Finance

Building finance tools from domain expertise with AI

AI helps finance leaders turn domain knowledge, models, client data, and workflow ideas into working tools, systems, dashboards, and prototypes by describing requirements in plain English, testing outputs, and refining logic iteratively.

Why the human is still essential here

The finance professional provides the domain expertise, defines the model structure, evaluates outputs, and decides what is worth building. AI accelerates prototyping and implementation, but human judgment remains essential for assumptions, scenario design, and business decisions.

How people use this

Cash flow forecasting prototype

A finance leader uses AI to turn forecast logic, driver definitions, and business rules into a working cash flow model or lightweight app that can be tested and refined before engineering support is needed.

ChatGPT / Claude

Variance analysis dashboard

AI helps draft the queries, calculations, and interface for an internal dashboard that explains actual-versus-budget variances and highlights the business drivers finance wants leaders to review.

Retool / ChatGPT

CSV-to-dashboard prototype

AI generates the initial app code that converts exported net worth or portfolio CSV files into interactive charts, filters, and account-level views.

Claude / ChatGPT

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Discussion
LinkedIn

I've seen a lot of "doomer" posts lately about AI replacing advisors, or creating financial plans in minutes.

I've seen a lot of "doomer" posts lately about AI replacing advisors, or creating financial plans in minutes.

I'm not worried at all, but here's my two cents on it.


(Everything below assumes you're using a compliant and data-secure AI system)


1. Financial Planning isn't a noun, it's a verb. The posts I've seen about AI doing financial plans in seconds-flat are missing the point. Trust me, as a client you DO NOT WANT a financial plan created in 10 minutes, and as a working advisor you DO NOT WANT to be able to create 10 plans for 10 clients in a day. I don't believe my financial plans really get useful until about the 12 - 18 month mark: the point where the archetype of what I think this person is *like* (executive, business owner, retiree) becomes more an understanding of who they really *are* (burning out in a job they hate and at risk of early heart attack, running a business that is entirely dependent on them and will never sell, desperately under spending because they're worried their kids won't get ahead in life).


2. Don't refuse to learn to use AI. It will save you and your team a ton of time, likely all on the tiny administrative tasks you already hate: notetaking, finding details in huge documents, formatting reports, etc.


3. Don't stop at the chatbot and notetaker - embrace the "vibe code". In college I took an intro to C++ class that essentially taught me to print "hello world" on a screen - and that's all I know about programming. Last weekend on a train I was able to code an app, using Claude, that will take a networth .CSV file from Conquest and search holdings on the internet for sector and geography data, and then spit out a pretty and interactive dashboard to show the client's net worth broken down across accounts, asset classes, and sectors. I didn't code it, Claude did, but as the planner I guided it to make the app useful... and that was just for fun on a train.


4. Clients are going to be using AI like a search engine to find you... or not... are you visible? I've now heard marketers talk about "AIEO" like "SEO" (Search Engine Optimization) so might want to read up on that. Clients will also be second-opinioning recommendations with AI (should they? Perhaps not, as the results are often wrong, but they are doing it anyway). We can't run, we can't hide, it's here. This is an opportunity to have that conversation as to *why* AI can't be relied on for wholesale financial advice.


5. Ultimately, to spin the doomer narrative around, this could be the beginning of a Golden Age of financial advice - one where administrative and data-entry burden of our time is lessened or replaced almost entirely. What fills that void? Human connection and conversation. If you were previously spending 1 hour per day transcribing notes, 1 hour per day crunching calculations and working *in* planning software, and 2 hours per day responding to emails... what would you do with 4 hours back?

AM
Adam MalcolmFinancial Planner
Apr 2, 2026
LinkedIn

Why Building a Game With My Son Made AI Click for Me!

Why Building a Game With My Son Made AI Click for Me!
I’m a finance leader, not an engineer.

After watching Indiana win the College Football Playoff National Championship over Miami, my son and I spent the weekend building a college football simulator that lets you run your own program.

Not bought. Not downloaded. Built.

I had no coding background and no experience deploying apps.

But with AI, I could describe what I wanted in plain English, test the output, refine the logic, and keep going.

And in the middle of building it, I realized something:

I had seen this structure before.

The game had:

a data layer

a model layer

a resource allocation layer

a user interface

That is not just game design.

That is also finance.

Actuals. Drivers. Assumptions. Scenarios. Decisions. Dashboards.

That was the moment AI clicked for me.

The real opportunity may not be with people who know the most code. It may be with people who know their domain deeply and now have better tools to build around that expertise.

Finance professionals already know how to think in models.

What AI changes is our ability to turn those ideas into tools, workflows, and systems much faster than before.

That is the part of AI I’m most interested in: practical use cases for finance teams, what is real, what is overhyped, and what is actually worth building.

I’m writing about that here: https://lnkd.in/gtAVGhBb

#AI #Finance #FP&A #CFO #Automation

AS
Aleksandr SutkinVice President of Finance at Autodesk
Mar 20, 2026