Meet Maya, the AI bookkeeper who reconciles your books and drafts your monthly reports.

What problem does an AI bookkeeper solve for a growing team?

Bookkeeping is the work that's never urgent until it's overdue. It doesn't need a CPA's judgement to do most of it — it needs someone to sit down, match every line, reconcile every account, and not get it wrong at the end of a long day. That's the job Maya owns, so your books stay current instead of becoming a month-end fire drill.

Transactions pile up uncategorised

Every card swipe, transfer, and deposit has to be coded to the right account, and the volume never stops. Left for the end of the month, it becomes hours of staring at a transaction list trying to remember what a six-week-old charge was for. Maya categorises transactions as you feed them in, learning your coding rules — this vendor is always software, that one is always travel — so the backlog clears itself and the few Maya is unsure of are the only ones you touch.

Reconciliation is exacting and easy to get wrong

Tying your books to the bank and card statements line by line is precise, repetitive work where a single transposed figure throws everything off. Doing it at 6pm is how errors creep in. Maya reconciles each account against the statement you upload, matches what ties out, and surfaces exactly the items that don't — a duplicate, a missing transaction, a figure that doesn't agree — instead of leaving you to hunt for the discrepancy.

Month-end close drags on for days

Closing the month means chasing the last few receipts, finishing categorisation, reconciling every account, and only then building the P&L and balance sheet. For most growing teams it's a recurring scramble that pushes real decisions a week later than they should be. Maya runs the close as a scheduled routine: it assembles the figures, drafts the statements, and lists what's still outstanding, so close becomes a review rather than a rebuild.

Your books are always slightly behind reality

When bookkeeping is squeezed into the gaps, the numbers you're looking at are usually weeks stale — which is no way to run cash. Because Maya works on a schedule and keeps the routine moving, your books reflect last week, not last quarter, and you can ask where you actually stand without waiting for someone to 'get the books up to date' first.

How does an AI bookkeeper work — and do I have to give it access to my bank?

Maya works from the records you provide, not by logging into your bank. You stay in control of what the teammate sees and what it's allowed to finalise. Here is the full loop.

Ground Maya in your books

Upload your chart of accounts, a few months of categorised history, and your vendor and rules. Maya reads them so transactions get coded the way your business actually does — not by generic accounting guesswork. This is what makes its categorisations correct rather than merely plausible.

Connect QuickBooks, Stripe, or upload your statements

Connect your accounting and payments tools — QuickBooks, Stripe, FreshBooks — so Maya works from live data, or simply upload your bank and card statements and exports (CSV, XLSX, PDF). Either way, the work comes from your records, and every connection is yours to approve.

Maya categorises and reconciles

Maya codes each transaction to the right account using your rules, then reconciles every account against its statement — matching what ties out and isolating the exceptions. The output is a structured result: what's categorised, what reconciled cleanly, and the specific items that need a decision.

Then it drafts the entries and the reports

Maya prepares the proposed entries and drafts your month-end statements — P&L, balance sheet, cash position — with every figure traceable to the transactions behind it. Set up as drafts, nothing is posted; it's a draft for you to check, exactly as a junior bookkeeper would hand you their work.

You review and approve

Read the reconciliation, resolve the flagged exceptions, and approve. Only then are entries final. Once you trust Maya on a routine — say, monthly card reconciliation — you can let it run on a schedule. Work it runs on its own never makes destructive or out-of-lane changes without checking with you first.

Maya works from uploaded files and the tools you connect and assign to it — not by logging into your bank. You decide how far it goes: ask for drafts and you get drafts; ask it to post and it posts. Every reply shows the steps taken and the sources used.

How Maya gets more useful over time

Maya isn't a tool you reconfigure each time. The longer it works with you, the less you have to repeat yourself — here's why.

A memory of your business

Maya keeps a private notebook of your chart of accounts and how you categorise transactions. It doesn't reset between sessions, so you stop re-explaining the basics.

Improves from your corrections

A daily reflection proposes up to three refinements to Maya's own instructions, which you approve — so it gets better at your books instead of repeating the same miss. Maya never "gets smarter" on its own.

Runs at the autonomy you set

You decide how independently Maya works on its own. Work the teammate starts itself — scheduled runs and follow-ups — never makes destructive or out-of-lane changes without checking with you first, and every decision is logged.

