AI bookkeeping software you can actually audit

Most AI bookkeeping tools ask you to trust a black box. fiscal50 posts entries with a reason attached. Each bank or card transaction gets a recommended category, account and contact, a confidence level and a short explanation. Confident matches post as balanced double-entry journal entries; the rest wait for your one-click review.

See it work

From bank feed to balanced books, in a few clicks

Transactions sync, the AI recommends how to book each one with a reason, and when you post, a balanced journal entry is recorded.

Why it matters

Where the AI does the work

AI is used where bookkeeping is repetitive and pattern-based, and stays visible when it acts.

fiscal50 AI recommendations assigning expense entries, vendors and accounts to bank transactions

Categorization

Category, account, vendor or customer for every transaction, learned from how your books were kept before.

Matching

Deposits matched to open invoices and withdrawals to bills, comparing the transaction’s date, description and amount.

Auto-reconciliation

Ending balances predicted and checked against the bank, then each month reconciled in turn until something needs you.

Answers and tasks

Fifty answers how-to questions, reads figures from your books and creates invoices, bills and payments from the chat after you confirm.

In practice

Where you stay in charge

Automation should save time without hiding decisions.

You post

Recommendations are pre-selected, but nothing reaches your books until you post it.

Readable explanations

Every recommendation shows its reason, a confidence score and the evidence behind it.

Reversible

Send any posted entry back to pending, edit it or reclassify in bulk.

Locked periods

Closed months cannot change, so reported numbers stay reported.

For bookkeepers

How does a bookkeeper review AI recommendations for each client?

The AI prepares each entry; the bookkeeper decides. The review happens inside each client’s own fiscal50 books, one transaction at a time or in bulk.

How Banks to Books recommends

Each bank or card transaction arrives with a pre-selected recommendation: the category or account, the vendor or customer, a reason, a confidence percentage and the evidence behind it.

How you review each entry

Accept the recommendation or change it, then click Post. A posted transaction is a balanced double-entry journal entry, and you can send it back to pending, edit it or reclassify it later while the month is open.

Ledger-native, not an add-on

The recommendation is made, posted and reconciled in the same books, so there is no separate app to sync and no second copy of the transaction to keep in step with the ledger.

Across every client

In the Bookkeeper Workspace, each client’s Banks to Books backlog shows on one dashboard, and rules you approve in client AI memory apply to that client only.

See the Bookkeeper Workspace

FAQ

Questions people ask

What is AI bookkeeping software?

AI bookkeeping software uses machine learning to categorize transactions, match payments and prepare journal entries that a bookkeeper would otherwise do by hand. fiscal50 adds a reason, a confidence level and the evidence to every recommendation, and you post it.

Is AI bookkeeping accurate?

Accuracy improves as fiscal50 learns from how you record transactions. Each recommendation shows its reason, confidence and evidence, and nothing posts until you confirm it, so mistakes are easy to spot and correct.

Does AI bookkeeping replace my accountant?

It removes data entry and routine categorization. You can keep working with an accountant or bookkeeper, who gets their own login and cleaner books to review.

How does a bookkeeper check AI-categorized transactions?

In Banks to Books each transaction shows the recommended account and contact with a reason, a confidence percentage and the evidence. The bookkeeper accepts or changes it and clicks Post. Nothing reaches the books until then, and posted entries can be sent back to pending while the month is open.

What is the difference between ledger-native AI and an AI add-on?

Ledger-native AI works inside the accounting software: in fiscal50 the recommendation is made in Banks to Books, posted as a journal entry and reconciled in the same books. An add-on is a separate app that categorizes transactions and sends the results to the accounting software through an integration.

Make this the last month you do bookkeeping by hand.

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