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Fintech

Ledgerly Finance Suite

Automated reconciliation for $40M+ monthly transaction volume.

Timeline
20 weeks
Team
6 engineers
Status
Live
Client
Scale-up
Completed
2024
Services
Custom Software, AI Automation, API Development
ReactTypeScriptNode.jsPostgreSQLSupabaseClaudeVercelAWS

Executive summary

The outcome, first.

Ledgerly's finance team manually reconciled tens of thousands of transactions every month, a slow and error-prone process that didn't scale.

NWARRAH built an automated reconciliation engine with AI-assisted matching, full audit trails and a clean approval workflow.

Finance now reviews exceptions instead of every line, with confidence that every match is explainable and auditable.

Client challenge

The problem

Manual reconciliation was becoming a bottleneck and a compliance risk.

  • Thousands of transactions reconciled by hand each week
  • Errors were costly and hard to trace after the fact
  • No unified audit trail across payment providers
  • Month-end close took far too long
  • Scaling volume meant scaling the finance team

Discovery

How we de-risked it

We worked with finance and compliance to model matching rules and audit requirements.

  • Documented every reconciliation rule and edge case
  • Mapped data feeds from each payment provider
  • Defined audit and compliance requirements up front
  • Modeled AI-assisted matching with human-in-the-loop review
  • Risk-assessed automation against financial accuracy

Solution

How NWARRAH solved it.

An automated, explainable reconciliation engine with finance in control.

AI-assisted matching

Probable matches surfaced with clear reasoning.

Full audit trail

Every action and match is logged and explainable.

Exception workflow

Finance reviews only what needs a human.

Secure by design

Least-privilege access and encryption throughout.

System architecture

Engineered to last.

A clean, observable data flow from interface to infrastructure.

  1. Finance Workspace

    React reconciliation and approval UI.

  2. API Layer

    Typed services with strict validation.

  3. Matching Engine

    Rule-based + AI-assisted transaction matching.

  4. PostgreSQL

    Immutable ledger and audit store.

  5. Automation

    Scheduled imports and exception routing.

  6. Admin & Audit

    Rules, roles and compliance reporting.

Features

What we shipped.

Authentication

Hardened auth with SSO support.

RBAC

Granular finance and admin roles.

Reporting

Close, audit and compliance reports.

AI matching

Explainable transaction matching.

Automation

Scheduled imports and reconciliation.

Audit log

Complete, immutable activity history.

Concept artifacts

How the system fits together.

These are illustrative engineering artifacts of the delivered system. Live product screenshots are published here as each client approves them.

Business results

Measurable impact.

$0M+

Monthly volume automated

0%

Auto-matched transactions

0%

Faster month-end close

0%

Match accuracy

"We close the books in days, not weeks — and every number is auditable. NWARRAH understood finance, not just software."

Priya Nair

Head of Finance, Ledgerly

Engineering insights

Decisions that mattered.

Immutable ledger

An append-only store guarantees a tamper-evident audit trail.

Human-in-the-loop AI

AI proposes, finance approves — accuracy and trust stay intact.

Idempotent imports

Provider feeds can be re-ingested safely without double-counting.

Let's build something together.

Tell us the outcome you need. We'll engineer the system that gets you there.