Nine vendor pricing pages read directly

AI agent for accounting firms and bookkeeping with every tool priced per client

An accounting firm buys an AI agent to get bookkeeper hours back from categorizing bank feeds, matching receipts, chasing clients for documents and drafting the close. We read the pricing pages of nine products, from QuickBooks and Digits to Basis and Vic.ai, priced each one per client and in bookkeeper hours, and worked out when a custom agent on your own ledger costs less.

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the short answer

An AI agent for accounting categorizes bank transactions, matches receipts and bills, asks clients for what is missing, drafts reconciliations and prepares the month-end close, then leaves the exceptions for a human to review. Published prices run from $30 to $360 a month for an AI ledger (Puzzle, Digits), $129 a business a month for an AI bookkeeper on top of QuickBooks or Xero (Booke) and $494 to $719 a month for done-for-you AI bookkeeping (Zeni). Basis, Vic.ai and Karbon's AI Agents publish no price at all. At the $24.36 median hourly pay of a US bookkeeping clerk, a $129 per-client tool must save 5.3 hours a month per client to pay for itself. A custom agent costs about $7,200 to $33,000 once and wins for firms with more than a dozen write-up clients on one ledger.

The audit

What AI agents for accounting publish on their own pricing pages

Nine products a US accounting firm, bookkeeping practice or in-house finance team would realistically shortlist, each read from its own pricing page in September 2026. Where the price sits behind a demo, the row says so.

Product	What the AI does	Published pricing	Best fit
QuickBooks Online (Intuit)	Accounting AI cleans up the books and Payments AI chases invoices from Essentials; reconciliation and anomaly checks from Plus; Project Management and Finance AI on Advanced	Simple Start $38, Essentials $85, Plus $140, Advanced $340 a month list (50 percent off for 3 months)	Clients already on QuickBooks who want the built-in help first
Booke AI	AI bookkeeper on top of QuickBooks or Xero: daily bank feed categorization, document matching, missing-document requests, exception review with audit trail	$129 a business a month. Accounting firm plan with white label: pricing by request	Firms keeping clients on their existing ledger
Digits	An AI-native ledger with 24/7 AI bookkeeping, automated reconciliation and an Ask Digits assistant	Essentials $65, Core $100 a month (a $250 Pro plan is listed but not yet open). Firms: partner plans or outcome-based pricing, per-client rate not listed	Startups and small businesses willing to switch ledgers
Puzzle	AI ledger with auto-categorization, AI reconciliations, accuracy review and AI credits	Starter $30, Core $72, Complete $120, Scale $360 a month (20 percent off yearly). Expert-reviewed from $171	Founders doing their own books, with an accountant reviewing
Docyt	AI agents for revenue reconciliation and expense management, multi-entity, with bookkeeping experts	Plans start at $299 a month, quoted by transaction volume, entities and reporting needs	Multi-location operators such as hotel and franchise groups
Zeni	Done-for-you AI bookkeeping with a finance team behind it, plus CFO, tax and payroll services	Starter $494, Growth $719 a month billed annually ($549 and $799 monthly). CFO Lite from $1,599 plus $2,000 setup	Venture-backed startups that want the whole function outsourced
Karbon AI Agents	Bookkeeper, practice manager, tax preparer and client relationship agents inside Karbon practice management	Karbon itself $59 or $89 a user a month annual ($79 or $99 monthly). The agents are marked Early Access with no price	Firms already running their workflow in Karbon
Basis	Agents that prepare tax returns to review-ready workpapers, run client month-end closes and execute audit testing	Not published. Demo only	Mid-size and larger CPA firms with tax, CAS and audit lines
Vic.ai	Autonomous accounts payable: invoice intake, coding, approvals and payments at volume	Not published. The pricing page has no numbers	Mid-size and enterprise AP teams with hundreds of invoices a week

