Rowshni

Shedding light on your ledger

AI-powered reconciliation that illuminates variances, detects errors, and brings clarity to your month-end close.

ℹ️

Anonymous Mode

You can use all reconciliation features without signing in. Your work is saved locally in this browser session.

Workflow Progress

📁

Upload Files

Upload GL, subledger, and transaction data

Pending
🔗

Map Columns

Map your CSV columns to canonical fields

Pending
👁️

Preview Data

Review transformed data before running

Pending
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Run Agents

Execute reconciliation with AI agents

Pending

Upload Files

Upload your GL balance, subledger balance, and transaction files (CSV format).

Max 20MB

Column Mapping

Map your columns

Map CSV columns to canonical fields. Auto-suggest is available for quick setup.

No file uploaded for gl balance

Upload a file in the Upload Workspace above

Complete GL and Subledger mappings to continue

Sign in to save mappings across sessions

Data Preview

Upload and map your files to see a preview

Orchestrator

Multi-agent console

Launch Gemini AI agents for reconciliation analysis, bound by Spec-Kit schema v0.1.0.

What is this?

Variances above this amount are flagged as material and require investigation. Lower values = stricter reconciliation.

No data ready

Upload files and apply column mappings before running agents.

Sample data

Download test scenario files

Realistic reconciliation scenarios with proper accounting data. Each scenario tests specific use cases like balanced reconciliations, variances, timing differences, and multi-period analysis.

About Rowshni

Rowshni means "light". We illuminate your reconciliations with AI-powered insights, bringing clarity to complex financial data.

Tech Stack
AI Agents: 4Version: 0.1.0Fields: 11
  • Next.js 16 web application
  • Fastify orchestrator service
  • Spec-Kit contracts for data validation
  • Gemini 2.0 Flash (free tier) for AI agents
  • Better Auth + Vercel Postgres

Free AI Agents

Uses Gemini 2.0 Flash free tier (1500 runs/day). Cost: $0 per reconciliation.

Data Model

Agentic reconciliation workspace that ingests GL/subledger data, maps heterogeneous headers, and coordinates AI subagents.

Balance Fields

  • account coderequired
  • periodrequired
  • currencyoptional
  • amountrequired

Transaction Fields

  • account coderequired
  • booked atrequired
  • debitoptional
  • creditoptional
  • amountoptional
  • narrativeoptional
  • source periodoptional
AI Agent Pipeline

1. Data Validation Agent

Validates data quality and detects issues

2. Reconciliation Analyst

Analyzes variances and identifies patterns

3. Variance Investigator

Investigates material variances and root causes

4. Report Generator

Creates audit-ready documentation