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When everything is important, what do you do first?

Marit Wetterhus

Marit Wetterhus

CEO

Marit Wetterhus in conversation at a table, with a Capassa mug in front of her

There's one thing I think many leaders in growth companies recognize: the to-do list never ends. There's always a new customer to follow up, an employee who needs a decision, a problem to solve, or an opportunity we should look into.

And then we got AI.

Suddenly we can do more than ever. We can analyze more, automate more, and build faster. New tools and new possibilities show up every week, and with them comes an ever-longer list of things we think we should be doing.

I feel this very much myself. It's no longer just everything I have to do that fills the to-do list. It's also everything I now know I could do.

The possibilities have exploded. The workday hasn't gotten any longer.

That creates a paradox I've thought a lot about: we've never had more information or more possibilities, yet it may never have been harder to know what we should actually prioritize.

I don't think the problem is a lack of information

As a leader, you probably have access to more information about your business than any generation of leaders before you. We have accounting, CRM, dashboards, sales data, customer data, budgets and forecasts. On top of that, we have AI that can analyze enormous amounts of information in a very short time.

Still, more information isn't necessarily the same as better overview.

Because when I'm running a business, it's rarely another report I actually need. I need to understand what the information means. What should I be worried about? Where are the opportunities? What can wait? And not least: what are the three things I should prioritize right now?

When everything feels important, prioritization becomes a leadership task

This, I think, is one of the hardest parts of leading a growing business. There is almost always more we could do: more customers we could contact, products we could develop, markets we could consider, and technology we could adopt.

It's easy to think that growth is about doing more. My experience is that, just as often, it's about choosing better.

And that also means choosing things away.

The leadership task isn't to make the longest possible to-do list. It's to understand what deserves to be at the top of it.

What's most urgent isn't always what's most important

I've felt this myself many times. When the pace is high, the workday quickly ends up governed by whatever is urgent. A customer calls, a problem comes up, someone needs an answer, and suddenly the day is gone.

That doesn't mean we're doing a bad job, of course. It's simply what everyday life looks like in many small and medium-sized businesses. The challenge is that the most important thing isn't always the thing shouting the loudest.

A margin that's gradually eroding doesn't send an email. A liquidity challenge three months out doesn't book a meeting in your calendar. A customer who's slowly becoming less profitable won't necessarily call and tell you. And an opportunity you should seize rarely comes with a big red warning light.

This is where I think proactivity matters. Not as a nice leadership buzzword, but as something very practical. To me, being proactive isn't about predicting the future. It's about spotting what matters early enough that you still have several options left.

From understanding what happened to knowing what we should do

Traditionally, financial management has been about explaining the past. How did last month go? Why did the result differ from the budget? What happened to the margin?

That's important information, but as a leader I need us to take it one step further. If the margin is falling, I don't just want to know that it has fallen. I want to understand why, whether the trend looks set to continue, what the consequence could be, and what options we have.

One approach tells me what has happened. The other helps me decide what I should do about it.

AI shouldn't give us even more to do

This is where I think developments in AI become genuinely interesting. If the result of the AI revolution is just even more reports, analyses and items on the to-do list, I'm not sure how much we've actually gained.

I believe the real value comes when the technology can help us filter and prioritize. Imagine if, as a leader, I could ask: what are the three most important things I should focus on over the next two weeks?

The answer should be based on what's actually happening in my business. What has changed? Is there a problem starting to build up? Is there an opportunity I should look into?

That's when AI, in my opinion, starts becoming genuinely interesting as a leadership tool. Not because the technology should make the decisions for us, but because it can help us understand which decisions deserve our attention.

That's also part of the reasoning behind what we're building at Capassa.

When we started Capassa, the ambition was to make financial insight far more accessible for small and medium-sized businesses. That ambition still stands, but the technology now lets us take it a step further.

We're moving from what we've called a digital CFO to an AI CFO. To me, the technology itself isn't the most interesting part. What's interesting is what it can do for a leader who already has more than enough to do.

I don't necessarily need more information. I need help understanding what's most important right now. That's what we want Capa to contribute: seeing the whole of the business, spotting emerging trends, and helping the leader prioritize while there's still time to act on them.

I believe this kind of decision support should be available to small and medium-sized businesses too, not just large companies with their own CFO teams and analysts.

Maybe choosing becomes more important than doing

AI is going to make us capable of doing more and more. I find that incredibly exciting, but it doesn't mean we should do everything we can do. As the number of possibilities grows, so does the need to choose. What should we spend time on? What should we ignore? What must we do now, and what can wait?

Maybe that's one of the paradoxes of AI development: the technology gives us the capacity to do more, while at the same time making the ability to choose what not to do increasingly valuable.

If you look at your business right now, do you know which decision is the most important one you should make, and what are you basing that priority on?

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