The Rock Star CFO: Why Forecasting, Data Foundations and AI Are Redefining Finance Leadership

By Artti Aurasmaa, CEO at Staria

If you think of your leadership team as a band, the CFO used to stand quietly at the back, keeping time. That's no longer where the role belongs. Today's CFO needs to be at the front of the stage — if not the lead singer, then certainly the lead guitarist. Front and centre, alongside the CEO.

This reflects a genuine shift I see across the more than 20 unicorns and hundreds of international scale-ups Staria works with every year. The finance function is being rebuilt in real time, and the companies that understand why are pulling ahead of the ones that don't. 

Change itself isn't new. Its speed is.

I've been around long enough to know that "everything is changing" is not exactly breaking news. The only constant in business has always been change. What's different now is the amplitude and the frequency. Things move faster, swing harder, and demand answers sooner than they used to — and that has real consequences for how finance operates.

The clearest consequence is this: the CFO office has to stop looking backwards and start looking forwards. Closing the books once a month, or once a quarter, and calling it done is no longer good enough. Businesses need a much higher frequency of understanding where they actually stand today and where they're heading next. That means data-driven management has become table stakes. 

Forecasting accuracy is the one KPI that matters most

I was a CFO myself once, more than twenty years ago, so I'll admit my instincts here might be dated in places. But one belief has only gotten stronger with time: forecasting accuracy is the single most important KPI for any CFO office. The value lies less in the prediction itself and more in the discipline it forces.

When you forecast continuously, you also learn continuously — every forecast you get wrong teaches you something you can feed back into the business. In a world where the amplitude and frequency of change keeps rising, companies are making micro-decisions daily, not quarterly. The business that understands its own present and near future better than its competitors will win. That's simply how the mechanism works.

Alongside forecasting accuracy, I'd add operational efficiency as it scales. A CFO office is no different from any other function: automation should make it more effective as well as more affordable. And there's a trap worth naming — as companies expand into new markets, complexity grows faster than most people expect. The right KPI tracks whether the finance function is scaling with the business, or quietly becoming the bottleneck. Beyond that, I'd resist the temptation to hand every company the same three KPIs. What matters at seed stage is different from what matters in hypergrowth, which is different again for a maturing, listed business. Every company's mix will look a little different, but the discipline of measuring, learning, and adjusting stays constant.

You cannot skip the foundation

Here's where I'll push back on some of the enthusiasm I hear in the market. Everyone is talking about AI right now. Everyone is demonstrating something they built over a weekend. And then, a few months later, everyone quietly wonders why that excitement hasn't translated into real transformation in their actual business processes.

The answer is almost always the same: you cannot build the future on top of a foundation that isn't there. Before you can drive any meaningful benefit from AI or automation, you need your data, your data platform, and your processes in order. Skip that step and you're layering sophistication on top of chaos. Do the groundwork first, and the transformation that follows tends to happen faster and more dramatically than people expect. We see this constantly, both in our own business and in our customers'.

It's also worth saying plainly: large language models are extraordinary tools among many. For the transactional core of the CFO office — accounts payable, accounts receivable, reconciliations — more traditional intelligent automation, simple integrations, even RPA, are often still the right answer. The job of a modern finance leader is to know which tool belongs where, and to keep a toolbox that reflects that judgment rather than the hype cycle.

The role changes. The need for leaders does not.

People often ask me, half-seriously, whether AI will simply replace the CFO. My honest answer: I still believe deeply in the power of human beings. We follow other humans — and I don't think that instinct is going away any time soon. Leaders are needed, and will continue to be needed.

But I'd be lying if I said the day-to-day of the role won't change. It already has. The CFO's job as we've known it for the past few decades won't look the same in a couple of years. What's shifting is the balance: everything repeatable, transactional, and compliance-driven — the "boring but important" work — should be automated or outsourced, freeing the CFO to focus on what genuinely moves the business. That's a promotion of the role. It's also, frankly, why personality types drawn to the CFO seat are changing. Communication, storytelling with data, and business partnership matter as much now as technical accuracy once did on its own.

Compliance is becoming the price of admission to global growth

There's one more piece of this that doesn't get enough attention: geopolitics. Nordic and European companies, in particular, are almost entirely dependent on international trade — our economies simply don't function without it. At the same time, technology is accelerating the pressure to go global faster, while the regulatory and geopolitical environment around that expansion keeps getting more complicated.

Every time there's disruption anywhere in the world, global supply chains feel it almost immediately. The practical implication for finance leaders is this: scaling internationally in a manageable way requires partners who can absorb the local and global compliance burden, so your own team can stay focused on driving growth and extracting value from tools like AI — rather than getting buried in regulatory complexity market by market.

The bottom line

This comes down to recognising that the CFO office has become a strategic function, and building the data foundation, the team, and the partnerships that let it act like one. Get the groundwork right, measure the few things that actually predict success, and let your finance leaders spend their time on judgment rather than transactions.

The bands with strong rhythm sections still need a guitarist out front. The businesses that will out-compete over the next decade will be the ones that gave their CFO the mic.