Where does an AI bookkeeper fit across different businesses?

Maya owns the same cycle — categorise, reconcile, report — but the books look different in every business. A few concrete situations:

Professional Services

Keeping a billable firm's books current

A small consultancy bills by project but lets bookkeeping slide during busy weeks. Maya categorises expenses against each client and project as they come in, reconciles the operating and card accounts every month, and drafts a P&L by client — so the partners can see which engagements actually made money without waiting for a quarter-end cleanup.

Books stay current weekly; per-client profitability visible every month.

Agencies

Multi-client expense coding at volume

An agency runs dozens of pass-through costs across many clients each month. Maya codes each transaction to the right client and category from the rules it's grounded in, flags anything that doesn't fit a known pattern, and reconciles the cards — turning a tedious re-billing reconciliation into a short review of just the exceptions.

Hours of monthly expense coding reduced to a review of the handful Maya is unsure of.

Retail & E-commerce

Reconciling sales, fees, and payouts

A small store's sales, platform fees, and payouts rarely line up cleanly. Maya pulls the payout data from a connected Stripe account and the orders from an uploaded store export, reconciles deposits against sales net of fees, and surfaces the gaps where a payout doesn't match — the discrepancies that otherwise go unnoticed until year-end.

Payout-to-sales gaps caught monthly instead of surfacing in a year-end scramble.

Finance & Operations

Running the month-end close on a schedule

A COO owns the close on top of everything else, and it always slips. Maya runs the close as a scheduled routine: it finishes categorisation, reconciles each account, drafts the P&L and cash position, and lists what's still outstanding — landing a review-ready draft on the same day every month instead of whenever someone gets to it.

Predictable close date; the COO reviews instead of rebuilds.

What does an AI bookkeeper connect to?

Maya connects to your accounting and payments tools and works from the documents you upload — through Kuvai's Connected Systems — only the tools you connect and assign to it.

Accounting & payments

QuickBooksStripeFreshBooks

Documents & exports

Uploaded bank & card statementsCSV / XLSX exportsPDF statements

Spreadsheets & records

Google SheetsGoogle DriveAirtableNotion

Notifications

SlackGmailGoogle Calendar

You connect each tool by signing in through its own OAuth screen — Kuvai never sees your password — and Maya only works in the tools you've connected and assigned to it. The teammate can connect to QuickBooks and Stripe and work from your uploaded statements and exports — and whether it drafts or posts is your call.

Is AI accurate and safe enough for bookkeeping?

Bookkeeping is where trust matters most, so Maya is built for businesses that can't afford a wrong entry. The safety model is simple: you decide how far Maya goes.

You decide what gets posted

Set Maya up to draft and it prepares the entries and the reports for you to approve before anything is posted. Ask it to post or reconcile in QuickBooks and it does what you asked. Work it starts on its own — scheduled runs and follow-ups — never makes destructive or out-of-lane changes without checking with you first.

Every figure shows its work

Each categorisation and reconciliation is traceable to the transactions and statements behind it, and every reply shows the steps taken and the sources used. You can always see what Maya did, why, and against which records — so the numbers are auditable, not a black box.

Maya stays in its lane

Maya does bookkeeping, not tax filing or financial advice. Anything outside the job it's set up for is flagged for you rather than guessed at — and the genuine judgement calls stay with you and your accountant.

How is an AI bookkeeper different from software, generic AI, or a bookkeeping service?

Bookkeeping software records what you enter; it doesn't do the categorising, reconciling, and chasing for you. Generic AI can answer accounting questions but doesn't know your chart of accounts, can't reconcile against your statements, and forgets your rules the moment the chat ends. A bookkeeping service does the work but on someone else's calendar, at a cost that climbs with volume, and with a back-and-forth every time something needs clarifying.

Maya sits in the gap between them: doing the recurring labour like a service, but grounded in your books and running on your schedule like software you own — and because it accumulates your context, it codes the way your business does and gets the routine right without re-explaining it. Maya handles the volume so your accountant's time goes to judgement, planning, and tax — the work that actually needs a professional. The teammate works alongside your finance team and the rest of your Kuvai AI team, not as a replacement for the expertise.Explore AI for accountants & finance teams