AI for Accounting Journal Entries: Draft, Check, and Approve

AI can help prepare accounting journal-entry drafts and explain proposed debits and credits, but a qualified person must verify the evidence, accounting treatment, and period before approving posting. Keep the AI output clearly marked as a draft. An entry that balances can still use the wrong accounts or recognize an amount in the wrong period.

Use fenbs to preserve the approved review procedure and track unresolved questions, while your accounting system holds the ledger and accounting approvals. The examples below are hypothetical educational illustrations of basic accrual accounting, not recommendations for a particular business or tax return.

What is a safe workflow for an AI-assisted entry?

1. Gather the source evidence and confirm the entity, accounting basis, reporting period, and approved chart of accounts.
2. Provide only permitted information to an approved AI tool, and request a draft with assumptions and missing facts.
3. Recalculate the amount and verify the proposed treatment against the applicable accounting framework and company policy.
4. Have the designated qualified reviewer resolve questions and approve the final entry through the established accounting process.
5. Post only the approved version, retain its supporting work, and check the resulting balances and reconciliations.

Keep preparation, review, approval, and posting visibly separate, according to your organization’s controls. Do not let a chat phrase such as “that looks right” substitute for the required approval. An unresolved question should remain open rather than disappearing when the entry is copied into another system.

AICPA & CIMA’s guidance on accountancy and AI-powered tools↗ (opens in a new tab) emphasizes verifying outputs, understanding tool limitations, protecting sensitive data, and retaining professional responsibility. Apply those principles before choosing where AI fits in your process.

What information does the draft need?

Describe the economic event rather than asking the tool to infer it from an amount. A payment could settle a payable, purchase an asset, prepay an expense, or represent something else. The cash movement alone does not determine the accounting treatment.

• Event and evidence: what happened, when, and which approved source documents support it.
• Context: the entity, currency, reporting period, and accounting basis.
• Accounts: the permitted account names or codes and any relevant company policy.
• Prior posting: what has already been recorded so the draft does not duplicate an entry.
• Unknowns: missing dates, uncertain terms, estimates, and questions requiring review.

Do not paste confidential invoices, bank details, employee records, or customer information into an unapproved AI service. Follow your firm’s rules for tool approval, permitted data, retention, and access. Practice the workflow on invented data before considering any live transaction.

Ask the AI to stop when a missing fact could change recognition or measurement. “Assume the invoice belongs to this month” is dangerous if that assumption determines the period. Request a question for the reviewer instead.

What would a basic prepaid-insurance draft look like?

Consider a simplified example: a company pays $1,200 on January 1 for insurance covering January through December evenly. Assume accrual accounting, no fees or taxes, and no prior posting. The initial entry records an asset; the month-end adjustment recognizes the portion used.

The monthly amount is $1,200 divided by 12, or $100. After the first adjustment, the prepaid balance is $1,100. The adjustment reduces the asset and recognizes expense; it does not record another cash payment.

This illustrates the prepaid-expense treatment described in OpenStax’s adjusting-entry explanation↗ (opens in a new tab). Real coverage terms, partial periods, the applicable framework, and the entity’s policy must be reviewed before using any similar entry.

A useful AI draft should show both entries only if you requested both and neither has already been posted. If the initial payment is already in the ledger, requesting it again would create a duplicate. Tell the tool exactly which step is under review.

Prepare a draft only. Under the stated accrual assumptions, show the January 31 adjustment for a $1,200 insurance policy covering January through December evenly. The January 1 payment was already posted to Prepaid insurance and Cash. Show the calculation, debit, credit, remaining prepaid balance, assumptions, and reviewer questions. Do not post or approve anything.

What must the reviewer check beyond equal debits and credits?

The IRS recordkeeping guidance↗ (opens in a new tab) explains that double-entry bookkeeping uses journals and ledgers and that total debits must equal total credits. It also discusses records that support and verify entries. Balancing is a necessary check in this system, but it does not establish that a transaction was recognized correctly.

• Occurrence and evidence: does the documented event support this entry?
• Completeness: is relevant information missing, and has the transaction already been posted?
• Period: does the entry belong in this reporting period?
• Classification: are the account, entity, and any required dimensions correct?
• Measurement: can the calculation, allocation, and currency treatment be reproduced?
• Support: are technical conclusions checked against the applicable authoritative guidance rather than an AI citation alone?

Do not accept an extra line labeled “rounding” or “adjustment” merely to make a draft balance. Trace the difference to its cause. Likewise, do not treat a fluent explanation as evidence that a complex lease, revenue arrangement, estimate, or tax issue has been analyzed properly.

Have a qualified professional handle judgments outside the preparer’s competence. For general question-answering rather than entry preparation, use the neighboring guide to AI for accounting questions.

How should you choose the tool and document its use?

The best tool for this job is one that fits your approved controls and produces a draft a reviewer can challenge. Assess its data handling, ability to show source references and calculations, and separation between proposing and posting. Test known examples, missing facts, and duplicate-entry scenarios before trusting the workflow.

Keep the approved entry, supporting documents, calculation, review evidence, and posting reference in the designated accounting records. Follow the organization’s documentation and retention requirements. A saved conversation or a task marked complete should not become the only support for a ledger posting.

The broader accounting assistant guide covers surrounding uses. For this task, the critical boundary is that an AI proposal reaches qualified review before it becomes a posted entry.

How to organize the review procedure with fenbs

1. Create a free account and add a project for improving your journal-entry review process.
2. Record the approved AI-use boundaries and review steps in Decisions and rules, without including confidential transaction data.
3. Create tasks for process gaps, such as an unclear duplicate check or an incomplete review checklist.
4. Have a connected assistant save Where we left off with the procedure being reviewed and the next process question for a person.

Use fenbs History to see who changed the project procedure. That history concerns the work recorded in fenbs; it is not the accounting system’s journal approval or posting trail.

fenbs is not an accounting ledger, tax engine, or journal-posting tool. If you need transaction approval, financial reporting controls, or ledger reconciliation, use the approved accounting system and qualified reviewers. fenbs fits the procedure and follow-up work around that process.

For related habits, see how to use AI at work and the AI at work hub. Begin with one invented entry and a review checklist you can explain without relying on the AI’s confidence.