Do I need to hire someone with AI skills for my finance team?

Not necessarily. For most SMBs, the priority is having senior finance leadership that understands AI tools well enough to evaluate, implement, and oversee them — not a staff-level hire who dabbles in automation. A fractional CFO with current tooling knowledge is often the most cost-effective way to get that expertise without a full-time hire.

Will AI tools replace my bookkeeper or accountant?

Not in the near term, and probably not entirely. AI tools automate specific, repetitive tasks — transaction categorization, reconciliations, standard report generation — but they still require qualified humans to review the output, handle exceptions, and make judgment calls. The role evolves; it doesn't disappear.

How do I know if my current finance function is falling behind on AI?

A few signals: your monthly close takes more than 15 business days, your forecasting is still spreadsheet-only, and no one on your team is actively evaluating better tools. If your finance function is running the same way it was three years ago, it's worth a conversation with someone who can assess the gap honestly.

AI Skills in Finance Are Now a Hiring Requirement — What SMBs Should Do About It

One in three finance job postings now require AI skills. That's not a projection or a trend line — it's the current hiring reality, according to CFO Dive's coverage of recent Datarails research. Accounting roles specifically recorded the fastest AI-skills growth of any finance category over the 12-month study period. For SMBs and lower-middle-market companies, the question isn't whether AI is changing finance — it's whether your finance function is positioned to benefit from it or left behind by it.

This isn't abstract. If you're running a $10M or $40M company and relying on a part-time bookkeeper and a tax accountant you see twice a year, you almost certainly don't have anyone at the table who is thinking about what AI means for your financial operations. That gap is getting more expensive by the month. At Pyek Financial, we work with exactly these businesses — and the AI conversation is showing up in nearly every engagement now, whether the client expected it or not.

What "AI Skills in Finance" Actually Means for a Business Your Size

AI skills in finance aren't about replacing your accounting team with robots. At the SMB and lower-middle-market level, it means using tools that automate routine data work — transaction categorization, variance analysis, cash flow modeling, report generation — so the humans in your finance function spend their time on judgment calls instead of data entry.

The practical implication is that the gap between a capable finance function and an under-resourced one is widening faster than it used to. A $20M company with the right tools and a finance leader who knows how to use them can produce the kind of analysis that used to require a full department. A $20M company without that is still waiting three weeks for a monthly close and getting reports that tell them what happened instead of what to do next.

The technology isn't the hard part. Knowing which tools to implement, how to structure your data so they work correctly, and what questions to actually ask — that's where the expertise lives.

Why This Creates a Specific Problem for SMBs Without a CFO

A full-time CFO costs $300,000 or more annually when you factor in salary, bonus, and benefits. Most companies under $30M in revenue can't justify that spend, and frankly, many don't need 2,000 hours a year of CFO-level attention. What they do need is someone who can evaluate AI tools thoughtfully, integrate them without breaking the accounting infrastructure, and tell them what the output actually means.

That's not a bookkeeper's job. It's not a controller's job in most cases either. It's a CFO-level function, and the AI wave is making it more urgent, not less.

The risk isn't adopting AI tools prematurely. The risk is having no one qualified to evaluate them at all.

Without senior finance leadership, SMBs tend to fall into one of two failure modes: they ignore AI tooling entirely and fall further behind operationally, or they buy tools their teams don't understand and end up with garbage outputs dressed up in a nice dashboard. Neither outcome helps you run a better business.

What a Fractional CFO Should Be Doing on AI Right Now

A fractional CFO serving a $5M to $75M company should be actively doing three things on the AI front in 2025.

First, auditing your current finance stack. Most SMBs are running a patchwork of tools — QuickBooks or Sage, maybe a CRM, a spreadsheet-heavy close process — with significant manual work holding it together. Before any AI layer makes sense, the underlying data needs to be clean and consistently structured. Garbage in still means garbage out, regardless of how sophisticated the model is.

Second, identifying where AI tools create real leverage in your specific business. Cash flow forecasting is often the highest-value starting point for product or services businesses with lumpy revenue. For companies doing a high volume of transactions, automated categorization and anomaly detection can materially cut close time and catch errors that currently get missed. The right application depends on your business model, your team's capacity, and what decisions you're actually trying to make faster.

Third, protecting the integrity of your financial reporting. AI tools in accounting can introduce new error vectors — misclassified transactions, over-automated journal entries, model outputs that look right but aren't. A fractional CFO's job is to build the review processes that catch those errors before they compound, not to assume the tool handles it.

Pyek Perspective

The AI conversation in finance reminds me of the early cloud accounting days. Every vendor promised it would solve everything. Some of it did — and some of it created new messes that took years to clean up. What I tell clients now is the same thing I told them then: the tool is only as good as the person accountable for its output. You still need someone who can look at a number and say "that doesn't smell right." That judgment doesn't come from software.

Should You Hire for AI Skills or Hire a Fractional CFO Who Has Them?

The Datarails data points to a real shift in what employers want from finance professionals. But for most SMBs, the hiring question is the wrong frame. You don't need to go find a bookkeeper who can prompt an AI model. You need a senior finance professional who understands both the accounting fundamentals and the tooling well enough to make the right calls on both.

That's a senior hire or a fractional engagement. It's not a $60K/year staff accountant with a ChatGPT subscription.

At Pyek Financial, we bring AI-informed thinking into every fractional CFO engagement — not as a feature, but because it's now part of doing the job correctly. Evaluating your tech stack, improving your close process, and making sure your reporting is actually decision-ready are things that require both technical fluency and financial judgment. They're not separable.

The Real Cost of Waiting on This

Companies that get this right will close faster, forecast better, and have cleaner books when it comes time to raise capital, refinance, or sell. These aren't hypothetical benefits — they show up directly in how a buyer or lender evaluates your business.

A $15M company with 60-day-old monthly financials and no variance analysis is a harder deal to get done than one with a 15-day close and rolling 13-week cash flow visibility. The AI tools now available to SMBs can meaningfully close that gap. But only if someone is steering.