Justin McKelvey
Ran snowboard shops. Taught myself to code. Now I build AI that does real work.
AI for Accountants (2026): Which Tool Does Which Job, What a Seat Costs, and the Client-Data Rules
The short answer
AI for accountants in 2026 means three kinds of tools: a general assistant (ChatGPT, Claude or Microsoft 365 Copilot) for the writing and thinking around the numbers, the AI already built into your ledger and tax software for the numbers themselves, and specialist tools for research, close and audit. The business seat costs $20 to $25 a person a month. The rules decide the rest: client data only on a business plan your security plan lists, and tax return information only after the firm decides its Section 7216 position in writing.
Most "AI for accountants" pages are a list of 25 tools with a logo next to each. That's the wrong first question. The first question is which client data is allowed where, because the IRS and the FTC already answered part of it for you, and a tool list skips straight past that. This page goes job by job, then rule by rule, then dollar by dollar, for the CPA, the bookkeeper and the owner who has to sign off.
The three kinds of AI an accounting firm can use
- A general assistant. ChatGPT, Claude or Microsoft 365 Copilot. It writes, summarizes, explains, drafts formulas and reads documents you give it. It's very good with the language around the numbers and should never be trusted to do the arithmetic that ends up in a client deliverable.
- The AI inside software you already pay for. Your ledger, your tax software and your practice-management tool keep adding AI features: categorization, document intake, anomaly flags. The advantage is that the data never leaves a vendor you already chose and (hopefully) already listed in your security plan. Read each vendor's own terms before you switch a feature on.
- Specialist tools. Tax research, close management, audit analytics, document extraction. Buy one only when a specific job is eating hours and neither of the first two can do it. Each one is another vendor holding client data, with everything that means below.
Start with the first two. Many small firms never need the third. The owner-level version of that decision, with a 90-day order of installs, is in AI for accounting firms.
Which job goes to which tool
The column that matters is the last one. It's the data rule each job runs under.
| Job | Best fit | Client data allowed? |
|---|---|---|
| Engagement letters and proposals from your own templates | General assistant | Name and scope only, on a business plan |
| Document-request and missing-items emails | General assistant | Name and the list of missing forms, on a business plan |
| Month-end and onboarding procedure docs | General assistant | None needed |
| Excel formulas, macros, cleaning a messy export | General assistant or Copilot in Excel | Use column headers or fake rows, not the real file |
| Transaction categorization and bank feeds | AI inside the ledger | Stays with the ledger vendor |
| Reading W-2s, 1099s and K-1s into a return | AI inside the tax software | Tax return information: only under the firm's written 7216 position |
| First draft of a tax research memo | General assistant or a tax research tool | Facts with names removed; verify every cite |
| Variance commentary and client-ready summaries | General assistant | Business plan, with a person checking every number |
Read the table as three tiers. Jobs that need no client data can start this week on any business plan. Jobs that touch client data run only on a business plan your security plan lists. Jobs that touch tax return information wait for a written firm decision. If you only want the ChatGPT side of this, with a never-paste list for one tool, see ChatGPT for accountants.
The client-data rules, in plain words
I'm not a CPA or a lawyer, so this is a summary of what the IRS and FTC publish, not advice on your firm. Two sets of rules apply to most US firms that prepare returns.
Section 7216: tax return information
The regulations under Section 7216 are older than every AI tool on the market (the final rules took effect December 28, 2012), and they never mention AI by name. What they do say, read on eCFR today:
- Knowingly or recklessly disclosing or using tax return information for anything other than preparing the return is a misdemeanor, with up to one year in prison, a $1,000 fine, or both (Treas. Reg. 301.7216-1(a)). The related civil penalty is $250 per disclosure, capped at $10,000 a year.
- A preparer can share return information with a contractor that programs, maintains, tests or supplies software used to prepare returns, only as far as the job needs and only after giving that contractor a written notice of the rules (301.7216-2(d)(2)).
- Anything else that isn't specifically allowed needs the taxpayer's signed and dated consent first (301.7216-3). A consent with no end date lasts one year from signing, and one document can't cover both a use and a disclosure; those need separate consents.
