
There are basically two conversations happening about AI in accounting.
Conversation one:
“AI is going to replace accountants.”
Conversation two:
“AI is overhyped and accounting is too complicated to automate.”
I think both miss the point.
I don't think AI needs to replace the accountant to completely change accounting.
It just needs to eliminate enough low-value work that accountants start spending their time differently.
And frankly, I'm very okay with that.
This is what a monthly financial review often looks like:
Log into QuickBooks.
Run the P&L.
Change the dates.
Run a comparison.
Export something.
Open the balance sheet.
Calculate a few ratios.
Look at cash.
Look at AR.
Scroll.
Scroll.
Scroll.
Notice something.
Open another report.
Try to figure out why.
Write a note.
Repeat.
And then—finally—we're ready to talk to the client.
That entire process exists so an experienced accountant can reach the part where their expertise actually matters.
What if we compressed it?
There are things humans are extraordinarily good at.
Judgment.
Context.
Relationships.
Experience.
Reading the room.
Understanding the owner.
Knowing that technically correct advice might be completely wrong for this particular business.
There are other things computers are exceptionally good at.
Reviewing thousands of numbers.
Comparing periods.
Doing calculations.
Finding patterns.
Flagging anomalies.
Summarizing information.
We should probably let each side do what it's good at.
This is where I think the conversation around accounting AI gets weird.
Why are we obsessed with replacing the accountant?
I don't want software making an important financial decision for my client with no professional sitting between the recommendation and the business owner.
What I do want is technology saying:
“Hey Ashley, payroll is up 18% compared with the same period last year while revenue is only up 4%. You may want to look at this.”
Perfect.
Thank you.
Now I can investigate.
That is augmentation.
And it makes the accountant better, not irrelevant.
The broader accounting software market is already leaning heavily into advisory and insight workflows. Syft has written about accountants moving from historical statements toward proactive insight, while Jirav is actively positioning FP&A advisory as a scalable service line for accounting firms. Syft Analytics Blog
This is the interesting part.
Suppose it currently takes 45 minutes to properly prepare for a client financial review.
Now suppose AI helps reduce that to 10.
You didn't save 35 minutes.
You changed the economics of the service.
Now the firm can potentially provide a financial review to clients who could never economically receive one before.
A partner can oversee more relationships.
A controller can spend more time advising.
A senior accountant can identify issues they may previously have missed.
The firm can add value without adding headcount at exactly the same rate.
That is a very big deal.
This part matters.
If the accounting is wrong, AI can analyze the wrong numbers extremely efficiently. 😂
That doesn't help anyone.
The books still need to be clean.
Accounts need to be reconciled.
Transactions need to be classified correctly.
The balance sheet needs to make sense.
AI does not eliminate accounting fundamentals.
If anything, better analysis makes clean accounting even more important.
I think one of the biggest shifts will be from preparer to interpreter.
Instead of spending most of the engagement creating financial information, the accountant increasingly helps clients understand and act on it.
Think:
Here's what changed.
Here's why I think it matters.
Here's what I want to ask you.
Here's the risk.
Here's the opportunity.
Here's what I recommend we watch.
That is a very defensible role.
This may be uncomfortable, but I think it's true.
If the only deliverable is:
“We reconciled your bank accounts and emailed your P&L.”
Technology is going to put pressure on that service.
If the deliverable is:
“We keep your financials accurate AND help you understand what is happening in your business every month.”
That's different.
The accounting becomes the foundation.
The interpretation becomes the value.
You don't need an “AI strategy committee.”
Start simple.
Find one part of the firm's workflow where experienced people are repeatedly doing something that software could accelerate.
Monthly financial review is a great example.
So is:
Variance analysis.
Client meeting preparation.
KPI calculations.
Financial summaries.
Trend identification.
Then measure whether AI actually saves time.
If it does, keep it.
If it doesn't, don't use it because someone put “AI” on the homepage.
CFOly came out of this exact problem.
Accounting firms have access to an incredible amount of client financial data.
But turning that data into advisory takes time.
So we built CFOly to help review the financials, surface KPIs and insights, track goals and let accountants and businesses ask financial questions using AI.
Not because accountants aren't needed.
The exact opposite.
Because accountants are too valuable to spend their day hunting for the number that deserves their attention.
Written by Ashley Ingle, CPA | Founder of CFOly

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