Without categories, transactions are just noise
A list of operations "payment 3400", "transfer 12000" says nothing until sorted into categories: rent, purchases, salaries, ads. Categorization is the foundation of all financial analysis. It used to take hours by hand; now AI sorts fast and you check.
How AI categorizes
AI looks at the operation description, recipient, amount, regularity and assigns a category. "Payment to Romashka LLC, monthly, 50000" to likely rent. "Uber" to transport. It handles most operations automatically, saving a lot of time.
Ambiguous operations under human control
AI confidently sorts the typical but stumbles on the ambiguous: an unclear transfer, a "shared" operation (part personal, part business), a non-standard recipient. Check these by hand ā in finance a wrong category distorts the whole analysis and, more importantly, can create reporting problems.
A consistent category system
Set up a clear set of categories and stick to it month over month. Then you can compare periods and see the dynamics. Ask AI to help build a category system for your business and hold to it. Chaotic categories make analysis meaningless.
Rule: AI categorizes fast, but check ambiguous operations yourself. A consistent category system month over month makes analysis meaningful.
š§ Which operations are especially important to check by hand?