Bank statement data arrives as messy, truncated text strings riddled with payment processor prefixes, store numbers, and cryptic merchant abbreviations. Traditional rules-based bank feed automations fail when clients visit new vendors, split single transactions across multiple expense categories, or purchase items from big-box retailers where the merchant name alone provides zero context about the business purpose.
Legacy accounting platforms depend on rigid static mapping rules that break frequently and demand continuous manual maintenance. Because these systems cannot read attached invoices or deduce context from past client emails, accountants must dump thousands of ambiguous transactions into suspense accounts, triggering lengthy back-and-forth query cycles with clients to close the books.