If AI Makes You Faster, Who Gets the Benefit?
A practitioner rang me recently to ask whether our benchmarks are starting to reflect AI efficiencies in charge rates. At this stage they are not. The more useful question sits underneath it: if the work takes less time, who should receive the benefit?
Michelle Knights · Rob Knights & Co
A practitioner rang me recently with a question worth thinking about: were the charge rates in our benchmarking data starting to reflect the efficiencies firms are getting from AI? At this stage, they are not. Adoption across the profession is still mixed and, from what we are seeing, fairly conservative. But there is a more important issue sitting underneath the question, and it is not really about AI at all. It is about what happens to a fee when the work starts taking less time.
- A practice that bills predominantly from recorded time will pass the benefit of any efficiency straight to its clients unless it decides otherwise.
- We have seen a version of this before. Twenty years ago a firm that adopted new compliance templates went from about $1.1 million in annual fees to around $900,000 within twelve months, and could not initially work out why.
- AI does not always make the work faster. In many firms the first gain is better and more consistent output, which is a different commercial proposition.
- The practice pays for the technology, the training and the review, so there is no reason the entire benefit should automatically go to the client.
- The important thing is to decide your position before efficiencies begin moving your fees without anyone noticing.
For accounting practices, this is not really an AI question. It is a pricing question.
If a job has always taken four hours and better systems reduce it to two, a firm billing strictly from time recorded will simply charge less for the job. Nobody has to approve a discount. Nobody has to write a policy. It happens at billing time, one job at a time, and often the first sign of it is a set of annual numbers that come in lower than they should.
I have watched a firm learn that lesson.
A $200,000 lesson from twenty years ago
About twenty years ago a set of very good tax return and compliance templates came onto the market. A number of firms adopted them and, quite properly, became much more efficient.
One firm I knew went from approximately $1.1 million in annual fees to around $900,000 within twelve months. The partners initially struggled to understand what had happened. They had not lost a material number of clients, nothing significant had changed in the practice, and they certainly did not feel any less busy.
The explanation became fairly obvious once they looked at it. The work was taking less time and they were still billing largely from the time recorded, so the efficiency they had created was being passed directly to clients as a lower fee. The practice had invested in better systems and improved the way the work was done, and almost the entire financial benefit went elsewhere.
They never decided to give the benefit away. It simply happened, one job at a time.
When efficiency starts reducing the fee
That story is not really about templates. It is about the relationship between time and price. If the fee is determined principally by how long the work takes, then reducing the time reduces the fee as well. It is an unusual commercial position to be in: becoming better at the work does not necessarily improve the economics of the job.
AI has the potential to create the same issue across a much broader range of work, and it is arriving at a point when many practices are already dealing with margin pressure, staff shortages and rising costs. If a set of templates cost that firm $200,000 in a year, it is worth asking what a broader efficiency shift could do to a practice that has not thought about it.
High-volume, relatively standardised compliance work would seem to be the most exposed, simply because repetitive processes are where these tools currently produce the clearest gains. If that is where the efficiency arrives first, firms need to know what they intend to do with it.
Leaving the answer to the timesheet is still a decision. It is simply an accidental one.
AI is not automatically making everything faster
There is a second assumption sitting underneath this conversation, and it deserves some caution before anybody reprices anything.
AI does not reliably mean a job is suddenly completed in half the time. In most firms today, someone still has to prepare the input, review what comes back, check the work, correct errors and exercise professional judgement. That is real professional time, and it is often skilled time. What we are seeing first is frequently not a substantial reduction in hours, but an improvement in quality, consistency, or the ability to work through an issue more thoroughly.
Commercially, those are not the same thing. If a process genuinely becomes faster, you have an efficiency question. If the same amount of professional time produces a better outcome, you have a value question.
There are certainly more advanced systems being developed where a process can operate with considerably less human involvement. From what we are seeing, relatively few Australian practices appear to be operating at that level across large parts of their workflow yet.
So I would be careful about assuming a saving exists before you can measure it. You may well be producing better work. That does not automatically mean the job is costing you less.
The practice pays for it, and keeps paying for it
There is also a straightforward commercial question here. The practice is paying for the technology. It is paying people to understand it, configure it, test it, review the outputs and manage the risks around it.
And this will not be a one-off investment. The systems firms use today will change. Processes will need to be reviewed. Staff will need to be trained. Somebody in the practice will need to remain responsible for making sure the system is still working properly. Those costs belong to the practice.
So if the investment eventually produces a genuine efficiency gain, I do not think there is any automatic reason the entire benefit should be handed to the client.
That does not mean clients should never share in efficiencies. There may be very good commercial reasons to pass some of the benefit through pricing, particularly in highly competitive work. But that should be a deliberate pricing decision, not an outcome your billing method produces on your behalf.
The client is ultimately buying an outcome: accurate work, sound advice, reduced risk and confidence that the matter has been handled properly. If you can deliver that outcome more efficiently while maintaining or improving the quality, you have created value. You have not created an obligation to reduce the fee.
If the fee falls every time you get better at the work, look carefully at what your pricing model is rewarding.
