AI for accountants: a practitioner's map
The ledger is the easy part to automate. The part that eats a partner's week is what each client said, sent and still owes. Below: the kinds of AI tool accountants run into, separate notes for tax professionals and bookkeepers, what the professional rules say about client information, and where the client side fits.
AI in an accounting practice shows up in four kinds of tool, and the work that fills a partner's week sits around all of them. There is software that works inside the ledger: reconciliations, the close, journal entries. There are tax research platforms. There is bookkeeping software that categorises and posts. There are general assistants such as ChatGPT, Claude and Gemini. And there is the work around all of it that no ledger holds: the CFO's comment on a call about an accrual, the client who promised the 1099s by Friday, the PDF of a notice that arrived while you were in a review meeting.
A disclosure before going further. This guide is published by Equerry, a personal assistant for that client-side work. Equerry does not do the books, the close or the return. It does not connect to your ledger or your tax software, it does not research tax law, and nothing on this page is tax, legal or professional advice. The first part of the page maps the landscape on its own terms; Equerry comes in near the end, where it fits.
The four kinds of AI an accountant runs into
| Kind | What it is for | What to look at first |
|---|---|---|
| Close and ledger automation | Reconciliations, close checklists, draft journal entries, flux review | What it can post on its own, the review and approval trail, what your auditor will expect to see |
| Tax research platforms | Research questions, position analysis, drafting client memos from tax authority | What sources it answers from, how it cites, how you verify output |
| Bookkeeping software | Categorising transactions, bank feeds, accruals, management reports | How it handles exceptions, what you review before it reaches the client |
| General assistants (ChatGPT, Claude, Gemini) | Drafting, rewording and explaining, often with no client information involved | Which plan you are on, what you put in, what it keeps and whether you can see and delete it |
The examples below are named as examples of each category, in the vendors' own words and read on 2026-09-25. They are not recommendations, and there are others in every category; firms usually choose these tools through procurement rather than one practitioner at a time.
Close and ledger automation
This is the category most "AI for accounting" coverage is about. FloQast describes its agents this way: "Agents flow through every step. Reconciliations matched. Exceptions flagged. Journal entries drafted — continuously, not just at month-end. You review, you approve." Numeric's home page says: "The data platform for finance teams. Close, revenue recognition, and cash management with your ERP — or a full replacement when you're ready." Note FloQast's own wording: the software prepares, and a person approves. That is also where your review obligations sit.
General assistants
ChatGPT, Claude and Gemini are general-purpose assistants, not accounting systems. Many accountants use them for work that involves no client information: explaining a new standard in plain English for a client newsletter, restructuring an engagement letter paragraph, outlining a training session. The questions they raise are mostly about inputs. What happens to what you type depends on the plan and its settings, not the brand; on personal ChatGPT plans, a setting decides whether your new conversations can be used to train OpenAI's models, and our guide to AI for lawyers shows where it lives. The rules in the section below apply whichever assistant you use.
AI for tax professionals
Tax research is its own category. Thomson Reuters' page for CoCounsel Tax offers "Fast, defensible answers for tax research" and to "Research, analyze, and collaborate in one workspace integrated with Checkpoint and firm systems." Other research publishers offer comparable tools. Whatever the platform, the output is a starting point: you still check the authority it cites and own the position you take.
Tax professionals also carry two sets of rules that most AI coverage skips, both published by the IRS and the Treasury (read 2026-09-25):
- Circular 230. The IRS Office of Professional Responsibility describes it this way: "Circular 230 governs practice before the IRS by setting forth mandatory rules of conduct for tax professionals engaging with the IRS on taxpayers’ behalf, including mainly attorneys, certified public accountants, and enrolled agents. It establishes standards of competency, diligence, and other ethical behavior…" Whether and how those standards bear on a particular AI tool is for you and your firm to assess.
- IRC §7216. The Treasury regulation opens: "Section 7216(a) prescribes a criminal penalty for tax return preparers who knowingly or recklessly disclose or use tax return information for a purpose other than preparing a tax return." The regulations then set out permitted disclosures and the rules for taxpayer consent. Before any tax return information goes into a tool that is not part of preparing the return, check with your firm how these rules apply.
AI for bookkeepers
For bookkeepers, AI mostly arrives inside the bookkeeping software itself. Digits, for example, describes itself as "the first AI-native general ledger for business owners and accountants." Products in this category categorise transactions, draft accruals and produce reports, with the bookkeeper reviewing what the software proposes before it reaches the client.
Which rules apply to a bookkeeper depends on who you are and what you do, and the answer differs from practice to practice. The AICPA Code binds AICPA members. The FTC Safeguards Rule binds "financial institutions" as the rule defines them, and the FTC's own compliance guide says "what matters are the types of activities your business undertakes, not how you or others categorize your company." If you are unsure whether either applies to you, ask your professional body or adviser before deciding what client information goes into which tool.