The pattern is the one we keep finding. The tools that publish a price are small-business ledgers and per-business bookkeepers, priced so a founder can buy on a card. The three that do real firm work, tax prep to workpapers, client closes, audit testing and AP at volume, hide the price behind a demo. Even the vendors that publish list prices keep the accounting firm version off the page: Booke, Digits and Docyt all quote firms separately. Ask for the price per client per year, in writing, and ask what happens to it when you add the fortieth client. It is the same split we found auditing AI agents for small business: the more of the job the agent does, the less likely the price is on the page. Digits is the one exception worth reading closely: it now bills firms only for clients it closes at 95 percent zero-touch, and our breakdown of Digits accounting pricing prices that model per client against QuickBooks and Booke.

The unit that matters

What an AI accounting agent costs per client and in bookkeeper hours

A firm thinks in clients, so that is the unit to compare. The Bureau of Labor Statistics puts median pay at $24.36 an hour for bookkeeping, accounting and auditing clerks and $40.23 an hour for accountants and auditors (May 2025). Divide each tool's monthly cost per client by those two numbers and you get the hours it has to save. These are wages before benefits and overhead, so the real break-even is a little lower.

Tool, per client	Per month	40 clients	Clerk hours to break even	Accountant hours
Puzzle Starter	$30	$1,200	1.2	0.7
Digits Essentials	$65	$2,600	2.7	1.6
Digits Core	$100	$4,000	4.1	2.5
Puzzle Complete	$120	$4,800	4.9	3.0
Booke AI (business list price)	$129	$5,160	5.3	3.2
Docyt (entry plan)	$299	$11,960	12.3	7.4
Basis, Vic.ai, Karbon AI Agents	Not published	Cannot be computed	Ask for the price per client per year

Two readings. First, for a single client every row is cheap: an AI bookkeeper that saves a clerk one afternoon a month has paid for itself. Second, the per-client price is the whole story for a firm. At 40 write-up clients the same $129 becomes $5,160 a month, which is more than a full-time clerk's median wage of about $4,220. That is why firm pricing lives behind a sales call, and why the firms with the most clients are the ones that end up building. The ledger tools (Digits, Puzzle) also carry a switching cost the table cannot show: every client has to move off QuickBooks or Xero first.

What it actually does

Six jobs an AI agent for bookkeeping takes off the team

Most of a write-up engagement is waiting on a bank feed, a receipt or a client email, then doing the same matching step again. Those are the jobs an agent does well, and the ones worth scoping first.

Bank feed categorization with client rules

Every new transaction coded to the client's own chart of accounts, using that client's history and your firm's rules, with a confidence score and the unsure ones held for review.

Receipt and bill matching

Documents from email, a client portal or a shared drive read and matched to the ledger entry, with the image attached so the audit trail is complete.

Missing-document requests

The agent lists what is unmatched per client and emails or texts the client a short, specific request, then chases on a schedule until it arrives.

Reconciliation drafts

Bank and card accounts reconciled to statements, differences listed with the likely cause, ready for a bookkeeper to approve rather than build.

Month-end close checklist

Accruals, recurring entries and flux analysis prepared against last month and last year, with a note on every line that moved more than your threshold.

Tax season intake

Organizers sent, W-2s and 1099s collected and read into the workpapers, and a list of what each client still owes you before the return can start.

Reconciliation is where most firms feel the hours, and it is also the job with the most finished software already on the market. If matching bank activity to the ledger is the only thing you need, dedicated account reconciliation software may do it for less than any agent. An agent earns its cost when it chains the jobs, coding a transaction, finding the receipt, asking the client for the one that is missing and noting it on the close checklist in one pass. Before any of it touches a live ledger, run it the way you would evaluate any AI agent before you ship it: on last year's closed books, where you already know every right answer.

