ChatGPT for Accounting: Drafts, Research, and Human Review

ChatGPT can help accountants research standards, draft explanations, structure client communications, and prepare for conversations with clients or auditors. It does not replace the professional judgment that accounting requires, and it must not handle client financial records. Tools like fenbs keep approved working rules and non-sensitive review tasks in a shared record that every AI-assisted session starts from.

Accounting work splits into two parts: the technical side — ledger entries, reconciliations, tax calculations — and the communication and research side. AI is useful in the second part. The first part stays in your accounting software and your professional process.

Researching accounting standards and guidance

When a client presents an unusual transaction, an accountant may need to research how it should be treated under US GAAP, IFRS, or the relevant tax code. ChatGPT can explain the general framework for a topic — revenue recognition under ASC 606, lease accounting under ASC 842, or the treatment of a specific deduction — and help you frame the question before you check the authoritative source.

Always verify against the authoritative source. The FASB's codification↗ (opens in a new tab) is the authoritative standard for US GAAP. IRS publications and the Internal Revenue Code↗ (opens in a new tab) govern federal tax. ChatGPT explains concepts well but may not reflect the most current guidance or the specific nuance your situation requires.

ChatGPT is useful for translating technical standards into plain language — for a client explanation, a training note for a junior staff member, or a summary for a non-accountant. The translation still needs review by someone who knows the standard.

Drafting client communications

Engagement letters, management letters, client update emails, and explanation memos are all candidates for AI-assisted drafting. Give ChatGPT the technical conclusion, the audience's level of accounting knowledge, and any specific points to include or avoid, and ask for a draft.

Before any client communication goes out, confirm that every technical statement is accurate, the tone is appropriate for the relationship, and any required disclosures are present. A management letter that contains an error in describing an accounting treatment is a professional liability, regardless of how it was drafted.

Do not paste client names, account numbers, tax identification numbers, or financial data into ChatGPT. The draft should describe the type of situation and the general facts — not the client's specific records. Keep all identifying and financial information in your compliant practice management systems.

Audit and review preparation

Preparing for an audit involves organizing documentation, anticipating questions, and being able to explain accounting treatments clearly. ChatGPT can help you prepare by drafting explanations of a position, generating a list of questions an auditor might ask about a specific treatment, or structuring a workpaper summary narrative.

For tax representation or audit defense, work with a CPA or tax attorney. ChatGPT can help you think through a question and prepare your explanation, but professional responsibility for the position and the representation stays with the licensed practitioner.

• Describe a transaction type and ask ChatGPT what questions an auditor typically raises about it.
• Paste in a draft workpaper narrative and ask for a plain-language version for the client file.
• Use ChatGPT to draft an explanation of a technical standard for a client who is not an accountant.
• Always review for accuracy before any AI-drafted content goes into a final document or client communication.

Tax research and analysis preparation

Tax research involves a well-known process: understand the facts, identify the issues, find the authorities, and analyze how they apply. ChatGPT can help at each step by suggesting relevant code sections to review, explaining the background of a provision, or helping you organize your analysis once you have the authorities.

For tax advice that will be relied on by a client, the analysis needs to be performed by or reviewed by a licensed tax professional. The AICPA's Statements on Standards for Tax Services↗ (opens in a new tab) govern tax practice standards for CPAs. AI-assisted research does not satisfy those standards on its own.

For a broader view of how AI fits into professional financial work, see ChatGPT for finance work.

fenbs Where we left off keeps the current state of each engagement: what was completed, what is waiting on the client, and what the next step is. A connected assistant reads that before starting, so you spend the session doing accounting work rather than reconstructing the context from email threads and notes.

How to do this with fenbs

1. Create a free account. Add a project for your practice or for a recurring client engagement type.
2. Add tasks for recurring work phases: research, draft, partner review, client delivery, file sign-off. Move them through the board as each step is completed.
3. Open Decisions and rules. Record firm policies that AI-assisted work must follow: which authorities to check, the review chain for client letters, confidentiality requirements.
4. Connect your AI assistant from Integrations. Ask it to read the project context at the start of each session.
5. Keep all client-identifying and financial data out of fenbs entirely. fenbs holds working rules, process tasks, and non-sensitive context — not client records.
6. Record what went smoothly and what needed correction in a Lesson learned when an engagement closes.