Mikkel makes AI useful before it is allowed to sound clever.
Mikkel Freltoft Krogsholm is the AI builder and systems developer at Fremtidens Tegnestue. He wrote the book Superpowers, speaks about practical AI and has worked with data, automation and operational systems for more than a decade.
He begins where the work gets stuck
An address, a local development plan, a project archive, a client ambition and too many loose answers. Mikkel looks for friction in the work before choosing the technology.
He distrusts answers that come too easily
The danger of AI is not only error. It is confident wording built on insufficient evidence. That is why he designs workflows with sources, caveats and stop rules.
He builds systems people can take responsibility for
Technology must not take over the architect's responsibility. It should improve the preparation, giving Thais and FT a stronger basis for professional judgement.
His work did not begin with prompts. It began with data, operations and people.
Mikkel's experience goes beyond conventional AI consulting. He has worked with analysis, large data systems, companies, public speaking and the practical details that determine whether a system is actually used.
From political science to data
Mikkel holds a master's degree in political science from Aarhus University. That background matters: he understands systems, decisions, organisations and how rules shape practice.
Data science before the AI hype
Before generative AI became mainstream, he worked with data science, forecasting, APIs, web applications and automation in large organisations, including Teradata.
AI agents in real organisations
Through Brokk og Sindre, he builds AI and data solutions for companies and organisations including Miinto, GoMore and BL - the Danish Federation of Non-Profit Housing Providers.
Superpowers and human-centred AI
He is the author of Superpowers - How AI Can Change Your Life. The book and his talks are not about AI as decoration, but about how technology changes people's lives.
What matters is not that AI can answer. What matters is what the answer is based on.
Many people have tried using AI to write faster. That is not enough in construction. If a recommendation concerns a house, a budget, a local development plan or a decision, the sources must be visible, the uncertainty understood and the point of human responsibility clear.
This is Mikkel's area at Fremtidens Tegnestue. He designs and builds workflows that gather knowledge, prepare cases, mark uncertainty and make repeated processes more precise. Not to automate the project, but to give Thais and FT a better place to begin.
For a homeowner, it means the first clarification can begin closer to reality. For a studio, it means a collaborator who can move from talk about AI to concrete pilot systems, responsibility lines and workflows.
What does Mikkel bring to the table?
His strength is making new possibilities concrete enough for someone to take responsibility for them.
For homeowners
- check_circle Let the first conversation begin closer to the house and rely less on general assumptions.
- check_circle Make sources and caveats visible before an idea sounds more complete than it is.
- check_circle Gather information about the house and your ambitions before Thais assesses what actually makes sense.
- check_circle Keep technology in the background while the advice still meets you as people.
For studios and collaborators
- hub Move from loose AI experiments to workflows that can be tested on real projects.
- hub Connect Danish data sources, project archives and the studio's own method without losing professional responsibility.
- hub Define roles, data foundations and stop rules before a pilot becomes operational.
- hub Work with a collaborator who can build the system and understand the organisational change around it.
See how systems and architecture meet.
Mikkel's work makes sense together with Thais' architectural assessment: the system prepares, the architect judges.