AI Bookkeeping That Categorizes Every Transaction Automatically.
Pollarc reads your bank transactions, categorizes them by merchant and nature, matches them to invoices, and keeps your general ledger clean — daily, across every connected account.
Bookkeeping is the work of taking raw financial transactions and turning them into a clean, categorized, auditable record. It is also the work that most businesses defer, delegate to someone without enough context, or do badly because the volume is high and the rules are fiddly. Pollarc's AI Bookkeeping module handles this continuously: as transactions arrive from connected bank accounts, the AI reads each one, assigns it to a category, identifies what it is for, matches it to an invoice or bill where possible, and records it in a way that keeps the ledger clean and traceable.
Transactions that need human review are surfaced as exceptions rather than buried in a spreadsheet. The result is a ledger that stays current without someone sitting down to categorize transactions at the end of the month. By the time month-end comes around, most of the ledger is already clean, and the bookkeeper spends their time on the edge cases rather than the routine work.
What the module does
- 01
Automatic transaction categorization
Pollarc's AI assigns each incoming transaction to a category based on the merchant, the amount, the context of your accounts, and the patterns it has learned from your corrections. Categories follow standard bookkeeping types — income, expense, asset, liability — and can be mapped to your specific chart of accounts.
- 02
Invoice and bill matching
When a bank transaction looks like a payment or receipt related to an invoice or bill already in Pollarc, the module links them automatically, so the ledger shows not just that money moved but what it was for.
- 03
Continuous reconciliation
Connected bank and card accounts are reconciled against the ledger as transactions arrive, so discrepancies are visible as they happen rather than discovered during a month-end close.
- 04
Exception surfacing
Transactions that the AI cannot categorize confidently, that look unusual compared to your normal patterns, or that match multiple possible categories are flagged for review instead of guessed at.
- 05
Learning from corrections
When you adjust a categorization, the module records the correction and uses it to improve how it handles similar transactions in the future, so the ledger gets cleaner over time rather than requiring the same fix repeatedly.
- 06
Audit-ready ledger
Every categorization has a record of what was assigned, when, and why, so the ledger can be traced back through an audit without reconstructing decisions from memory.
A concrete example
A business with five connected bank and card accounts receives several hundred transactions each month — supplier payments, customer receipts, software subscriptions, travel costs, payroll-related transfers, and miscellaneous small items. Before Pollarc, the bookkeeper spent the last week of every month downloading statements, opening a spreadsheet, sorting transactions into categories one by one, matching payments to invoices by hand, and reconciling accounts that rarely agreed on the first pass.
With Pollarc's AI Bookkeeping, transactions are categorized and matched as they arrive. By the time month-end comes around, most of the ledger is already clean, the uncategorized items are visible on the exceptions list, and the bookkeeper spends their time reviewing the edge cases rather than doing the routine work. The ledger stays close to real-time instead of being a reconstruction of the previous month.
Let AI keep your ledger clean every day, not just at month-end.
Set up AI BookkeepingAutomatic categorization. Invoice matching. Continuous reconciliation.