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Nika

AI for Automated Expense Categorization

AI for expense categorization reads each receipt and supplier invoice, identifies the supplier and the nature of the purchase, and assigns it to the correct expense category in your chart of accounts. Nika applies the category you have configured for known suppliers and flags new or ambiguous ones for your decision, from $0.40 per processed document, with no monthly minimum.

Every receipt and invoice sorted into the right category the day it arrives — not reconstructed from a pile at month-end.

Expense categorization is the step after data entry — and it is where most miscategorisations happen. A receipt from a software vendor could be software, IT services, or subscriptions depending on your chart of accounts. Done at month-end from a pile of faded receipts, it becomes guesswork: the person sorting does not remember what each purchase was for, and the category chosen is often wrong. Wrong categories mean wrong profit figures and missed tax deductions.

Nika categorises expenses the day they arrive. For suppliers you have configured — your hosting provider goes to IT, your courier goes to logistics — she applies the category automatically. For a new supplier or a purchase that does not fit an obvious category, she flags it for your decision rather than guessing. Your expense breakdown is accurate throughout the month, and month-end becomes a confirmation, not a reconstruction.

How Nika does this

  1. Nika reads each receipt or invoice and identifies the supplier and purchase type.
  2. For known suppliers she applies the category you have configured; for new ones she flags for your decision.
  3. Your expense categories are accurate every day — no month-end sorting session.

Questions

How does Nika learn my chart of accounts?

You map your existing suppliers to expense categories once — either directly in your accounting system or in a configuration Nika reads. After that, she applies the mapping automatically. You can change a mapping at any time, and she applies the new category going forward. There is no machine-learning black box — the rules are yours.

What happens when a supplier sells different types of goods?

Where a supplier consistently maps to one category — your internet provider, your office cleaner — Nika applies it automatically. Where a supplier like a large retailer could map to several categories depending on the purchase, Nika reads the line items where available and flags for your review where the category is ambiguous. She does not guess.

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