The Bkper Agent extracts transaction data and learns your bookkeeping patterns. When you correct a transaction, it learns and applies that knowledge to future documents. By your third upload, the Agent auto-assigns accounts with 90%+ accuracy.
You've downloaded another bank statement. 47 lines. Each one needs categorization. You know this will take the rest of your afternoon—clicking through menus and dropdowns, verifying accounts, just to make sure they are categorized the same way as last month.
Traditional document processing chains you to scanning, batch or manual entry, validation, and approval—multiple handoffs where errors hide and time disappears. The Bkper Agent collapses this into one cycle: upload, review, correct and post. Done in 10 minutes. Each correction trains the Agent, moving you toward 99% direct posting without manual corrections.
Bank statements, receipts, and invoices become transactions inside your book. The Agent sees your Chart of Accounts and learns your categorization patterns. When it processes an "Office Supplies" invoice, it knows how you categorized office purchases before—and assigns the same accounts.
Each correction teaches the Agent to improve future extractions. The system gets smarter with every transaction you review.
Discovers patterns from your existing Transaction history. Knows 'Uber to airport' categorizes differently than 'Uber to client meeting.'
Documents live with transactions, not in separate file storage like Dropbox or Box. No managing multiple systems—everything in one place with full financial context.
Add new entities instantly—each book learns independently. No workflows to rebuild, no retraining needed across your organization.
Complete data isolation per book. Secure API calls to Google Gemini. Your documents never train public AI models.
Upload and go. No databases, mappings, or rules to configure. Learns from existing transactions automatically.