Whether pasting a client's return into a general assistant fits any of those paths is a question for your firm and its advisors. Until someone answers it in writing, the safe default is simple: tax return information doesn't go into a general assistant.
The FTC Safeguards Rule: your written security plan
This is the rule most AI articles skip. IRS Publication 4557 says the FTC Safeguards Rule treats professional tax preparers as financial institutions and requires a written information security plan (a WISP). The plan has to name a qualified person in charge, require multi-factor login for anyone who accesses customer information ("required for all companies regardless of size"), assess risks, oversee service providers under contracts that require safeguards, and train staff.
Now read the FTC's definition of a service provider: any person or entity that "receives, maintains, processes, or otherwise is permitted access to customer information" through services to the firm. An AI tool your staff pastes client information into reads a lot like that. In practice, that means four things for the rollout:
- The AI tool goes on the WISP's vendor list, with the plan and the data terms you're relying on.
- Every seat logs in with MFA, which the business plans support (OpenAI lists SAML, SSO and MFA on ChatGPT Business).
- The AI rules go into the same security training staff already get.
- Personal accounts are out. Anthropic's pricing page lists model training as an opt-out on its individual plans and off by default on Team. A firm can't oversee a vendor relationship that lives on someone's personal login.
One more number worth knowing: the FTC requires notice to the FTC no later than 30 days after discovering a breach involving at least 500 consumers' unencrypted information. AI doesn't change that rule. It does add one more place a breach can start.
If you're an AICPA member, the Code of Professional Conduct also has confidentiality rules for third-party providers. Its text sits behind a member login, so read it there rather than in a blog summary.
Which AI is best for accountants?
The one in the software your firm already lives in, on a business plan. That's the boring answer, and it's right for most firms under 20 people.
- Outlook, Excel, Teams and SharePoint all day? Microsoft 365 Copilot. Microsoft lists Copilot inside Word, Excel, Outlook and Teams, so it works where the spreadsheet and the inbox already are. Plan details are on Microsoft 365 Copilot pricing.
- Staff already using ChatGPT on their own? Move them to ChatGPT Business before anything else. Same tool, with no training on your business data by default and an admin who can see the seats.
- Long documents, research memos, procedure writing? Claude Team is a good fit when most of the work is reading and writing long material. Same $20 annual seat, 2 to 150 people.
Two seats for different staff is fine. Three overlapping subscriptions on personal cards is how a firm ends up with client data in places nobody listed.
What it costs: a 5-person firm
Prices read on each vendor's own page on November 9, 2026, per person per month:
| Plan | Annual billing | Monthly billing | 5 people, a year (annual) |
|---|---|---|---|
| ChatGPT Business (Standard seat) | $20 | $25 | $1,200 |
| Claude Team (Standard seat) | $20 | $25 | $1,200 |
| Microsoft 365 Business Standard with Copilot | $23.50 | see Microsoft | $1,410 |
The Microsoft line includes the Office apps and business email, so for a firm already paying for Microsoft 365 the real cost is the difference from what you pay today. Both ChatGPT and Claude also sell a Premium seat ($100 a month annually) for heavy users; most staff don't need it. Monthly billing on five seats costs $300 more a year than annual, which is the price of finding out whether people actually use it before you commit.
The seat is the small number. The bigger cost is the hours spent setting up rules, templates and training, or the hours lost when nobody does.
Where AI goes wrong in an accounting firm
- The assistant does the math. It will produce a confident total that's off. Numbers in a deliverable come from the ledger or the spreadsheet, and a person checks them.
- A research memo cites something that doesn't exist. Treat every code section, regulation and ruling in an AI draft as unverified until someone opens the source.
- Shadow accounts. The staff member on a personal plan, pasting a client export at 11pm in March. Fix this first, before buying anything new.
- Connectors nobody mapped. Business plans connect to email, drives and file storage. Decide which folders the AI can reach before turning connectors on, or the client files get swept in along with everything else.
