directly from ledger vouchers — specific-first or pure FIFO basis — with MSME and overdue red-flag detection.

Roles

An Article → Manager → Partner review-and-sign workflow, with tamper-evident locking once financials are marked reviewed.

Data stays with the firm: client data lives locally on the user’s machine, not in the cloud. For AI-assisted mapping, only the ledger name and its Tally group leave the system — no other financial data.

Beyond the product

The launch platform, end to end.

A product needs a front door. BLG built the complete go-to-market machine — from first visit through demo booking to paid licence and automatic installer delivery.

  • Marketing site — fast, framework-free, with live product demos per module
  • Checkout wired to Razorpay for licence payment, driven by a live pricing API
  • Demo-booking and download flows backed by ArthaMatrix's own lead APIs
  • Versioned installer delivery, triggered automatically after purchase
  • GA4 plus a lightweight custom analytics layer
  • Containerised staging and production deployments (Nginx + Docker)

The outcome

A venture launched, not just software shipped.

6
Product modules, mapping to sign-off
~4s
To classify 47 ledgers with AI
12+
Built-in exception checks
3-tier
Review & sign-off workflow

Prospective CA firms can understand the problem, see every module with realistic previews, compare pricing, and move directly to a demo or a paid licence — visit arthamatrix.com.

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