Client bookkeeping intake
Pull transactions, receipts, and statements together and prep the coding for review — the same clean starting point across every client.
AI for accounting & bookkeeping firms
AI for accounting firms — without giving up control of your clients' data.
The firms that get AI right aren't the ones who move fastest — they're the ones that verify where client data goes and match approval to risk. We build AI workflows for accounting and bookkeeping firms that cut repetitive client work while keeping data boundaries, access, and sensitive decisions controlled.
- Provider controls verifiedProduct, settings, feedback choices, and contract define the training boundary
- Risk-tiered approvalSensitive and high-impact actions always require a named person
- Est. 35–50 hrs/moRecovered on one manual process in a finance & payments case
The real question
For a firm, it was never "does AI save time"
You run books, payroll, and tax for clients who trust you with their most private numbers. So the question that actually matters isn't whether AI helps — it's where that data goes and who can see it. Get that answer right and the time savings take care of themselves. Get it wrong and no efficiency is worth it.
- 01Client financial data stays yours
- 02Provider product, settings, and contract are verified
- 03Private boundaries include every connected data path
- 04Approval requirements match the action's risk
Where to start
Firm workflows worth automating.
The best first candidates are the repetitive, document-heavy jobs you repeat across every client — the ones that eat junior hours and never quite get caught up.
Chasing client documents
Request, track, and follow up on the records you're always waiting on, so month-end doesn't stall on a missing receipt.
Reconciliation & year-end prep
Surface bank and credit-card exceptions and assemble working papers, ready for a person to review and sign off.
How your clients' data stays yours
Controlled AI, not autonomous AI.
Every workflow we build for a firm is designed around the same three controls — so automation makes the work easier to review, not harder to trust.
Verified data boundary
Official commercial provider products exclude customer inputs and outputs from training by default, subject to settings, feedback or opt-in choices, and contract. A self-hosted boundary applies only when connectors, logging, telemetry, and backups are also scoped.
Risk-tiered approval
Sensitive and high-impact actions always require named human approval. Bounded low-risk actions may run automatically only when explicitly approved, tested, logged, and reversible.
Least access, per client
Roles and permissions keep each client's data separated and reachable only by the right people — least access by default.
Want the plain-English version of provider training defaults, private deployment boundaries, risk-tiered approval, and audit controls? It's all on one page.
See how we protect dataBefore you book
Questions from firms like yours.
Is our clients' data used to train AI models?
Official commercial, business, enterprise, and API products exclude customer inputs and outputs from model training by default, subject to product settings, feedback or opt-in choices, and the governing contract. For self-hosted work, data can remain within the configured environment only when the deployment, connectors, logging, telemetry, and backups are scoped that way.
Do we have to move off QuickBooks, Xero, or our existing tools?
Usually no. The first build works around the cloud accounting tools, portals, and inboxes you already use, then can integrate more deeply once the first workflow proves its value.
Does the AI file, send, or approve anything on its own?
Sensitive or high-impact actions — including client filings, external sends, and financial decisions — always require named human approval. Bounded low-risk actions may run automatically only when explicitly approved, tested, logged, and reversible.
How does this fit our confidentiality and PIPEDA obligations?
We build to support your data-control, access, and audit requirements and work within your existing policies. You keep control of the data and a clear record of every step. We are not a substitute for your professional judgment or compliance obligations.
Can it work across many clients, not just one set of books?
Yes. The workflows are built for firm work — the same repetitive process repeated across many clients — with per-client separation and review requirements assigned by risk.
Start with one process