Categorization
Effortless, adaptive, automatic AI categorization
Digits AGL provides a layered approach to AI-native categorization, allowing API developers to invoke sophisticated ledger automation with minimal effort.
API developers provide any available information about the intended bookkeeping of a transaction, and the AGL will research the context of the transaction to apply the right category. The category context can be as specific or general as needed. For example, Digits routinely gets great results with simple Uncategorized Expense AI Category Labels and raw transaction descriptions.
User-edited categorizations tune company- and firm-specific predictions, allowing AI categorization to follow the bookkeeping conventions specific to each company. Low confidence predictions (if any) are surfaced by the AGL, enabling human oversight and 100% correctness.
AI categorization is essential for API authors!
Digits enables API developers to write raw transactions to category labels such as
Uncategorized Expense, and Digits AI will produce high-quality categorizations based on the entry's context, such as its description and party.
Updated 6 days ago