AI transformation that ends up running in your business
For owners and operations leads who can see competitors pulling ahead on AI and have nobody free to work out where it fits. We find what's worth building, build it, and stay while your team puts it to use.
- Red Dot Design Award
- 40+B2B companies
- 5ventures built
- MITDesign Lab background
Everyone says use AI. Nobody here has the time.
Meanwhile, the competitor down the road is already quoting faster.
- "We've had the AI strategy report. Nothing from it is running."
- "Every vendor says their tool is the one. I can't tell which are real."
- "My people won't trust an answer they can't check."
- "Hiring an AI team would take a year we don't have."
A shortlist first. Then we build it.
1. Map the operation
We map how you actually operate and find where AI would save time or money, and where it plainly won't. You get a short list, scored on effort against value.
2. Build
We build the first tool on that list and put it into daily use: working software, not a pilot that dies in a demo.
3. Hand over and stay
Your team owns what we built and can change it. We stay through adoption, so it's still in use once the novelty wears off.
Less repeat work. Answers your team can check.
Use case mapping
Every candidate process in your operation, scored on effort and value and ranked on one page. You decide what to build first, not whichever vendor called last.
Agent and tooling builds
AI agents and internal tools wired into the systems and documents your team already works from. Repeat work comes off their week, and the people who built it maintain it.
Skills architecture
A structured layer of your products, processes and rules of thumb that every agent draws on. Answers come back in your business's terms, not generic ones.
Interface design for AI
Screens that show what the model did, its sources, and an edit control on every output. Staff can check and correct it, which is where daily use begins.
Builders first. Advisers second.
2020 Red Dot Design Award · 40+ B2B companies · 5 ventures built · MIT Design Lab background
Viking AnalyticsRelated work
Questions about AI transformation
What is AI transformation for an established business?
AI transformation for an established business means finding the parts of how you operate where AI saves real time or money, then building tools your staff use every day. At Up Strategy Lab it starts with mapping your operation and a short list scored on effort against value, not a strategy deck, and it ends with software running in production that your own team owns.
How do you find where AI would pay off?
We map how your operation actually runs and where AI would pay off, and where it plainly would not. You finish with a prioritised list of use cases scored on effort against value. How big that first piece of work is depends on your business and your budget, and we agree it on the first call.
Do you build the AI tools, or just recommend them?
Up Strategy Lab builds them. We deliver working agents and tools, deploy them into your day-to-day operation and maintain them. We work alongside your in-house team and stay through adoption after launch, so what we build is still in use once the novelty has worn off, and your team can change it later.
Do we need to hire an AI specialist to implement AI?
No. You don't need an in-house AI specialist, an AI transformation officer or a new team to implement AI. For most mid-market businesses, that hire is slow and expensive before you even know which use cases are worth paying for. Up Strategy Lab acts as your AI build and delivery team from the first use case onwards, and hands over to people you hire later if that makes sense.
How do you get staff to trust and use AI tools?
Staff trust AI tools they can check and correct. That's the practical core of AI change management, and why Up Strategy Lab designs the interface as carefully as the model: people see what the AI did and why, and can fix it. It's the same digital product design practice behind our Red Dot award-winning work, applied to your internal tools.
Do you run AI training, workshops or meetups?
For education-led adoption, especially in regulated sectors, our co-founded company One AI Advisory runs AI advisory and education, and everything it ships is built with Up Strategy Lab. Either route, your team learns on the tools it will actually use, not generic examples.
Are you AI experts in Gothenburg?
Yes. Up Strategy Lab is a design, strategy and AI build studio based at Nordhemsgatan 56 in Gothenburg, Sweden, founded in 2018. We work with clients across Europe, the US and Asia, and co-founded One AI Advisory, which operates out of Zürich and Gothenburg. Meeting in person in Gothenburg is easy. Working remotely is normal.
Can you help if we work in a regulated industry?
Yes, through One AI Advisory, which Up Strategy Lab co-founded with Jenny Holm to handle AI adoption in regulated and high-stakes industries. It works out of Zürich and Gothenburg, and everything One AI ships is built with Up Strategy Lab, so you get the same builders whichever door you come in through.
Are you an AI design agency or an AI consultancy?
Up Strategy Lab is both, but it builds. As an AI design agency we design the interfaces that make AI output legible and correctable. As an AI product transformation partner we map your operation, pick the use cases worth paying for and ship the tools. The studio is led by Daniel Nilsson and Noel Braganza.
Tell us what's eating your team's week
Talk to Daniel or Noel about the first tool worth building. If AI isn't the answer to it, we'll say so.