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AI & AutomationWeb Development

Multi-entity ledger automation cut a two-week close to minutes.

Global Technology Enterprise · Technology

Headline result
99%

of manual ledger creation time eliminated — freeing the accounts team from weeks of manual data-wrangling every close.

Client
Global Technology Enterprise
Industry
Technology
Services
AI & Automation · Web Development
Timeline
1 month
Tech / Tools
React · Node.js · QuickBooks API · Microsoft Copilot Studio
The Challenge

Multi-entity ledger automation cut a two-week close to minutes.

Each month, the accounts department built the consolidated ledger by hand, pulling data from four separate companies that each ran on different charts of accounts and different currencies. Every account had to be manually mapped, converted at the correct exchange rate, and adjusted for intercompany eliminations before it could be entered.

The process routinely took two people close to two weeks to complete. With that many manual touchpoints and rules to apply correctly, the close was slow, error-prone, and a recurring drag on the wider finance function.

The Approach

The Codaires Method, applied.

Four phases, from mapping the process to running it autonomously in production.

STEP 01 — DISCOVER

Mapped every ledger rule

We ran working sessions with the accounts team to document the full manual process — every formula, currency conversion, and intercompany elimination rule used across the four entities.

STEP 02 — ARCHITECT

Designed a unified ledger app

We architected a custom React and Node.js web application integrated directly with QuickBooks, paired with a Microsoft Copilot Studio agent to guide account selection.

STEP 03 — AUTOMATE

Automated the multi-entity pull

The app pulls the selected accounts across all four companies, applies the currency and elimination rules automatically, and outputs the finished ledger — no manual entry required.

STEP 04 — SCALE

Handed over to the finance team

Once live, the tool was handed over to the accounts team to run independently each month — freeing the two analysts who used to build the ledger by hand for higher-value work.

The Results

Measured after the engagement.

99%
Ledger creation time removed
98%+
Automated ledger accuracy
2
Analysts freed from manual ledger work
4
Entities consolidated every close
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