AI in Accounting
AI is no longer optional. By 2026, artificial intelligence has moved from a talking point at accountancy conferences to a working part of most practices’ day-to-day toolkit. For small business owners, this shift is starting to show up in familiar ways: bank feeds that categorise themselves, receipts that never need typing up, and management accounts that arrive faster than they used to.
Where AI Is Already at Work
Bookkeeping platforms such as Xero & Dext (our preferred stack) now use machine learning to suggest or apply transaction categories, flag duplicate entries, and match invoices to payments automatically. Optical character recognition tools extract data from scanned receipts and supplier invoices, cutting out manual re-keying. On the forecasting side, cash flow tools increasingly use AI-driven modelling to project short-term cash positions and flag pinch points before they bite. And as Making Tax Digital continues to widen its scope, the software behind it is getting better at spotting anomalies in submitted data before it ever reaches HMRC.
What This Means for Clients
None of this replaces the accountant, but it does change where their time goes. Routine data entry and reconciliation, once a large chunk of any bookkeeping job, is shrinking. That frees up time for the work AI can’t do: interpreting the numbers, spotting the story behind them, and advising on what to do next. In practice, clients tend to notice this as faster turnaround on monthly figures, fewer back-and-forth queries about miscoded transactions, and more proactive conversations about cash flow and tax planning rather than after-the-fact reporting.
The Risks You Shouldn’t Ignore
Faster isn’t automatically better. Three things are worth keeping in mind. First, data security: financial data is sensitive, and any AI tool that touches it needs to be assessed for how it stores and processes that data, not just how convenient it is. Second, human oversight: AI is good at pattern-matching, not judgement. A number that looks right can still be wrong for reasons only a qualified accountant would catch, which is why AI-assisted work still needs a human sign-off. Third, professional standards: both ICAEW and ACCA have published guidance for members on using AI responsibly in practice, covering confidentiality, competence and the need to maintain professional scepticism rather than accepting AI output at face value.
How We Use AI at Multiply
We use AI where it genuinely saves time: automated bank reconciliation, receipt capture, and flagging unusual transactions for review. We don’t use it to replace the judgement of our qualified team. Every set of accounts and every tax return that goes out under the Multiply name has been checked by a person who understands your business, not just your numbers. If you’d like to talk through how any of this affects your bookkeeping or reporting, get in touch with your usual contact at Multiply.
