Essay
What a good AI and digital transformation advisor in Denmark actually does
A working definition of the role, written for Nordic enterprise leaders trying to tell signal from noise in the AI advisory market.
Most companies in Denmark do not need another AI strategy slide deck. They need a small number of decisions made well, in order, by people who have done the work before. This essay is my attempt to write down what I think a good AI and digital transformation advisor in Denmark actually does — and what makes the Danish and Nordic context different from the generic advisory market.
I write this both as my own working definition and as a filter — drawing on twenty years of digital work across the US, Denmark, and China, including most recently a decade at the LEGO Group leading enterprise technology behind the mobile, web, and foundational platforms that powered LEGO’s consumer digital experiences. If a company reads this and recognises its own situation, we should talk. If a company reads this and feels none of it applies, we probably should not.
The Danish context is genuinely different
Denmark is a small country with an unusually high concentration of globally significant incumbents. LEGO, Maersk, Novo Nordisk, Vestas, Ørsted, Carlsberg, Pandora, Danfoss, Grundfos, ISS, DSV etc. These companies share a profile: physical products or operations, deep operational discipline, decades-long brand equity, and — increasingly — pressure from boards and customers to be visibly serious about AI.
The advisory work that helps these companies is not the work that helps a San Francisco SaaS company. Three differences matter most.
First, the constraint is rarely the model. The constraint is the operating model. These are companies with sophisticated process engineering and fragile data and generative-AI infrastructure. A model will work in a notebook on the second try. Getting that model into a process owned by a function that already runs the business, with measurement and oversight, takes one to two years of patient work.
Second, regulation is real. The EU AI Act is not a future hypothetical. For Nordic enterprises selling into the EU and to consumers, it has already started shaping which features ship and which do not. A good advisor treats the Act as an architectural input, not a compliance afterthought.
Third, the cultural floor is higher. Nordic companies have strong worker representation, strong consumer trust, and a low tolerance for opaque automation. A deployment plan that ignores this — even one that works technically — will be rejected by the organization before it reaches customers.
What a good advisor does
A good AI and digital transformation advisor in Denmark, working with this kind of company, does six things well.
Diagnose honestly
The first job is to tell the truth about where the company is. Not a maturity model with five tidy boxes. A written assessment that says: your data platform is fine, your AI talent is two people on loan from another team, your governance is theoretical, and your CEO is more aligned than your VPs realize. The diagnostic is the foundation of every later choice. Skipping it produces strategy that looks coherent and is not.
Sequence the work
Most enterprise AI failures are sequencing failures. Teams try to scale before they have evaluation. They roll out governance before they have a real use case. They hire AI engineers before they have the platform those engineers can build on. A good advisor puts the work in an order the organization can actually execute, even if that order is slower than the slide deck implies.
Make the build-vs-buy calls
In 2026, the build-vs-buy question for AI is not the same as it was for cloud in 2016. Foundation models are not your moat. Evaluation is. Observability is. Internal tools that encode your domain knowledge are. The advisor’s job is to push hard on which capabilities the company must own, and which it should rent from the market.
Translate between layers
The single most useful thing an advisor does in a Danish enterprise is translate between the CEO, the CTO, the head of data, the head of risk, and the platform engineer who has to make it real. These groups have different mental models of what AI is and what it costs. A good advisor speaks all of these languages and makes the trade-offs explicit.
Bring evidence from outside
Inside a single company, every AI program looks unprecedented. Across the Nordic enterprise landscape, the same patterns repeat. The advisor’s value is partly that they have seen the next twelve months happen at another company already. They cannot share that company’s specifics, but they can shape the questions.
Leave the company stronger when they leave
An advisor who creates dependency is a bad advisor. The right outcome of a good engagement is a permanent capability — a roadmap a CTO can defend, a platform team that knows what to build, an executive group that can read AI investment proposals critically — and an advisor who is no longer needed.
What a good advisor does not do
It is at least as useful to be explicit about what is not the work.
A good advisor does not run prompt-engineering workshops. They do not sell AI tools. They do not produce 80-page maturity assessments designed to justify the next engagement. They do not talk about AGI in board meetings. They do not pretend that governance is optional, and they do not pretend that governance alone is a strategy.
They also do not work everywhere. The kinds of company I have described — physical-first, operationally serious, globally trusted — are a specific subset of the Nordic economy. Working with the right kind of company matters more than working with many companies.
Why I write this here
I am building this site, slowly, as a public record of how I think about AI inside companies. Most of what I publish here will be downstream of live work — at the LEGO Group, where I spent nearly a decade leading enterprise technology and shipping consumer digital products at global scale, and in the engagements I take on next as a digital and AI transformation advisor. Some essays will be technical. Some will be about leadership. Some, like this one, will be about the work itself.
If you are an executive at a Nordic or EU enterprise and any of this is useful, the advisory page explains how I work and how to start a conversation. The fastest path is a short note on LinkedIn about what you are trying to do.