Accountants are already good at automation. Bank feeds, rules, cloud software: the profession has been chipping away at manual work for years. And yet there's still a lot of it. Receipts in the wrong format. Clients who send everything in one blurry photo in January.
AI picks up where the rules run out: reading messy documents, matching transactions that don't quite line up, and handling the endless back-and-forth of chasing clients.
Where AI actually fits
Most practices find the value in three places. Getting data in (invoices, receipts, statements), keeping it clean (categorisation, reconciliation), and talking to clients (queries, reminders, document requests).
With Making Tax Digital pulling more people into regular digital reporting, the volume of that work isn't going down. The question is whether your team does all of it by hand.
What it's great at
- Reading invoices and receipts, including the scruffy ones
- Suggesting categories and matches during reconciliation
- Chasing clients for missing documents, politely and persistently
- Drafting replies to routine client questions for an accountant to approve
What it's not great at
- Tax advice and judgement calls. That's your expertise, and clients pay for it
- Posting entries with no review. Suggestions are great; silent changes to the books aren't
- Unusual transactions that need context only the client has
- Fixing poor source data. Rubbish in, confident rubbish out
How to implement it
Start with the job your team complains about most. For many practices that's chasing clients for records, or processing receipts at year end.
Work alongside the software you already use (Xero, QuickBooks and the like) rather than replacing it. The AI should feed suggestions into your existing workflow, with a person approving them.
Track the time per client before and after. Accountants like numbers. Show them some.
How I approach it
I build tools that suggest rather than decide. Every entry is checked before it's posted, and every suggestion shows why it was made.
I've built AI auditing tools that check data and flag problems automatically, so I'm comfortable with the idea that the most useful thing AI can say is "this looks odd, have a look".
Ideas that work
- Receipt and invoice capture that lands in your bookkeeping software ready to approve
- Reconciliation suggestions with the reasoning shown
- Automated document chasing ahead of deadlines
- A client query assistant that drafts replies from your own notes and guidance
If January makes your team go quiet and pale, Book a call. Let's see what we can take off their plate.
