Getting Started with AI in Your Firm: A Practical (and Low-Risk) Roadmap for Accountants

If you're an accountant, chances are you didn't get into this profession to be an early adopter of new technology. You got into it because you're careful. You check things twice. You don't sign off on something until you're confident it's right. That instinct has served the profession well for a very long time, and it's exactly why so many firms have been slow to move on AI — not because they don't see the potential, but because "move fast and break things" has never really been the accountant's motto.

The good news is that you don't need to move fast, and you definitely don't need to break anything. But at some stage soon, you do need to move. AI is no longer a novelty sitting on the fringes of the profession — it's becoming part of how work gets done, and firms that wait for it to be "fully proven" before touching it will find themselves playing catch-up with competitors who started experimenting two years earlier. The firms getting the most value out of AI right now aren't the ones that took the biggest risks. They're the ones that took a structured, sensible approach and stuck with it. So if you're wondering where to actually start, here's a roadmap that doesn't require you to bet the firm on anything.

1. 1.Start by picking one system

   The single biggest mistake we see is firms letting AI adoption happen by accident. One partner is using ChatGPT to draft emails. Someone in the audit team found a transcription tool they like. Someone else is trialling a tax research assistant. None of it is coordinated, none of it is reviewed or properly assessed, and nobody really knows what's happening with client data across the business through the various tools on trial.

   The fix is simple, if not always easy: choose one platform, properly vet it (data security, privacy, how it handles client information), and get the whole firm onto it. This doesn't mean everyone needs to use every feature from day one. It means there's a single, sanctioned front door for AI in your business, so you're not relying on a patchwork of personal accounts and free tools that nobody in leadership has actually looked at.

2. 2.Give people permission to experiment

   Once you've got a system in place, the next barrier isn't technical — it's cultural. Most people in accounting firms have spent their entire careers being rewarded for not making mistakes. That's a hard habit to roll back, and it means staff will often sit on their hands with a new tool unless someone explicitly tells them it's okay to have a go.

   So it needs to be openly expressed. Tell your team that trying the new system, even for small, low-stakes tasks, is encouraged — not something they need to hide or apologise for. You'll be amazed how much more willing people are to explore once they know they won't be judged for using a tool "wrong" or for a first attempt.

3. 3.Find your champions

   You won't get even adoption across a firm, and that's fine. In every team, there'll be a handful of people who naturally lean in — who find the process, who ask good questions, who start showing colleagues shortcuts unprompted. Find those people and formally back them. They will be your change-makers.

   Giving someone the title of "AI champion" for their team costs you nothing, but it does two useful things. It gives that person a legitimate reason to spend time exploring and testing (rather than feeling like they're skiving off billable work), and it gives everyone else an obvious person to ask when they get stuck, instead of quietly giving up.

4. 4.Set goals, not vague enthusiasm

   "Let's use more AI" is not a strategy — your champions need something concrete to aim for. That might be identifying three processes per quarter worth testing, reporting back on what worked and what didn't, or targeting a specific process — say, first-pass review of financial statements, or drafting client correspondence — and measuring whether the tool genuinely saves time or just moves the work around.

   The goal doesn't need to be ambitious, it needs to be measurable. You will need some concrete data that you can build a business case on and it needs to be enough to convince a risk-averse partner group to keep investing.

5. 5.Work out which processes are actually worth automating

   Not every task in your firm is a good candidate for AI, and pretending otherwise is how firms end up disillusioned after one bad experience. The best place to start is with work that's high-volume, repetitive, and has a clear, checkable output — think first drafts of client emails, summarising meeting notes, pulling together background research, or doing an initial pass on a reconciliation before a human reviews it properly.

   Complex judgement calls, anything with high client risk, or work where there's no easy way to sense-check the output is not where you should be starting. Build confidence on the safe stuff first.

6. 6.Create a simple way for staff to flag ideas

   Your team is sitting on more good ideas than you think, and most of those ideas evaporate because there's no obvious place to put them. A short survey asking staff to describe a task they think AI could help with is a great way to house all the team's ideas. Most importantly though, someone needs to actually look at the ideas that come in, consider and action them.

   This does two things: it surfaces genuinely useful use cases you might not have thought of from the top down, and it gives your team a sense that their input actually shapes how the firm adopts new tools, rather than technology being something that's simply handed down to them.

7. 7.Share what works

   Finally, when something works, officially tell everyone. Don't bury it in a memo nobody reads, but in a way that reaches the staff who'd benefit. If someone in the tax team finds that AI cuts an hour off drafting client letters, that's worth more to your firm shared across every team than kept as one person's quiet productivity hack.

Good practice, not a leap of faith

None of this requires a leap of faith, it's a similar approach to how you would integrate any new process or tool into your practice. It's the same disciplined, methodical thinking accountants apply to everything else, it's just pointed at a new kind of tool. In short: pick a system, give people room to try it, back your champions, set real goals, start with the safe stuff, listen to your team, and shout about the wins. That's not risky, it's simply good practice.