Buy or build

When a custom accounting AI agent costs less than per-client tools

A custom agent that categorizes the bank feed and matches receipts in QuickBooks Online or Xero across all your clients is about 120 hours of work; adding client document requests, reconciliation drafts and a close checklist takes it toward 220. At the $60 to $150 an hour marketplace developers bill, that is $7,200 to $33,000. Spread over 24 months and add about $150 a month for model usage and hosting, and it costs $450 to $1,525 a month, however many clients it runs for.

Your practice	Per-client tool per month	Custom build per month	Verdict
Your own business, one set of books	$65 to $140 (Digits, QuickBooks Plus)	$450 to $1,525	Buy. The build never catches up
Solo bookkeeper, 8 clients on QuickBooks	$1,032 (Booke at $129)	$450 to $900 for a categorize-and-match agent	Buy first; build only if your rules differ per client
Firm with 40 write-up clients on QuickBooks or Xero	$5,160 at Booke list, less at a firm quote	$450 to $1,525	Build, or use the build quote to negotiate the firm price
Firm with its own practice management and per-client charts	Seats plus manual work the tools cannot reach	$450 to $1,525 for one agent across all clients	Build. Your rules and your workflow are the product
AP team, hundreds of invoices a week, one entity	Vic.ai quote	Comparable, plus your own controls testing	Get the quote first; build if it is priced per invoice and volume keeps growing

The crossover is lower than most firms expect. Against Booke's $129 list price, a custom agent at the bottom of the range pays back from about 4 clients and at the top from about 12. The honest catch is that the build price is set by scope, and a vague scope is how a 120 hour agent becomes a 220 hour one. "Automate bookkeeping" is expensive. "Code every QuickBooks Online bank transaction for these 40 clients using each client's last 12 months, hold anything under 90 percent confidence, and email the client a list of missing receipts every Friday" is cheap, because the developer is not guessing. Our AI agent development cost audit breaks those hours down by agent type, and our AI agent development company page shows what agencies charge when you would rather hand off the whole build.

The rules it has to follow

Four US rules every AI agent for accounting firms must be built around

The FTC Safeguards Rule. Under the Gramm-Leach-Bliley Act, tax preparers and many accounting firms count as financial institutions. The rule requires a written information security program, a qualified person in charge of it, encryption and multi-factor authentication, and oversight of every service provider that touches customer data, which includes an AI vendor or the developer who builds your agent. Since May 13, 2024, a breach affecting 500 or more consumers must also be reported to the FTC.

Section 7216 for tax return data. Using or disclosing tax return information for anything other than preparing the return needs the taxpayer's written consent, and knowing misuse is a federal misdemeanor. A service provider that helps prepare the return is allowed, but an AI vendor that keeps client data to train its models is a question to put in writing before you upload a single W-2.

IRS Publication 4557 and the WISP. The IRS expects every professional preparer to keep a written information security plan. An agent with API access to client ledgers belongs in it: what it can read, what it can post, where its logs live and who can switch it off.

Professional standards on your sign-off. The AICPA's standards and, for audit work, the evidence standards still put the judgment on the CPA. An agent can draft a reconciliation or run a test, but the firm has to be able to show what it did and who reviewed it. In practice a well-built accounting agent logs every entry it posts with its reason and source document, never posts above a threshold without human approval, and keeps client data out of model training. Ask any vendor for a SOC 2 Type II report; a custom build should have the same controls in the scope from day one.

How it works

From your firm's workflow to a working AI accounting agent

01

Describe the bottleneck

In the hire brief at the top of this page, name the ledger (QuickBooks Online, Xero, NetSuite), your practice management system, how many clients and where the hours go: categorizing, matching, chasing clients, closing. Two minutes.

02

Get a scoped brief with hours

The brief comes back with the integrations named, an effort band in hours and whether a ready-made agent from the library already covers it, so you can compare it with the per-client prices above in the same unit.

03

Pick a developer who has built on your ledger

Matched specialists show their rate and the QuickBooks, Xero or NetSuite integrations they have shipped. You agree the rate directly, with no hire fee on the Growth plan.