Bookkeeping practices hit a slightly different version of these, mostly around categorization and month-end, covered in ChatGPT for bookkeepers.
Who can help an accounting firm choose and set up AI?
I do this for accounting, CPA and bookkeeping firms: pick the plan, write the data rules your staff follows, set up the general assistant in the tool your team already uses, and train the people who'll use it. The first step is a free 30-minute strategy call where you get a straight answer on what's worth doing first. If you want a written plan, the AI Readiness Assessment is $2,500 flat over two weeks, and it's credited in full if a rollout starts within 90 days. Rollouts of Claude, ChatGPT Business or Microsoft 365 Copilot start at $4,500 and take about two weeks. I don't set up tax, audit or practice-management software (those come from their vendors), and the Section 7216 calls stay with your firm and its advisors. Everything, including the call, is on AI consulting for accounting firms.
Today's micro-action
Ask everyone in the firm one question: "Which AI tools have you used for client work this year, and on what login?" Write the answers in one list. That list is the first draft of the AI section of your WISP, and it tells you which seats to buy before you buy anything else.
Sources
IRS Publication 4557, Safeguarding Taxpayer Data (Rev. 5-2024), irs.gov (read November 9, 2026); IRS, Section 7216 information center, irs.gov (read November 9, 2026); 26 CFR 301.7216-1, 301.7216-2 and 301.7216-3, ecfr.gov (read November 9, 2026); FTC, "FTC Safeguards Rule: What Your Business Needs to Know," ftc.gov (read November 9, 2026); OpenAI, ChatGPT Business pricing, openai.com/business/pricing (read November 9, 2026); Anthropic, Claude pricing, claude.com/pricing (read November 9, 2026); Microsoft, Microsoft 365 Copilot business pricing, microsoft.com (read November 9, 2026). The 5-person totals are our arithmetic. This page summarizes published rules and is not tax or legal advice.
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Frequently Asked Questions
- What is the best AI for accountants?
- The business plan of the assistant your firm already works in. A firm that lives in Outlook and Excel usually gets the most from Microsoft 365 Copilot. A firm whose staff already uses ChatGPT or Claude should move them to ChatGPT Business or Claude Team, which list no training on your business data by default. Then add the AI already inside your ledger and tax software, and buy a specialist tool only for a job the general assistant can't do.
- Can accountants put client data into ChatGPT or Claude?
- Only on a business plan, only after the tool is in the firm's written information security plan, and tax return information only after the firm has a written Section 7216 position. The regulations make knowingly or recklessly disclosing or using tax return information outside return preparation a misdemeanor, and the civil penalty is $250 per disclosure. Personal accounts on consumer plans are the first thing to fix.
- Does an AI tool have to be in our WISP?
- If staff put client information into it, it very likely belongs there. IRS Publication 4557 says the FTC Safeguards Rule requires tax return preparers to have a written information security plan, and the FTC defines a service provider as anyone that receives, processes or is permitted access to customer information through services to the firm. The plan has to cover how you pick and oversee those providers, MFA for anyone accessing customer information, and staff training.
- How much does AI cost an accounting firm per person?
- As of November 9, 2026, ChatGPT Business and Claude Team are each $20 a seat a month billed annually, or $25 monthly. Microsoft 365 Business Standard with Copilot is $23.50 a user a month paid yearly, and that price includes the Office apps and email. A 5-person firm pays about $1,200 a year for ChatGPT Business or Claude Team on annual billing.
- Is AI for CPAs different from AI for bookkeepers?
- The tools are the same. The rules get stricter as the work gets closer to a tax return. A bookkeeper drafting client emails and month-end procedures can start on a business plan right away. A CPA preparing returns is a tax return preparer under Section 7216, so anything involving return information waits for the firm's written decision on consent and vendors.
More on AI for Business
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Written by
Justin McKelvey
I spent 12 years running snowboard and mountain-bike shops in Colorado, then taught myself to code. Since then: 50+ products shipped, Head of Product at a national sports platform, CTO at an AI startup. Now I put AI to work in real businesses in Austin, TX and remote, and write down what actually works.
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