What the professional rules say about client information
Four primary sources come up again and again. Each is quoted below as published and read on 2026-09-25, with who it binds. This is a reading list, not advice, and nothing here says any tool, Equerry included, meets any of them.
- AICPA Code of Professional Conduct (binds AICPA members; the confidentiality rule is written for members in public practice; updated for releases through September 2026). The Confidential Client Information Rule (1.700.001): "A member in public practice shall not disclose any confidential client information without the specific consent of the client." Its interpretation on disclosing information to a third-party service provider (1.700.040) says that before doing so, the member should either enter a contractual agreement with the provider "to maintain the confidentiality of the information and provide reasonable assurance that the third-party service provider has appropriate procedures in place to prevent the unauthorized release of confidential information to others," or "Obtain specific consent from the client before disclosing confidential client information to the third-party service provider."
- IRC §7216 and its regulations (bind tax return preparers, as the regulation defines them). Quoted in the tax section above.
- FTC Safeguards Rule (binds financial institutions under FTC jurisdiction; the FTC's guide lists "tax preparation firms" among the rule's examples). On vendors, the FTC's guide says: "Select service providers with the skills and experience to maintain appropriate safeguards. Your contracts must spell out your security expectations, build in ways to monitor your service provider’s work, and provide for periodic reassessments of their suitability for the job."
- IRS Publication 4557, Safeguarding Taxpayer Data (Rev. 6-2024, written for tax professionals): "According to the FTC Safeguards Rule, tax return preparers must create and enact security plans to protect client data." It points to Publication 5708 for building a written information security plan.
A practical reading of all four, not a legal one: know what information you are putting into a tool, know what the provider does with it, and have your firm's answer before you start rather than after.
The part the ledger doesn't hold: what each client said, sent and still owes
Close tools answer questions about the numbers. The question that fills a partner's week is usually about the client: What did the CFO say about the inventory reserve on Tuesday's call? Did they ever send the signed engagement letter? When did we tell them the extension deadline was? The answer is scattered across a call nobody wrote up, a thread in your inbox, a PDF the client attached and a note on your phone.
You can keep that record well without any AI, and most good practitioners already do some version of this:
- Write the post-call note in the first five minutes. What was decided, what the client asked for, what you owe and by when, and what they owe you. Our guide to keeping a record of client calls covers this in detail.
- Keep a client-owes list next to your you-owe list. Documents requested, date requested, date chased. In a busy season the late 1099 or the missing bank statement is what moves a filing date.
- Send the recap email. Two lines to the client after an important call put the record where both of you can find it and invite a correction while it is fresh.
- Put every deadline in one place. Filing dates, extension dates, the date you promised a draft. Our guide to keeping track of client follow-ups has a simple system.
The weak point is retrieval. The note exists, but finding it three months later means remembering where you put it, and the email that changed the answer arrived after you wrote it.
Where Equerry fits: a personal assistant for the client record
Equerry is a personal assistant who helps you get things done, and for an accountant that means the client side of the map, not the ledger. It keeps track of what you choose to share with it and briefs you from it, the way a good assistant keeps the file straight.
- CC it on the client thread that matters. Equerry has an address of its own at mail.getequerry.app. Forward it a thread, or add it to the CC line of a live one; forwarding delivers the thread as it stands, and only CC keeps later replies arriving for as long as the address stays on the thread. It never asks for access to your inbox; the original stays in your own mailbox. What Equerry remembered from it is listed in Settings → Your memory, each line marked as from that email, and you can delete any line.
- Save the PDFs a client sends. Share a PDF, a screenshot or a photo of a notice from your iPhone's share sheet, or type a note. The share sheet takes PDFs, images, links and text, not spreadsheets or Word files, so send the PDF of the trial balance rather than the workbook.
- Debrief the call by voice. Walking out of a client call, record a sixty-second voice note in Equerry: what the CFO said, what you promised, what they still owe. It transcribes it and remembers it. Equerry does not join or record your calls; the voice note is yours, made after the call.
- Ask in plain language. "What did the CFO say about the close?" is answered from the emails, notes and voice notes you gave it. When an answer draws on a note you saved, it carries a source chip: tap it to see the passage Equerry used and open the original.
- Get the deadline back on the day it matters. Ask Equerry to remind you of a filing date or of the paperwork a client promised, on the day you choose, and a Reminder brings it back then.
- Walk into the meeting briefed. If you allow calendar access, Equerry keeps a snapshot of your events from today through the next 14 days (titles, start and end times, locations and attendee display names, never event notes, meeting links or email addresses), and if you set up Meeting Prep, it puts together where things stand from what you have shared before each meeting. Calendar titles often name clients, so include the calendar in the question you put to your firm.
