AI Broke the Accounting Pricing Model. Now What? 

At this year’s Accountex London, I hosted a session looking at the impact AI is having on how accountants price work and how their customers perceive that work. Honestly, it ended up being one of the most interesting conversations I’ve had around AI in accounting for a while, because we barely talked about AI tools at all. 

Instead, we talked about pricing. 

Joining me on the panel were Sarah Gardener from Shaw Gibbs, Stuart Grosvenor from HB&O, and Paul Clarke from Ookkee. Between them, they’ve got experience across outsourcing, bookkeeping, advisory, and practice leadership, so the conversation quickly moved beyond the usual “AI is exciting” narrative and into something much more commercially real. 

Because here’s the thing nobody really wants to say out loud: AI risks breaking the traditional accounting pricing model, and most firms, and clients, aren’t ready for that change. 

For years, firms have operated on a fairly simple equation. More hours equals more revenue. More staff equals more growth. Efficiency was useful, but only up to a point, because if something suddenly took half the time, firms immediately started wondering how they justified the fee. 

Now AI comes along and completely changes the economics. 

Tasks that used to take hours can now take minutes. Workflows are speeding up massively. Turnaround times are shrinking. That’s brilliant operationally, but commercially it creates a problem. After all, if your pricing model is still tied directly to time, every efficiency gain risks chipping away at revenue. 

That was really the central theme of the session. AI doesn’t just save time. It removes the link between time and value. And I think that forces firms into a really uncomfortable but necessary conversation. After all, if you can produce the same outcome faster, should it cost less? Or is the value actually higher because the client gets insight quicker, can make decisions sooner, and has less uncertainty in the business? 

Personally, I think a lot of firms are realising the second is true, but showing that true value to clients is where the challenge comes. 

One of the points that came up repeatedly during the discussion was that clients rarely care about the process. They care about the outcome. They’re not buying “hours”. They’re buying confidence, clarity, speed, and reassurance. 

That’s a huge shift for the profession because it pushes firms away from selling outputs and towards selling outcomes. 

Paul made a really interesting point around responsiveness becoming part of the value proposition. If a client wants management information faster, that has value. If they want month-end insights on the 12th instead of the 15th, that can materially impact decision-making. Same output, different commercial value. 

I thought that was a really smart way of framing it. 

Sarah also raised something I don’t think enough people are talking about yet. AI isn’t free. At the moment, a lot of firms still think AI is just “included” because vendors are absorbing huge amounts of the cost, but that won’t last forever. As usage-based pricing becomes more common, firms are going to feel those increases very quickly. 

That means firms are getting squeezed from both directions. AI reduces recoverable time while the underlying technology costs increase. The impact is that pricing strategy suddenly becomes incredibly important. 

Another thing that really stood out for me was the discussion around compliance. There’s this narrative floating around that AI will completely commoditise compliance work overnight. I’m not convinced it’s that simple. 

Making Tax Digital came up several times during the session because, despite all the technology available, clients still overwhelmingly want accountants to handle it for them. Business owners still value reassurance and expertise. They still want somebody accountable when things go wrong. 

AI absolutely changes the delivery, but it doesn’t remove responsibility. If anything, it makes it more important. A point was made around governance and risk. AI can sound incredibly convincing while still being completely wrong. The firms that succeed over the next few years won’t just be the firms using AI aggressively, they’ll be the firms combining AI with trust, expertise, and proper oversight. 

That’s the real opportunity here. The firms that win won’t necessarily be the cheapest or the fastest. They’ll be the firms best able to explain the value of their expertise in a world where production work becomes increasingly automated. 

Sound familiar? We’ve been talking about “advisory” in accounting for years. Maybe AI might finally be the thing that forces firms to actually become advisory businesses, commercially, operationally, and culturally.

The post AI Broke the Accounting Pricing Model. Now What?  appeared first on Accounting Insight News.