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AI in Finance

Plain-English queries on live ledger data

Published Mar 2026
4 min read
Author: Yasir Sheikh
Ledjr Insights // Series 2026

Every week, executives ask questions about the numbers: 'Who are our top five vendors by spend increase?' or 'How does SaaS spend this month compare to our Q1 forecast?' For most finance teams, answering this requires exporting CSVs from the ERP, manually joining tables in Excel, and formatting a chart. By the time the chart is ready, the data is already stale.

Breaking the Spreadsheet Addiction

Spreadsheets are powerful, but they represent a security risk and version-control challenge. When financial data leaves the secure ERP environment, companies lose visibility into who has accessed it or how formulas have been altered. Relying on exports also slows down strategic conversations.

Natural Language to SQL Ledger Translation

Ledjr translates natural language questions into precise database queries that run directly on live ERP ledger tables. Because the AI is pre-trained on accounting structures, it understands the difference between an accrued liability and a cash payment.

SQL
SELECT vendor_name, SUM(amount) 
FROM ledger_entries 
WHERE category = 'Software' 
  AND entry_date >= '2026-01-01'
GROUP BY vendor_name 
ORDER BY SUM(amount) DESC 
LIMIT 5;

Crucially, Ledjr doesn't just display a number. It provides interactive, cited tables where every sum can be clicked to trace back to individual journal entries and source invoices. CFOs and executives get the answers they need instantly, with absolute audit trust.

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