Finance

Analyzing large financial datasets and trends

AI helps accountants process large datasets faster, surface patterns, identify anomalies, and summarize trends that would otherwise take days of manual analysis.

Why the human is still essential here

The accountant still needs domain knowledge to frame the analysis, interpret the trends correctly, and verify whether the findings are financially and contextually sound.

How people use this

Variance analysis dashboards

AI helps finance teams scan ERP and ledger data, flag unusual movements, and summarize the main drivers behind budget-versus-actual variances.

Microsoft Power BI / Tableau

Transaction anomaly detection

AI reviews high-volume journal entries, AP transactions, or expense records to surface outliers and suspicious patterns for accountant follow-up.

Alteryx / MindBridge

Natural-language trend summaries

AI turns large spreadsheet outputs into plain-English explanations of revenue, cost, margin, and cash flow trends for faster management review.

ChatGPT / Microsoft 365 Copilot

Need Help Implementing AI in Your Organization?

I help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.

LLM Orchestration

Design and build LLM-powered products and agentic systems

AI Strategy

Go from idea to production with a clear implementation roadmap

Compliance & Safety

Build AI with human-in-the-loop in regulated environments

Related Prompts (2)

Latest community stories (2)

Personal Story
LinkedIn

So I don’t see this as Accountants versus AI. I see it as Accountants + AI.

I walked into a conversation some colleagues were having earlier about how fast the work is changing, and it really got me thinking.
I don’t believe the accountant of the future will just be the person who knows the most formulas.

It will be the one who can bring solid accounting knowledge together with technology and data — and still know how to think carefully and pay attention to the details.

We all know what the daily work looks like.

Hundreds of transactions come in. We classify them, reconcile the accounts, catch the errors, prepare the reports, analyse the numbers, and then try to explain what those numbers actually mean.

Excel already takes a lot of the load.

Power BI helps us see the picture more clearly.

AI can pick up patterns, draft explanations, and handle the repetitive parts much faster.

But there’s still one thing the tools can’t do for us:

Figure out whether the accounting treatment actually makes sense.

AI can flag an expense as unusual. That’s helpful.

But we’re still the ones who have to stop and ask:

Why does it look unusual?

Is it just an error?

Could it be a fraud risk?

Is it a genuine one-off?

A real business cost?

Or has it simply been classified wrongly?

That kind of critical thinking and attention to detail is still what makes the difference between careful work and average work.

So I don’t see this as Accountants versus AI.

I see it as Accountants + AI.

That’s the path I’m deliberately working on myself right now — building a stronger accounting foundation while getting better at Excel, Financial Reporting, Data Analytics, and using AI tools properly.

One thing that keeps becoming clearer to me:

Don’t try to compete with technology. Learn how to use it well.

The accountant who understands the numbers and knows how to work with them using technology will end up with a very different skill set from the one who only knows how to record transactions.

Still learning and sharpening every day.

What do you think? Which part of our daily accounting work do you believe AI and Excel could free up the most time on?

#Accounting #AI #Excel #Finance #FinancialReporting #DataAnalytics #CareerGrowth #IFRS #FinancialAnalyst #Jobs #Hiring

SM
Salim Mohammed SaniAccountant
Sep 23, 2026
Personal Story
LinkedIn

"He used AI to write."

"He used AI to write."

Have you heard this before?


It's often said to mean a subtle insult or belittle the intelligence of the writer. As to say: "You couldn't have written it on your own."


Hold on for a second before your ignorance of the modern world exposes you big time.


AI is an enabler and doesn't replace your intelligence and thinking. It simply amplifies it.


Hence, a weak thinker with AI will still produce weak outcomes. Yep!


That's why the ability to use AI effectively is a professional skill, just like using Excel, PowerPoint, Google Search, or even a calculator.


No one questions whether you "really" did the calculations because you used Excel. What matters is whether you understood the problem and produced the right solution


As an accountant, I use AI to help me analyse large datasets, identify trends, draft management reports, prepare board papers, build financial models, and produce insights in a few hours.


Hitherto, that would have taken me several days of manual work.


But do you know the catch here? The AI didn't replace my accounting knowledge. It relied on it.


It still takes my understanding of IFRS, taxation, business operations, internal controls, and financial analysis to ask the right questions, verify the outputs, challenge the assumptions, and make the final recommendations.


History has shown us that those who resisted computers, spreadsheets, email, and the internet eventually lost their jobs and opportunities to those who embraced it.


AI may not replace your job; someone who knows how to use AI effectively may replace you.


The future belongs to people who combine human intelligence with artificial intelligence to create more value than either could alone.


So yes, I use AI. Not because I can't think. Not because I can't write.


I use it because I refuse to spend three days doing what can now be done in three hours without compromising quality.


Embrace AI, learn it and use it🔥

DA
Dickson AssanChartered Accountant
Aug 1, 2026