Workshops, build programmes and advisory.
One fixed engagement for those who already run AI in production, and three ways to keep working together: workshops built on practice, short build programmes that deliver an actual MVP, and ongoing advisory when you need a sparring partner.
SøkTilskudd and SøkStøtte are the proof: AI I have built, put into production and remain accountable for myself. The services below are what I offer from that. I take on a limited number of engagements at a time, so each one is done properly.
AI trust review.
For engineering teams that rolled out coding agents and discovered that guidelines on paper enforce nothing. And for organisations letting customers, caseworkers or regulators meet AI directly, where "it must not make things up" is a requirement, not a wish.
A poor fit if you want a general AI strategy. This is a technical review of something already running.
How it works
- 01
Where is AI used — and what is at stake?
Where AI is actually used, which decisions it helps make, and what happens when it gets things wrong. We start with the consequence, not the technology.
- 02
Written or enforced?
Most organisations have rules. Few have rules enforced in code. We go through what actually stops an error, and what only exists in a document.
- 03
Can it say "I don't know"?
Can every claim be traced to a source? We build a set of control questions with known answers for your field and run them against the system, including questions it should refuse to answer.
- 04
Findings ranked honestly
Every finding is marked verified or assumed, and we say what we did not have time to look at. A review that implies it covered everything is worth little.
- 05
We walk you through it
Findings, sequence and what is urgent. One hour, with the people who will actually do the work.
Three steps further, if you want them.
The review stands on its own. But if it finds something, this is the way forward. We have built and operated all three for our own products first — the scope for you is set once we know what you actually need.
- 01
Governance in place
We install and adapt our control setup to your stack and risk profile. Guards that stop an error where they can, and shout loudly where they can't. And tests that prove they work: we deliberately weaken each guard and require the test to go red. A green test that has never been attacked is an undocumented promise.
Engagement · typically 1–2 weeks
- 02
An advisor on your own rules
An AI advisor built on your own body of rules. The ground truth is curated and dated, not a vector search across everything you have, and every fact has a source we can point to. In the pilot we measure the hard part: not whether it makes things up, but whether it stays silent about something that should have been said. That is the error that costs most, and the one fewest people measure.
Pilot first · we measure before we promise
- 03
Operations
We keep the knowledge base current, the tests running and the guards in step with change. A knowledge base that isn't maintained goes wrong without anyone noticing — and then nobody gets told.
Ongoing agreement · scope and price set after the pilot
Built on practice, not theory.
I build SøkTilskudd and SøkStøtte from the ground up with agent-driven AI tools, and run the whole stack myself: architecture, evals, governance, operations. What I learn there goes straight into workshops, build programmes and advisory.
Underneath: 12 years of product management from Husbanken, LO and Compass Group, among others. Master of Management from BI with specialisations in Responsible AI Leadership, Digital Security and Strategic Business Development, plus certification as an AI Product Manager. Read more about my background →
Workshops.
Three topics I deliver as workshops, tailored to your organisation. Format to suit you, on-site or online.
AI for product managers
From prompt to process.
For PMs and product owners who want to integrate AI into product work without losing the craft. Strategy, prioritisation and value realisation with AI as a tool.
Tailored to your team, in person or online
Request a proposalAgent-driven development in practice
Hands-on with agent-driven AI tools.
For teams that want to build faster with agent-driven tools. Practical hands-on with the setup we use to build Kveck. Workflow, governance and quality assurance.
Tailored to your team, in person or online
Request a proposalAI Governance in practice
Evals, red teaming and responsible AI.
For leaders and domain leads who have to ensure quality, safety and ethics in AI systems. Built on Responsible AI Leadership and practical governance work at Husbanken and Kveck.
Tailored to your team, in person or online
Request a proposalBuild with us.
A structured programme that delivers a working MVP, not a pitch. We take one well-defined problem and build all the way through to a validated solution.
How it works
- 01
What needs solving?
We start with the problem, not the technology. Who is the user, what is the pain, and what's needed for this to actually create value. Often as a short workshop on-site.
- 02
Sketch and trade-offs
Architecture, model choice and governance frameworks set against each other. What to automate, where humans still need to be involved, and what it'll cost to run.
- 03
Building
Agent-driven development with AI tools, built hands-on. I build the solution itself, but in close dialogue with you so you understand how it fits together.
- 04
Testing against reality
Evals with golden queries, red teaming and user insight. We measure whether the solution is actually better than the baseline, not just whether it's new.
- 05
What now?
Scale, adjust or stop. A clear answer on what should happen next, with numbers on cost, risk and what it takes to operate.
Advisory and short-term engagements.
A sparring partner, short studies and hands-on support when you need someone who's done this before, not a full project.
Typical engagements:
- AI readiness assessment: Mapping of where the organisation stands, which processes are ready for AI, and what needs to be in place first.
- Governance study: Evals, red teaming, prompt injection defence, GDPR and responsible AI. Practical recommendations, not boilerplate policy.
- AI PM coaching: Ongoing sparring for product managers integrating AI into product work, or building AI-driven products for the first time.
- Agent implementation: Hands-on help setting up agent-driven AI tools in your development flow.
Ready for a no-obligation chat?
Whether you're getting started with AI, you're responsible for making an initiative deliver, you lead a team that's choosing direction, or you're a product owner who needs a sparring partner on the next step, get in touch. I reply myself, and I'll be honest if we're not the right fit for each other.