AI is in use everywhere in Denmark. Yet governance is now the biggest obstacle

Every single Danish respondent in the Collectia CFO Outlook 2026 is using AI in their operations, and nearly half have integrated it into core processes. We’ve already crossed the starting line.
However, Denmark is the only market where governance and compliance are the biggest barriers to AI. Two out of three Danish respondents mention this. In Norway, Sweden, and Germany, the biggest obstacles are costs and unclear returns.
If the technology is working, why is governance suddenly the problem?
The more mature you are, the more you have to be able to defend yourself

Many companies begin their AI journey by getting things to work. The goal is a model that runs and a process that gets faster. But once the initial gains have been realized, the focus shifts—from getting AI to work to being able to vouch for what it does.

This may be part of the explanation for why Danish business leaders stand out. When AI is relatively mature, the next natural question is not whether it works, but whether one can explain why it made the decision it did.

Every single Danish respondent uses AI in their operations, and nearly half have integrated it into core processes—the most mature implementation in the survey.

Maturity is the rule, not the exception

The debate about AI in the finance function often centers on whether companies are moving fast enough to adopt it. But Denmark suggests that this is no longer the key issue. After all, if everyone already has AI in use, the challenge isn’t a lack of willingness.

Two out of three Danish respondents cite governance and compliance as their biggest barrier to AI, the highest proportion among the four markets.

The challenge is how to translate a model into a decision that you can defend. The first time a customer asks why they were treated differently from someone in a similar situation, “the system decided it” is not an answer you want to give.

The value lies in where the model is located

When companies invest in AI, the greatest gains are often realized early on. The final gains are typically harder to achieve. Here, the potential often lies not in yet another model, but in where the model is deployed.

For companies with operations across the Nordic region or Germany, this perspective is particularly relevant because compliance requirements vary from market to market.

Where AI is Expected to Be Most Beneficial	Denmark
Credit Decisions	61 %
Customer Segmentation	48 %
Willing to pay for real-time dashboards	74 %
Willing to Pay for AI-Based Credit Assessment	71 %

Credit risk assessment is based on historical data and lacks built-in real-time analysis.
Danish Chief Financial Officer, Collectia CFO Outlook 2026

This is where the entire credit process becomes crucial. Governance is not a layer that is simply added on at the end. It is an inherent characteristic of the decision-making process from the very beginning, and an AI that is built into the entire process drives that governance.

This way, the decision-making logic can be documented, the outcome explained, and the account that was handled differently has a justification that a human can actually provide. Collectia operates across the entire credit process with built-in controls—not added as an afterthought—and that is what allows AI to be used more broadly, not more narrowly.

What Finance Executives Can Do

Ask one question for every automated decision: Could we explain it to the customer it affects? If the answer is no, the problem lies not in the model, but in the governance surrounding it. Closing that gap is what makes a mature AI system something that can be widely adopted.

Download Collectia Group’s CFO Outlook 2026 and compare your organization with 150 finance executives in Denmark, Norway, Sweden, and Germany.

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