04

Test on last year's books, then go live on five clients

Run the agent on a closed period whose answers you know, compare its coding with what your team posted, set the confidence threshold, then switch it on for five clients before the rest.

The honest version

Where BotGigs fits, and where an off-the-shelf tool is the better buy

BotGigs does not sell a ledger or a bookkeeping service. It is a marketplace: a library of ready-made agents and vetted developers who build custom ones. Buyers pay $99 a month on the Growth plan to keep a job on the board, with no hire fee, and agree the rate with the specialist directly. See BotGigs pricing for the plans.

That is the wrong purchase for a business owner with one set of books; turn on the AI in QuickBooks or try Digits this afternoon. It is the right one for a firm with dozens of write-up clients on the same ledger, its own rules per client, a practice management system the vendors do not reach, or a partner who wants to own the logic the firm will have to defend to a client or a regulator. If the work is broader than accounting, our page on AI for financial services covers lending, wealth and payments builds, and you can hire AI engineers on a contract basis if you would rather keep the build in house.

Questions

Questions firms ask before buying an AI agent for accounting

Can AI agents do accounting?

Yes, the repetitive part of it. AI agents already categorize bank transactions, match receipts and bills to entries, chase clients for missing documents, draft reconciliations and prepare close checklists. They do not sign off. A CPA or senior bookkeeper still reviews the exceptions, owns the judgment calls and signs the return or the financial statements.

What is the best AI agent for accounting?

It depends on what the firm already runs. Firms keeping clients on QuickBooks Online or Xero usually want an agent that works on top of that ledger, such as Booke at $129 a business a month. Businesses willing to switch ledgers can use Digits ($65 to $250) or Puzzle ($30 to $360), which build the AI into the books. Firms with their own workflow get more from a custom agent.

How much does an AI accounting agent cost?

On the vendors own pricing pages, $30 to $360 a month for an AI ledger (Puzzle, Digits), $129 a business a month for an AI bookkeeper on top of QuickBooks or Xero (Booke), $299 a month and up for Docyt, and $494 to $719 a month for Zeni done-for-you bookkeeping. Basis, Vic.ai and Karbon AI Agents publish no price. A custom agent costs about $7,200 to $33,000 to build.

Will AI replace accountants?

No. It replaces hours, not the license. AI agents take the data entry, matching and first-draft work that used to fill a junior bookkeeper's week, and the accountant moves to review, advisory and exceptions. The firms that gain are the ones that price per client or per engagement, because the saved hours become margin instead of lower billable time.

Is it safe to give an AI agent client financial data?

It can be, if the setup meets the rules a US firm already works under. The FTC Safeguards Rule requires a written security program and oversight of service providers. Tax preparers face Section 7216 limits on using and disclosing return data. Ask any vendor for a SOC 2 Type II report, where data is processed, and whether it is used to train models.

Can AI do bookkeeping in QuickBooks?

Yes. QuickBooks Online now includes its own Accounting AI on Essentials ($85 a month) and a reconciliation agent from Plus ($140 a month). Third-party agents such as Booke connect to QuickBooks Online through its API to categorize the bank feed, match documents and flag exceptions. A custom agent can do the same with your firm's own rules per client.

Should an accounting firm build its own AI agent?

Build when the firm has more than roughly a dozen write-up clients on the same ledger, a per-client chart of accounts or rules the off-the-shelf tools ignore, or a practice management system they do not connect to. Spread over 24 months a custom agent costs about $450 to $1,525 a month for every client, while a per-business tool at $129 costs $5,160 a month for 40 clients.

How long does it take to build an AI agent for accounting?

A focused agent that categorizes the bank feed and matches receipts in QuickBooks Online or Xero for many clients takes about 120 hours, roughly four to six weeks for one developer. Adding client document requests, reconciliation drafts and a close checklist takes it toward 220 hours. Most of the time goes into the ledger integration and into testing on last year's books.