AI Automation · Sub-service

Finance automation that reconciles the ledger, not just the paperwork.

Finance automation covers accounts payable, invoice processing, and settlement reconciliation. Transactions get matched against your ledger, exceptions route to a human, and postings happen only after approval. It runs on the same engine reconciling ₹2Cr+ per month across 4 acquirer rails for a fifty-branch retail group.

SPECS
LIVE
Reconciled / Month₹2Cr+
Settlement Credits~1,000 / month
Acquirer Rails4
Manual Entries Cut2,400–3,000 / month
StatusAccepting Clients
RegionKochi · India
Book a 30-min audit
// 01. Overview

What is finance automation?

Finance automation is software that captures invoices, bank settlements, and payment-rail data. It matches them against your ledger records, and posts confirmed entries automatically. Anything that doesn’t match gets routed to a human instead of guessed. It replaces the manual, hand-keyed reconciliation that eats finance-team hours every month-end.

WHY IT MATTERS

This is a vertical build, not a generic workflow. It has to understand acquirer settlement formats, multi-entity chart-of-accounts structures, and the specific posting conventions your finance team already relies on.…

// 02. Outcomes

What this unlocks for your team

₹2Cr+ reconciled monthly

Card and UPI settlements matched against the ledger every day, not batched into a month-end scramble.

2,400–3,000 fewer hand-keyed entries

Journal entries that used to be typed one by one now post automatically once a settlement matches. Each one keeps a full audit trail.

Exceptions surfaced, never guessed

Anything that doesn’t match — a missing settlement, a rail mismatch, a duplicate — is routed to a human, not silently reconciled.

Built for multi-entity structures

Engineered against 52 Odoo companies and 4 acquirer rails simultaneously — not a single-entity demo that breaks at real scale.

// 03. How It Works

How does finance automation actually work?

A finance automation build runs in five stages. Map the current close process end to end. Connect the rails — acquirers, banks, ERP. Build the matching engine against your ledger. Add an exception queue with a human approval gate. Run in parallel with the manual process, before cutting over completely.

01

Map the current close

Document every reconciliation step your finance team runs today — sources, formats, timing, and the judgement calls made when something doesn’t match.

02

Connect the rails

Wire in acquirer settlement feeds, bank statements, and your ERP (Odoo, Tally, Zoho Books) as structured data sources, not manual exports.

03

Build the matching engine

Transactions get matched against ledger records on the same posting conventions your team already uses. Those conventions are reverse-engineered from historical entries, not invented fresh.

04

Exception queue + approval gate

Anything that doesn’t match cleanly lands in a queue for a human to resolve. Nothing posts automatically without passing the match.

05

Run in parallel, then cut over

The automated and manual processes run side by side until the numbers agree consistently. Then the manual process retires — never a cold cutover.

// 04. Use Cases

Where teams deploy this

Card + UPI settlement reconciliation

Matching acquirer settlement batches against POS transactions across multiple rails and multiple store entities.

Accounts payable

Invoice capture and matching against purchase orders and goods receipts, with exceptions routed for approval before posting.

Multi-entity month-end close

Consolidated reconciliation across dozens of legal entities on a shared chart of accounts, without a spreadsheet marathon.

Vendor statement matching

Cross-checking vendor-supplied statements against your own payable ledger to catch missed or duplicate postings.

Retail / franchise settlement audit

Reconciling dozens or hundreds of store locations against a single acquirer or banking relationship.

Historical ledger audit

Reverse-engineering years of posting conventions from historical journal entries before automating anything — the step most vendors skip.

// 05. Tools & Integrations

Built on best-in-class tools

9 core integrations
Odoo
Tally
Zoho Books
n8n
Razorpay
PayU
Claude
PostgreSQL
Slack
// 06. The Neogen Automation Stack

Built on the same engine running Parakkat Finance Automation

Every finance automation build starts with an audit of your actual historical postings — not a generic template. For a fifty-branch jewellery retail group, we audited roughly 27,000 historical journal entries. That reverse-engineered their existing conventions before we wrote a single automation rule. The result: ₹2Cr+ reconciled monthly, and ~1,000 settlement credits matched across 4 acquirer rails. Also, 122 automated tests run against 9,462 shop × date × rail batches every cycle. Live in production since 2026-07-07.

  • Historical ledger audit before any automation rule is written
  • Exception queue with a human approval gate — nothing posts blind
  • Multi-entity support across dozens of ERP company records
  • Full audit trail on every automated posting
  • 122 automated tests re-run against real batch data
  • Runs in parallel with your existing process before cutover — never a cold switch
Client love

What clients say about this work.

CA Anirudh Varma

CA Anirudh Varma

Internal Audit Team, Parakkat Jewels

Neogen Media helped us successfully implement an AI agent ecosystem that has made our work faster, more organised and productive. Their team understood our requirements and built a practical system with the right level of human control. A reliable partner for businesses looking to adopt AI meaningfully. — Internal Audit Team, Parakkat Jewels
AI Finance Automation
Read the case study· Daily Card and UPI Reconciliation Across ~50 Shops, Posted to the Ledger Only on Approval
Abhilash Cherian

Abhilash Cherian

Accounts Manager - Parakkat Group

As the Accounts Manager at Parakkat Group, the AI agent ecosystem implemented by Neogen Media has made our financial workflows faster and more organised. Accessing information, tracking updates and managing routine follow-ups now take much less manual effort. It has become a valuable part of our daily work. — Accounts Manager, Parakkat Group
Automated Finance Operations
Read the case study· Daily Card and UPI Reconciliation Across ~50 Shops, Posted to the Ledger Only on Approval
CA Gautham NS

CA Gautham NS

Internal Auditor - Parakkat Jewels

Our entire office now works through the AI agent ecosystem supported by Neogen . It has made everyday work faster, more organised and easier to manage across teams. The system has genuinely improved how we operate.
// Verified
Next Step

Stop reconciling settlements by hand at month-end.

Free 30-minute audit with a finance automation engineer. Bring one month of settlement and ledger data. We’ll show you where the matching engine would catch what your current process misses.

Book a Strategy Call
30 MINFREE AUDITNO DECKNO OBLIGATION
Or send us a WhatsApp
// What You Walk Away With
  • 01

    A map of every manual task worth automating

  • 02

    Ballpark ROI on your top 3 automation opportunities

  • 03

    Honest read on whether we are a fit — or who is

Usually responds within 24 hours
// 06. FAQ

Finance & reconciliation automation — what finance leaders ask

Built from a real multi-entity retail deployment, not a demo.

// Pillar

Custom AI agents, finance automation, voice agents, WhatsApp bots, website chatbots, CRM routing, and n8n workflows built for Indian businesses.

View all AI Automation services