AI Helped Tag the Books, Calculate Interest, and Close the Month
After learning how the business and corporate structure worked, AI helped review the books, tag transactions, calculate loan interest, make entries, and close things out.
The Problem
Bookkeeping is hard to delegate when the system has to understand the actual business structure, recurring rules, and special cases like intercompany loans before it can do useful work.
What Was Built
The business and corporate structure were explained to the AI first. Then it reviewed the books, tagged and labeled transactions, calculated loan interest where needed, created the journal entries for that work, and helped close out the books.
Where AI Sits in the Workflow
AI handled the structured bookkeeping work after being taught how the business was set up. A person still reviews the accounting treatment and final output before relying on it.
Tools Used
The Result
The close process moves faster because the system can do the repetitive accounting work once it understands the business structure.
Key Insight
AI becomes useful in bookkeeping after it understands how the business is actually structured.
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