Finance & Accounting · Industry
Take the repetitive work off your accountants, with AI only where it earns its place.
Most of this is workflow, not AI. The hard part is knowing which is which.
The problem
Four things absorb the hours that should go to judgement.
Practices and in-house teams, different software, different sizes - the same pattern. Each of these is worth measuring before anyone proposes a tool.
01Qualified people spend the day preparing data
The work that needs a professional is the smallest part of the day.
Collecting documents, re-keying figures and reconciling accounts fill the hours, and judgement gets what is left.
Getting the documents in is a chase.
Checklists and reminders go out, someone tracks what is still missing, and everything downstream waits.
Explaining the numbers takes as long as producing them.
Every memo, email and variance note is written from scratch by the most expensive people available.
02Every cycle turns into a deadline crisis
Peak periods are absorbed with hours, not with design.
Deadlines compress intake, preparation and review into a narrow window, and the answer is always overtime.
Close and filing take longer than anyone wants them to.
Manual reconciliation and data entry set the pace, and nobody has a measurement precise enough to act on.
03The riskiest work is the most manual
Review still means looking at a sample.
Only a subset gets examined closely, because examining all of it by hand is not possible.
The rules are applied differently depending on who applies them.
Work runs across email, spreadsheets and core systems, so consistency depends on individual diligence.
04Compliance absorbs the capacity that advice needs
The numbers arrive after the decision.
When analysis lags, the questions it was meant to answer have already been settled.
There is never room for the advisory work.
Compliance consumes the capacity, so forecasting and planning conversations stay on the list.
The method
Turning business problems into the right solutions.
Understand how the business actually works.
Before proposing a solution, we map the workflow as it exists today - not how it's supposed to work on paper.
- People and responsibilities
- Processes and handoffs
- Systems, tools and the data between them
- Manual and repetitive work
- Decision points and exceptions
- Time, cost and operational dependencies
OutputA clear view of the current workflow, its dependencies and its operational reality.
Proof
Where we have done this.
Accounting · Australia
The founder was the routing layer. Now the rules are.
A founder-led Australian tax advisory firm had an onboarding process that worked - as long as the founder sat in the middle of every handoff. We rebuilt the client journey so the right information reaches the right system at the right time. There is no AI anywhere in it, because none was warranted.
Read the case study →Have an operational problem worth solving?
Bring us the process that's expensive, slow, manual or difficult to scale. We'll spend 30 minutes understanding it and telling you - honestly - whether AI or automation can meaningfully improve it.