Hi, I'm Andreas
I translate between the leaders who set the direction for AI and the people who have to make it work. It's in the day-to-day work that you find out what the plan missed.
Three things I stand by
Here are three positions I'm happy to defend in front of a sceptical CEO, and what they mean for you in practice.
A bit like when the kids want to help with dinner: It's an excellent investment. Just not tonight.
The people who keep the day-to-day running pay the price first, because they have to learn the new tools alongside their regular work. When an AI project stalls, it's more often time than will that's missing.
Give people time to learn the new tools before you start measuring the effect.
Everyone wants to talk about the model. Nobody wants to talk about why the most important data lives in a spreadsheet called “FINAL_v3_really”.
But that's where it's decided whether an AI solution holds up once people start using it. The model is usually the easiest part to replace.
Start with data, ownership and operations. Then choosing the model becomes the easy part.
If the answer to “how does it work?” is “ask Andreas”, I haven't finished my job. And I'd like to go on holiday too.
A solution that only the person who built it understands will never be owned by the organisation.
Insist that your AI solutions can be explained by people other than the ones who built them.
What I've led
The principles are built on work like these three, from AI adoption and data foundations to tools in daily use. The organisations are anonymised.
AI became a fixed part of the work, with clear rules for quality, accountability and operations, and we kept measuring how the tools were used and what they delivered.
A few standard patterns instead of many custom solutions, less to maintain and a stable, traceable data flow. New use cases in analytics and AI can build on the same foundation.
Staffing found the right candidates faster, and sales and project teams went into customer meetings better prepared and more confident.
From people I've worked with
It is easy to write nicely about yourself. So here are word-for-word excerpts from what former colleagues wrote about me on LinkedIn, with the Danish ones translated.
Read the recommendations in full See them on LinkedInAndreas is especially good at bridging different peoples' experiences, backgrounds and mindsets with both respect and efficiency.
Andreas always contributed with strong professional integrity and level-headed curiosity.
…a sharp and ambitious mind, and on top of that his heart and values are in the right place.
Four situations keep coming up
Find the one that sounds most like you, and you'll see where it makes sense to start and what you'll have afterwards.
“Leadership wants something with AI, but day-to-day work isn't on board.”
A short process where leadership and domain experts agree on what should happen first.
“We have pilots that never make it into production.”
I go through data, integrations and ownership and make a plan for getting the pilot into production.
“We need AI in use across our departments.”
An engagement over several months where I'm your regular sparring partner and build what's missing.
“AI is on the board's agenda.”
I advise the board, so it can ask the questions that decide whether an AI investment holds up.
What I write about
I write honestly and concretely about AI in practice, sometimes from the living room floor. The posts are in Danish.
All posts, in Danish Follow along on LinkedInI've gone from army medic to engineer and AI lead to running NØRG. I can build the solution myself, and I know the business well enough to understand why it needs to be built.
More about meIf you're serious about making something happen with AI.
Tell me briefly who you are and where you stand, but leave out personal data and confidential information. We'll take it from there.
kontakt@noerg.dk