Every transaction.
Coded. Explained.
Category and class, on arrival
Every transaction mapped to the right account and the right department, automatically.
A vendor agent of its own
Raw bank descriptors resolved to real vendors, with duplicates caught and merged.
Governed, not just automated
Every decision carries its reasoning, its confidence, and a full change history.
Land, code, clear.
Zeni works on top of the ledger you already keep in QuickBooks Online or NetSuite. Nothing to configure: once your accounts are connected, coding runs continuously in the background.
Transactions land
Bank and card activity flows into Zeni automatically. No imports, no CSV uploads.
The AI Accountant codes it
Category, class, and vendor are assigned on arrival, each with a confidence level attached.
You review the exceptions
Low-confidence calls wait in Pending Review. Everything else is already done.
Coded to your chart of accounts, split by your departments.
Each transaction is mapped to the right account and the right class in one pass, using how your business actually records spend rather than a generic template. Your P&L and your departmental reporting line up without a cleanup pass at the end of the month.
Every charge, matched to a real vendor.
A bank feed hands you SQ *DBA COFFEE 4412. Zeni's vendor agent resolves it to the real vendor, matches it to the record you already have instead of creating a fifth spelling of it, and merges the duplicates that crept in before you arrived. Correct one, and the correction carries forward.
Automation you can check yourself.
Every accounting tool claims to be automated. Zeni shows you the split on your own ledger, month by month.
Coded vs. touched
Filter any period to what the AI Accountant coded and what a human changed.
Completion at a glance
Every close shows how much of the month is coded and what's still open.
Confidence on the record
Every decision carries the confidence behind it, so the soft calls are easy to find.
Every decision your AI makes is on the record.
Each coding decision carries the reasoning that produced it, the confidence behind it, and a record of what changed and when. Closed periods are a hard stop: the agent does not touch them. You can audit the why, not just the what, which is more than a manually kept ledger usually captures.
Work the exceptions, not the ledger.
Zeni sorts every transaction into what's settled and what needs a person. You open a short queue instead of a full month of line items, and you can always filter to see exactly what the AI Accountant coded versus what a human touched.
Three models. Trained on your business.
Your books don't look like anyone else's, so the AI that codes them shouldn't either. Every Zeni customer gets their own set of models, trained on the history already in their books. There's nothing for you to configure.
It matches your own history
New charges get coded the way you've always coded the ones that look like them.
It knows your chart of accounts
Trained on your accounts, your classes, and the shape of your business, not a generic ledger.
It pulls the context first
Vendor records, prior decisions, and your accounting policies are retrieved before anything is coded.
Ask about a transaction, right on the transaction.
Comment on any transaction, @mention a teammate or your Zeni finance team, and attach the receipt or contract the question is really about. Resolve the thread when it's settled. The question, the answer, and the decision stay on the record.
Clean books for founders.
Less grunt work for finance.
Founders & Budget Owners
You need spend that's already in the right bucket, without spending your week putting it there.
- See where spend actually landed, by category and by department
- Check the reasoning behind a charge before a board meeting
- Ask a question right on the transaction instead of sending an email
- Trust the departmental split in a report you're about to send
CFO, Controllers & Accountants
You need clean, explained transactions underneath every close, not a coding backlog.
- Work a Pending Review queue instead of a full ledger
- Filter to what the AI coded versus what a human touched
- Carry coded transactions straight into reconciliation and flux analysis
- Hand an auditor the reasoning behind any decision on the books
Where your close actually starts.
Month-end close falls apart when the transactions underneath it aren't coded. Zeni codes them continuously instead of in a batch at close, so reconciliation, journal entries, and flux analysis all begin from clean data. Transactions is the first step of AI Month-End Close, and it runs all month long.
