AI is moving fast in the accounting world, and right now you’ll be hearing about AI Agents and all of the brilliant automation they can create in your practice. But what are AI agents?
Maybe you’re hearing all of the terms: AI assistant, automation, copilot, AI agents and asumming they are more or less the same thing, but they’re not.
For bookkeepers, there’s a great opportunity right now, but that opportunity will be missed if you get caught up in hype, spending time down rabbit holes. So what are AI agents in the context of bookkeeping and how can we make them work to take repetitive work off our hands, so we can spend more time on the parts of the job that really need us?
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So, what is an AI agent?
The simplest way to think about an AI agent is this, it is an AI system designed to complete a goal across several steps, rather than just respond to one prompt.
That is what makes it different from standard automation. Traditional automation usually follows a fixed rule. If one thing happens, the next action follows. The ICAEW describes an AI agent as something built to handle a sequence of tasks, use context along the way, and keep moving the work forward until it reaches a useful outcome.
That does not mean bookkeepers become less important. In practice, we think the opposite is true. As AI becomes more capable, human judgement becomes more valuable in the places where responsibility, context and client knowledge matter most. ICAEW makes that point clearly, especially in relation to oversight, accountability and higher risk decisions.
Why bookkeepers should care now
This is no longer a conversation for some distant future.
Thomson Reuters’ 2025 research suggests that professionals increasingly expect generative AI to become part of day to day work over the next five years. Its tax and accounting coverage also points to firms using AI to automate routine work, reduce errors and free up capacity for more valuable support. In the same research stream, 21% of tax firms said they were already using generative AI, while 53% said they were planning to use it or were considering it.
That tells us two important things.
First, adoption is already happening.
Second, the most practical use of AI is not replacing professional judgement. It is reducing repetitive admin that slows everything down.
That is where this becomes relevant for bookkeepers, because some of the biggest bottlenecks in a practice are not technical problems. They are follow-ups, sorting, checking and preparing work for review.
Where AI agents fit in a bookkeeping workflow
For most firms, the best place to start is not with the most complex work. It is with the repetitive, document-heavy, stop-start parts of the workflow.
Chasing and collecting documents
One of the biggest drains on time is not the bookkeeping itself. It is waiting for invoices, receipts and backup from clients.
This is exactly the kind of task an AI agent* could support well. It could check what is missing, look in the right places, surface likely matches and prepare the file for review. That would not remove the need for a human. But it could reduce the back and forth that slows the whole process down.
First-pass document triage
Once documents come in, someone still has to work out what they are looking at.
What type of document is this? Which client or supplier does it belong to? Is anything missing? Is it ready for posting, or does it need checking first?
That first pass is repetitive and often follows recognisable patterns, so it is a good fit for agent-style workflows. Instead of starting with a pile of unsorted paperwork, we start with something more organised and easier to review.
Exception spotting
AI is often most useful when it helps us identify what does not fit the pattern.
Rather than opening every document one by one, an agent can help flag anomalies, missing information, duplicates or anything else that needs closer attention. That allows us to focus our time where it is actually needed, instead of spending the same level of effort on every single item.
Preparing work before human review
This is where AI agents start to look genuinely useful in a bookkeeping practice.
In many cases, the best role for an agent is not doing the whole job. It is preparing the job properly so that a human reviewer can make a faster, better decision. For example, it might gather documents, flag missing items, summarise what has happened and present the work in a sensible order.
In other words, the agent handles the groundwork, and the bookkeeper keeps control of the outcome.
Internal workflow handoffs
As firms grow, work passes between people more often. A client sends information, a junior team member starts processing it, a reviewer checks it and a manager steps in where needed.
AI agents could help make those handoffs smoother by gathering context, logging what has already been done and helping the next person see what action is needed. That becomes especially useful when work is paused, reassigned or picked up later by someone else.
What AI agents are not good for
This part matters just as much.
AI agents are not a substitute for professional judgement, responsibility for compliance, nuanced client communication, ethical decision-making or understanding the wider business context behind the numbers.
That is where experience still matters. So does accountability. So does knowing when something looks acceptable on the surface but still needs a second look.
ICAEW has specifically warned that firms need monitoring, accountability and human oversight in AI-enabled processes.That is a useful reminder for all of us, just because a workflow can be automated does not mean it should be left unattended.
What AI Agents mean for bookkeepers
We do not see this as a story about bookkeepers becoming less relevant. We see it as a story about bookkeepers becoming more effective.
If AI agents take on more of the chasing, sorting and preparation work, we have more room for review, quality control, client communication, interpretation, advisory support and improving workflows across the practice.
We want you to be the team your clients rely on the most.
Final thought about AI Agents
The question is not whether AI agents will replace bookkeepers.
A better question is this, which parts of your workflow should stop needing your full attention every single time?
That is the conversation we think the profession should be having now.
And if you want to explore this topic in person, come to our secret event at Apron’s stand on 11 March at 10am at FAB UK, where we’ll be talking about what AI agents could really mean in practice.
