DIGITARAXDIGITARAXINNOVATIONS
Demo recorded on Finance Intelligence's sample data. Demonstrated on a fictional technology company, Demo Technologies Group ($185M revenue, 12 entities), closing its March 2026 books. All data shown is illustrative and fictional — no real client information is used in this demo.

What it does

CFO Command Center

Real-time close progress with KPI tiles for revenue, EBITDA and cash, alongside a live status grid spanning revenue, AP, AR, payroll and bank reconciliation.

Reconciliation Intelligence

Automatically flags bank-vs-GL differences, with per-transaction evidence dialogs explaining exactly why each item doesn't match.

Expense Intelligence

Answers "why are expenses higher this month?" by surfacing category-level drivers and AI-flagged unusual transactions.

CFO AI Assistant

A structured, non-generic Q&A assistant that answers close-related questions with sourced, document-backed summaries.

Agentic Close Workflow

A visual pipeline showing exactly which steps are AI-automated, system-triggered, or require human approval.

Executive Summary

One-click, board-ready AI-generated narrative summarizing close status and key financial changes, flagged for finance review before distribution.

Inside the product

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Who it's for

CFOs, corporate controllers, and finance operations teams at multi-entity companies who own the month-end close process.

Illustrative Scenario

Explaining a $110,000 Reconciliation Gap in Minutes, Not Days

The challenge

A finance team closing the books across 12 entities each month spent days manually chasing down small reconciliation differences between bank statements and the general ledger.

The approach

DIGITARAX Finance Intelligence automatically matches transactions, isolates the handful that don't reconcile, and links each one back to the underlying bank and GL evidence so a controller can resolve it with one click.

Illustrative outcome

In this scenario, a $110,000 bank-to-GL gap was traced to three specific transactions — each with its evidence attached — instead of triggering a multi-day manual investigation.

This is an illustrative scenario built to show how Finance Intelligence works, not a report of a named client engagement. Actual results vary and should be validated during a proof of concept.