The Accounting Talent Gap Is Real. Your Finance Team Doesn't Have to Get Bigger.

For a long time, growing a finance department was pretty straightforward.

The business got bigger, the workload grew, and you hired more people.

You needed another accountant, so you hired one. Then another. Eventually you added a controller, a CFO, and a few more people to keep everything moving.

That model still works. But it is getting harder to justify, especially for growing companies that need more financial support without wanting to build a huge back-office team.

There are fewer people coming into the accounting profession, while the demand for experienced finance talent remains strong. At the same time, businesses are processing more data, using more systems, and expecting finance teams to do more than simply close the books.

So the question becomes:

Do we really need more people, or do we need a better way of working?

Not Everything on the Finance Team's Plate Needs a Person

A surprising amount of finance work is repetitive.

An invoice comes in. Someone enters it. Someone routes it for approval. Someone schedules the payment. Someone reconciles the transaction. Someone updates a spreadsheet. Someone pulls the numbers into a report.

Then, a week later, someone asks for the same report with a slightly different cut of the data.

None of this is unimportant. It just doesn't all require the time of your best finance people.

This is where better systems and automation can make a real difference.

Instead of asking your finance team to keep up with every transaction manually, you can start moving the repetitive work into the systems around them.

What Happens When You Add Leverage?

We've seen this play out in a lot of different ways.

AP is a good example.

Rather than having invoices come into a shared inbox, get entered into a system, passed around for approval, and manually scheduled for payment, a modern workflow can handle most of those steps automatically.

The same thing can happen with reconciliations, expense management, recurring reporting, collections, and other routine processes.

The finance team doesn't disappear. They just stop spending their day doing things a system is perfectly capable of doing.

That distinction matters.

The Fractional CFO Becomes More Valuable

At the same time, the work that actually requires experience becomes more important.

Someone still needs to look at the cash flow and decide whether the company has enough liquidity. Someone needs to understand why margins changed. Someone needs to decide whether it's time to hire. Someone needs to think about financing, working capital, pricing, growth, and risk.

Those are not "automate everything" problems. They're decision-making problems.

That's where a Fractional CFO can be valuable. A growing company can get senior financial leadership and a broader finance function without immediately building out a full internal team.

Instead of hiring a full-time CFO, controller, FP&A team, and finance operations staff all at once, you can build the function around what the business actually needs.

AI Adds Another Layer

AI makes this even more interesting.

We're seeing more finance teams use AI for things that sit somewhere between automation and analysis.

• An agent might review a reconciliation and identify exceptions.
• It might compare actual results against a forecast and point out unusual changes.
• It might pull information from several systems and prepare the first draft of a management report.
• It might help work through a month-end close and tell you what is missing.

The important part is that the AI isn't making every decision on its own. A finance professional still reviews the work.

The idea is pretty simple: Let software handle the volume. Let AI help with the analysis. Let people handle the judgment.

There's Another Problem: Institutional Knowledge

One thing that gets overlooked when people talk about AI is that the biggest asset in a finance team is often not the data. It's the context.

Someone knows why a certain customer is handled differently. Someone knows how the month-end close actually works. Someone knows which report to pull from an older system. Someone knows why a particular journal entry gets made every month.

That knowledge usually lives in people's heads, emails, spreadsheets, and old procedures. Then somebody leaves. And suddenly everyone is trying to figure out how the business used to work.

We've talked before about building an LLM Wiki or a "second brain" for a finance team. This is one of the places where that idea becomes practical.

You can start capturing the company's processes, decisions, financial models, and institutional knowledge in one place. Then AI can work from your company's context, rather than giving you a generic answer.

That's a much more useful kind of AI.

The Goal Isn't Fewer People

This is where we think the conversation sometimes gets distorted.

The goal isn't to replace the finance team. It's to make the finance team more capable.

A company shouldn't have to double its accounting department every time it doubles its revenue. The better approach is to build a finance function where each person has more leverage.

• A small internal team.
• A Fractional CFO providing senior guidance.
• Automation handling repetitive processes.
• AI helping with analysis and workflow.
• A reliable data layer underneath everything.
• People still making the decisions that matter.

Finance Should Scale Differently

The accounting profession isn't disappearing, and good accountants are going to remain incredibly valuable. But companies are going to have to think differently about how they use that talent.

The question isn't just: "How many people do we need?" It's: "What should our people actually be doing?"

The companies that answer that question well will be able to grow without building increasingly large administrative functions behind them.

At Long Point Resources, that's how we think about the finance function.

We combine Fractional CFO support, finance operations, automation, data infrastructure, and custom AI to build a finance team that can keep up with the business.

Not a smaller finance team. A more capable one.