Finance

Retrieving ledger insights on demand

AI reads accounting records and surfaces historical numbers, revenue lookups, expense details, and transaction-level answers on demand instead of requiring manual digging through the books.

Why the human is still essential here

The finance professional still needs to frame the question, verify the output, and decide what the numbers mean for the business.

How people use this

Natural-language revenue lookup

A controller asks plain-English questions about monthly revenue, account balances, or collections and gets answers directly from the ledger in seconds.

QuickBooks / Intuit Assist

Drill-down transaction Q&A

AI lets finance staff ask for the invoices, bills, or journal entries behind a balance without manually filtering multiple ERP reports.

NetSuite AI / NetSuite Analytics

Instant books summary

A fractional CFO uploads exported general-ledger data and gets a quick summary of key movements before a client or leadership review.

ChatGPT Enterprise / Claude

Related Prompts (2)

Community stories (1)

LinkedIn

QuickBooks just put AI inside your accounting ledger.

QuickBooks just put AI inside your accounting ledger.

I tested it live.


I've been a fractional CFO for years and worked with over 100 companies.


So when Intuit dropped a new AI chatbot that claims to read your books and surface insights on demand, I had one question.


Is this actually legit?


I ran it through 7 tests. Each one harder than the last.


Revenue lookups. Expense comparisons. Vendor analysis. Transaction level details. Full CFO reports.


And I'll be honest... some of what I saw genuinely impressed me.


The AI pulled numbers I would've spent 30 minutes digging for manually.


It compared quarters and gave me dollar and percentage variances without me even asking.


It flagged vendors I didn't know about.


It generated a full CFO report across all three financial statements and surfaced issues I would've caught myself.


At one point I actually said out loud "oh, that's actually really cool."


Now look.


Reporting on historicals and pulling what's already in the books is not easy.


Anyone who has done this manually knows exactly how painful it is.


The fact that this thing handled that level of complexity without breaking a sweat is genuinely impressive stuff.


Then came the forecasting test.


Build me a projection. Use last year's actuals. Grow each line by 10% monthly. Show me the table.


I rephrased. I tried different prompts. I pushed it.


And what happened next... I really don't want to spoil it.


Watch the video.


I walk you through every single test, show you exactly what worked, what completely fell apart, and what it all means for CFOs and Controllers going forward.


How much time do you think something like this could save you each month?

JAC
Josh Aharonoff, CPACEO and Co-founder at Model Wiz
Mar 11, 2026