Some honest limits, in the spirit of the rules above. Equerry only knows what you send it, plus your calendar if you allow it; it cannot find the email you never forwarded. It is not practice-management, ledger or tax software and does not connect to any. Anyone on a thread can see the Equerry address on the CC line. And sending something to Equerry is still sharing it: what you send is processed to make it searchable and answerable, including by the outside providers named on our AI disclosure page. Equerry makes no claim about meeting the AICPA Code, §7216, the Safeguards Rule or any other rule. Whether and how client information, and tax return information in particular, goes into any tool, this one included, is a decision for you under your firm's policy, the rules that bind your practice and, where they require it, your client's consent. What it does change is scope: the question becomes about the specific threads and notes you chose to send (and your calendar, if you allowed it), rather than a whole mailbox.
If most of your client work runs through email, read our guide to choosing an AI email assistant next. If you also advise on investments, see AI for financial advisors; for the broader picture, Equerry for client-facing executives.
Sources, read 2026-09-25 unless noted. American Institute of CPAs, AICPA Code of Professional Conduct (updated for all official releases through September 2026), 1.700.001 and 1.700.040. Internal Revenue Service, Office of Professional Responsibility and Circular 230. 26 CFR §301.7216-1; IRS Section 7216 information center. Federal Trade Commission, FTC Safeguards Rule: What Your Business Needs to Know. IRS Publication 4557, Safeguarding Taxpayer Data (Rev. 6-2024). FloQast, home page. Numeric, home page. Thomson Reuters, CoCounsel Tax. Digits, home page. OpenAI, Data controls in ChatGPT (help center; read 2026-09-23). Vendors change their products and pages often; where a vendor's current page disagrees with this one, the vendor's page is right. This guide is general information, not tax, legal or professional advice.
Frequently asked questions
What is the best AI for accountants?
There isn't a single one, because the tools do different jobs. Close and reconciliation software works inside the ledger. Tax research platforms answer questions from tax authority and firm content. Bookkeeping software categorises transactions and keeps the books current. General assistants such as ChatGPT, Claude and Gemini help with drafting, rewording and explaining. And the client side of the work (what each client said, sent and still owes you) needs whatever keeps that record where you can ask about it. Choose by task, then check each tool against your firm's policy and the rules that apply to your practice. This page does not rank products.
Can accountants use ChatGPT with client data?
That is a question for your firm and the rules that bind your practice, not for a vendor or for this page. Three sources frame it. The AICPA Code of Professional Conduct says a member in public practice "shall not disclose any confidential client information without the specific consent of the client," and its third-party service provider interpretation (1.700.040) sets out what a member should do before disclosing confidential client information to a provider. For tax return information, the Treasury regulation under IRC §7216 explains that the statute "prescribes a criminal penalty for tax return preparers who knowingly or recklessly disclose or use tax return information for a purpose other than preparing a tax return." And the FTC Safeguards Rule asks covered firms to oversee their service providers. On the tool side, what happens to what you type depends on the ChatGPT plan and its settings; OpenAI documents them in its help center. This is general information, not legal or professional advice.
How are CPA firms using AI?
Through the same four kinds of tool: close and ledger automation, tax research platforms, bookkeeping software, and general assistants for drafting client emails and explanations. The vendors describe the first three in their own words (quoted, with dates, in the guide above). What stays with people is the review, the judgment on the position and the client relationship. The AICPA's Code of Professional Conduct, updated through September 2026, points members to a nonauthoritative staff article, Ethics Staff Insights: AI through an ethics lens, next to its confidentiality rule.
What AI tools do bookkeepers use?
Bookkeeping and general-ledger software is where most of it lives: automated categorisation, bank feeds, accruals and draft reports, with the bookkeeper reviewing what the software proposes. Some bookkeepers also use a general assistant to draft client emails or explain a report in plain language. Which rules apply depends on who you are and what you do: the AICPA Code binds its members, and the FTC says coverage under its Safeguards Rule turns on "the types of activities your business undertakes, not how you or others categorize your company." Check with your professional body or adviser.
Will AI replace accountants?
The tools on the market are built to take over preparation work, and their own descriptions keep a person in the approval seat: FloQast's site, for example, says of its agents, "You review, you approve." The professional rules also stay with the practitioner: Circular 230 sets standards of competency and diligence for people who practise before the IRS, and the AICPA Code's confidentiality rule applies to the member, not the software. What changes is the mix of work. Preparation gets faster; judgment, review and the client relationship stay with people. How that plays out in a given firm is a staffing decision.
Last updated 2026-09-25.
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