Where is your accountancy practice really losing capacity?

You cannot hire your way out of this quickly. Qualified people are hard to find, expensive to keep, and slow to replace. So the capacity you already have is your most valuable asset, and also the one you can least afford to waste.

The difficulty is that most managing partners cannot easily see where that capacity is going. You know the team is busy. What may be much harder to see is how much of that time genuinely requires their expertise. But “busy” is not the same as “visible,” and without visibility the usual instinct is to add a person or buy a tool.

Before doing either, it is worth asking a simpler question: where is our capacity actually going, and which of that work genuinely warrants intervention? This article looks at what the research shows, and how to start finding the answer in your own practice.

The evidence

Skilled capacity is genuinely scarce. In ICAEW's study of mid-tier firms, recruiting qualified staff was a top-three challenge for 67% of managing partners. Half of mid-tier firms already offshore or outsource at least one service line, which tells you capacity is being sought elsewhere because it is constrained at home (ICAEW, Evolution of mid-tier accountancy firms, May 2024).

Manual activity continues to consume significant professional time. In Sage's vendor-sponsored Practice of Now 2024-2025 (1,000 accountants and bookkeepers, six countries), 92% said they spend too much time on manual tasks. That does not prove manual work is low-value work; it does show that a large share of scarce professional time goes on it.

The barrier is readiness, not appetite. The same Sage research found 89% believe automating processes would free up time, yet only 37% are doing it. Willingness is not the constraint. This is the ground our earlier article covered: readiness comes before automation.

And sector averages can point in different directions. In Intuit QuickBooks' 2024 survey, firms most often credited a growing client list to expanded capacity from technology investment (62%), on a panel that skews to larger firms. A more optimistic picture and a more frustrated one sit side by side in the same body of research, which matters for how much weight any single average deserves.

There is also consistent evidence, beyond accountancy, that fixing and standardising a process needs to come before automating it (see References).

The Failsafe interpretation

That last point is where we would start. Sector research identifies patterns; it does not diagnose your practice. An average can flag a problem worth checking, but the only way to know where your capacity is going is to look at your own evidence. That is not a limitation to apologise for; it is the whole case for looking properly before you spend.

Read that way, the high manual-task load is not a verdict, it is a prompt. If scarce, skilled people are spending a lot of the week on manual activity, the question worth investigating is whether that capacity is being used where it should be. Sometimes the work genuinely needs that person. Sometimes it doesn't. The point is to establish which before deciding what to change.

We work in one order, always: Business, then Operations, then Technology, then AI. Applied here, that means understanding where capacity is going before deciding what to change. When practices do look, capacity tends to be consumed in a handful of familiar places: manual work, effort that is quietly duplicated across people or systems, work slowed by systems that do not talk to each other, and friction from processes that were never standardised, among others. These are areas to investigate, not a scorecard, and not a fixed list; every practice is different.

Naming where the capacity goes does not, by itself, tell you what to do about it. The right response might be a better process, connecting two systems you already own, automation, AI, or nothing new at all. That decision comes after the visibility, not before it.

Where is your capacity going?

The practical move is to look across the whole practice in a structured way, in the same Business, Operations, Technology, AI order, rather than jumping to a tool.

These are prompts for where to look, not a template to force your practice into. The point of looking across all of them, in order, is to turn “everyone is busy” into a clear view of where the time is actually going and which activity is worth acting on first.

Where the Business Performance Review fits

A Business Performance Review turns that investigation into a prioritised picture: where capacity is being consumed, what is causing it, which issues matter most, and what — if anything — should change. It is the difference between suspecting the team is stretched and knowing where the stretch actually comes from, before committing to another hire or another piece of software.

Explore the Business Performance Review

Next steps

You do not need a review to make a start. You can begin with one honest look this week:

Take one week of one skilled person's time and ask how much of it genuinely required their expertise. The exercise can reveal where further investigation is warranted, before assuming the answer is another person or another piece of technology.

If that look raises more questions than it answers, that is exactly what a Business Performance Review is designed to make clear across the whole practice.

References