AI-Assisted Bookkeeping: What Online Merchants Should Check

November 2026
AI-assisted features are becoming more visible in accounting software and related services. For an online merchant, they may promise help with tasks such as categorising transactions or finding unusual entries. But an ecommerce connection that transfers information is not necessarily using AI, and an AI suggestion is not necessarily an approved accounting decision. Understanding that difference can help merchants and accountants decide where these tools fit—and where a person should remain involved.
AI suggestions are different from fixed rules
Many bookkeeping tasks can already be automated without AI. A fixed rule might say that transactions from a particular supplier should be assigned to a particular expense account. The rule follows the condition it was given; it does not need to interpret the transaction each time.
An AI-assisted feature may instead use available information to suggest a category, identify a possible duplicate or draw attention to an unusual transaction. What it can actually do depends on the product and its settings. Some features only offer suggestions, while others may be able to make changes automatically if the user permits it.
The distinction matters because a plausible suggestion can still be wrong. A description may be incomplete, a supplier may sell several types of product, or a transaction may need treatment that depends on information outside the software. An unusual entry is not automatically an error, either: it might reflect a legitimate one-off purchase or a seasonal change in sales.
Ask the provider which tasks use AI, what information the feature considers and whether suggestions are applied automatically. Also check whether users can see why a suggestion was made. Explanations may not be available for every feature, so the underlying evidence may still need to be checked separately.
Keep people responsible for the decisions
Before enabling a feature, agree with your accountant who will review its output and who can approve changes. For example, a merchant might review suggested categories during the week, while the accountant checks exceptions and significant adjustments at month-end. The right division of work depends on the business and the service the accountant provides.
Pay particular attention to decisions that affect tax, asset purchases or the treatment of owner transactions. An automated suggestion may not have the context needed to make those decisions correctly. Where the treatment is uncertain, retain the relevant invoice or other evidence and ask an appropriately qualified adviser.
It is also worth checking how corrections work. If a user changes an AI suggestion, does the software record who made the change? Can the original entry and its supporting information still be found? A clear record helps an accountant understand what happened later, especially if staff change or a question arises after the accounts have been prepared.
Do not assume that correcting one suggestion will prevent the same mistake in future. Some products may learn from corrections; others may not, or may use them in ways that are not obvious to the user. Check the documentation and continue reviewing repeat cases.
Check data access, cost and everyday usefulness
AI features can introduce additional questions about business data. Before turning one on, find out what information it can access, whether information is sent to another provider, how long it is retained and whether it may be used to improve the service. The answers will vary. Consider customer and supplier information as well as financial records, and check the terms against your business’s privacy obligations.
Limit access to people who need it. If the feature can alter records rather than merely suggest changes, confirm who is authorised to enable that setting. Also ask whether there are extra charges, usage limits or a separate subscription. A feature included in a trial may not be included in the plan you intend to keep.
A small test is more useful than assuming the feature will save time. Choose a manageable set of transactions and compare the suggestions with the decisions a knowledgeable reviewer would make. Record how often suggestions are useful, how often they need correction and how long review takes. Include ordinary transactions and a few less straightforward examples.
After the test, decide whether to continue with suggestions only, permit any automatic actions or leave the feature switched off. Revisit that decision if the product or your business changes. Time saved on initial entry is valuable only if the resulting records can still be reviewed and corrected without excessive effort.
Checklist
- Confirm which features use AI and whether they suggest or automatically make changes.
- Agree who reviews suggestions and who approves significant or uncertain entries.
- Check how corrections and the history of changes are recorded.
- Review data access, retention, provider terms and any additional charges.
- Test a small sample, including exceptions, before expanding use.
- Review repeat mistakes and reconsider settings when circumstances change.