The passive position
- Fees remain closely tied to time recorded
- Efficiency reduces the hours, and the fee follows
- The reduction happens without a deliberate pricing decision
- The investment made by the practice is difficult to recover
- The effect may not be visible until year end
The deliberate position
- Fees are considered against scope, complexity and outcome as well as time
- Efficiency gains are retained, shared or reinvested by choice
- Released capacity is redirected into higher-value work
- The cost of building the capability is properly accounted for
- Fee quality is protected
What you do with the capacity you get back
For me, this is where the conversation becomes more interesting. The strongest argument for adopting these tools was never that firms could reduce headcount. Practices have spent years telling us they do not have enough capacity. So if technology genuinely gives some of it back, the better question is what the practice does with it.
There is usually no shortage of candidates. Advisory work that has been difficult to service. Clients who hear from the firm once a year and would benefit from a more regular conversation. Planning work that never quite gets done. Business development. Training and developing the people you hope will eventually become your managers and partners.
That has a direct bearing on practice value as well. When we look at practices, the quality of the fee base and the nature of the work matter as much as the top line. A firm that quietly allows its compliance fees to reduce year after year reduces its earnings, and in time what the practice is worth. A firm that maintains good fee quality and uses its additional capacity to deepen client relationships or grow advisory work is in a very different position. Most owners do not see that difference clearly until they come to sell.
Three things I would look at before your next fee review
- Compare the average fee for the same type of compliance work over time, for comparable jobs and comparable clients. If the average has been falling while your charge rates have risen, find out why.
- Look at what is happening at billing time, and at your write-offs. Jobs regularly coming in under the expected fee and being billed from the reduced time recorded are usually where efficiency is already being passed through.
- Measure the real cost of AI-assisted work, including the time spent developing prompts, reviewing outputs, correcting work, testing systems and maintaining processes. Those are genuine costs even though they do not sit neatly inside a client job.
Five decisions worth making now
- Decide, in principle, whether a genuine efficiency gain belongs to the practice, the client, or both. Write the answer down.
- Separate the services that are genuinely becoming faster from those where the technology is mainly improving quality. They call for different pricing answers.
- Consider testing a scoped fee on one service line rather than allowing recorded hours alone to determine the final price.
- Decide what released capacity is for before you have it, or it will be absorbed without anyone noticing.
- Make sure the people responsible for billing understand the firm's position. Efficiency gains are given away at the desk, not in the partners' meeting.
None of this requires you to have a firm view about where AI is heading. It does require you to have a view about what your fee actually represents. If the answer remains simply the number of hours it took, then improvements in technology will begin making pricing decisions for you, and you will read about them in next year's accounts.
AI efficiency, charge rates and accounting practice fees
Should accounting firms reduce their hourly charge rates because of AI efficiencies?
I would not automatically reduce charge rates because of AI. The rate charged for a person's time and the number of hours a particular job requires are two different issues, and the cost and value of that person's time has not fallen. If a genuine efficiency develops and you decide clients should share in it, the better place to consider that is usually the fee for the service itself rather than a blanket reduction to charge rates across the practice, which applies the reduction to work where you have gained nothing.
How do Australian accounting practices accidentally pass efficiency gains to clients?
The most obvious way is through time-based billing. If a job takes fewer recorded hours and the invoice is then based directly on those hours, the fee reduces automatically. No decision is made and no partner approves it. It happens gradually across many jobs at the point of billing, which is why it is usually invisible until the annual figures are compiled. A firm using new compliance templates twenty years ago lost roughly $200,000 in fees over twelve months this way.
Does AI actually make accounting work faster?
Sometimes it will, but I would not assume that every AI-assisted process is materially faster. At the moment many workflows still involve professional input, review and correction, and that is skilled time. In those situations the more immediate benefit may be improved quality or consistency rather than a significant saving in hours. Genuine time savings tend to require more advanced systems that run with far less human involvement, and relatively few Australian practices appear to be operating that way across large parts of their workflow yet.
Do Rob Knights benchmarks currently factor AI efficiencies into charge rates?
Not at this stage. Our benchmarking is built from data submitted by Australian accounting practices, and adoption across the profession remains mixed and fairly conservative, so there is no consistent effect to measure yet. We are watching the issue closely, because as adoption develops it may eventually affect productivity, pricing and the way firms use their people.
How could AI efficiency affect the value of an accounting practice?
The effect depends largely on what the firm does with the efficiency. If reduced hours simply produce lower fees, earnings decline and the value of the practice declines with them. If the practice maintains fee quality and redirects capacity into higher-value work, stronger client relationships or growth, the outcome can be very different. Fee quality and the composition of the work are what a buyer is paying for, which is why pricing and capacity need to be considered together.
What should a firm do with capacity released by AI?
Decide before the capacity appears, because unallocated capacity tends to be absorbed rather than redeployed. Good uses are usually the work firms say they have no time for: advisory work, client planning conversations, business development, and developing the people you intend to promote. The important point is to have an intended use for the capacity rather than assuming it will turn into something valuable on its own.
You cannot price an efficiency you have not measured
Our benchmarking reports are built from current-year data submitted by Australian accounting practices, segmented by state, region and practice size. They show where your charge rates, realisation and profitability sit against firms genuinely comparable to yours, which gives you a much better basis for deciding whether your pricing and performance are moving in the right direction.
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