01
Public & Social Sector
You don't have an AI problem. You have a deployment problem.
Trusted by teams at
Swedish Agency for Government EmployersThe Job Security FoundationGetingeAngelini PharmaCWS SwedenNational Collections of Music, Theatre and DanceGroupe SalinsAgency for Digital GovernmentRoyal Netherlands EmbassySwedaviaSwedish Chemicals AgencyEmbassy of Sweden in Washington D.C.
THE LAST MILE
Strategy is where it starts. Operation is where it's won.
Most organisations don't fail for lack of an AI strategy. They fail because the strategy was never built to reach operation. The pilot impresses in the demo and falls over in reality. The consultant leaves, and the knowledge leaves with them.
The outcome is rarely dramatic: an AI investment that dies in a drawer, taking budget and attention from work that would have moved the organisation forward.
We write strategy that is meant to be run, not read. We know the difference between a use case that holds in operation and one that only impresses in a demo, and we stay until it runs.
INDUSTRIES: WHERE AI IS EXAMINED, REGULATED AND CONSEQUENTIAL
02
Financial Services
You know compliance. That's exactly why you underestimate this.
03
Associations & Member Organisations
The system one authority urges you to build is the one another just forced offline.
HOW WE WORK
We start in your operation, not in the technology.
The common mistake is to start with the technology and look for a problem to fit it. We work the other way round: your operation first, the bottlenecks actually in front of it, and only then whether AI is the right tool at all. That holds for AI in business and the public sector alike. The conditions differ, the order does not.
Direction is decided in the leadership team, so that is where we work. But a plan built on what management believes about its own readiness is a plan that stalls, so we also measure where the organisation actually stands.
- 01
Strategy
We start in the operation, prioritise the few use cases that will actually reach production, and decide what is worth building at all.
- 02
Operation
We guide the initiative into everyday use, with governance and adoption handled where they are actually decided: in the organisation.
- 03
Ownership
What we leave behind, you own and run. No dependency, no retainer required, no lock-in.
WHY INDEPENDENT
Independent AI consulting. No partner programmes.
We are management consultants, not a technology vendor. We are technology and vendor neutral: no partner programmes, no stake in a model choice or a risk classification. We recommend what works for you, not what fits our stack. And we have no reason to build something bespoke when an existing platform does the job at a fraction of the cost.
For an organisation investing in AI, that is the difference between an AI consultant who tells you straight and a supplier whose business model depends on the build going ahead.
CAPABILITIES
Eight AI capabilities, each with a scope, a price and an end.
01
AI Readiness Assessment
A fixed-scope diagnosis, and a prioritised plan your leadership team can decide on.
02AI Strategy & Advisory
What is worth building, what should wait, and what deserves a no.
03AI Competence & Capability
Your people have already started, and a plan is what turns that into capability: which role needs what, who owns it, and how it holds when the tools change again.
04Implementation
From the leadership decision into everyday use, built to production criteria.
05Adoption & Change
The quiet failure is the system nobody uses. We make it stick.
06Automation & Agents
Automation that holds in operation, and agents where they have earned their place.
07Governance & Compliance
The inventory, the classification, and the policy people actually follow.
08Fractional AI Leadership
A standing counterpart for your leadership team, on a defined monthly arrangement.
INSIGHTS
Analysis, not commentary.
Decision support
A chief AI officer is countable. Who decides is not
76 per cent of organisations report having a chief AI officer. The appointment is the countable part, but it is the last three AI decisions that show who actually decides.
Read the analysis
The practice
Food manufacturing bought AI for language, not for production
The share of Swedish food producers using at least one AI technology went from 4.71 to 21.39 percent in two years. The share using AI for production processes fell over the same period, and that decides what the sector figure is worth to you.
Read the analysisQUESTIONS
Before you hire an AI consultant.
An AI consultant settles what is worth building, sees that it gets built, and leaves it in your hands. The work runs in three steps: strategy, operation, ownership. Sometimes the answer is to build nothing at all, and we say so. We are management consultants rather than a technology vendor, so we hold no stake in which tool you end up with.
Every engagement carries a fixed price set before the work starts, and a scope that says where it ends. That holds for all eight capabilities, including the monthly Fractional AI Leadership arrangement. We will not quote you a return before we have seen your data: a supplier who promises a number before the analysis is selling a story, not a diagnosis. The usual first step is an AI Readiness Assessment.
Self-interest. A vendor makes money when the build goes ahead and when you stay on their platform. We hold no partner programmes, take no commission on a model choice, and have no reason to build something bespoke when an existing platform does the job at a fraction of the cost. For you, that is the difference between getting advice and getting a quote.
By finding out where you actually stand, not by choosing tools. An AI Readiness Assessment maps the AI use already running in the organisation, and it is almost always more than leadership sees. It also maps which data is usable, and which few use cases are worth taking forward. You get a prioritised plan your leadership team can decide on, not a report.
Three things that are rarely technical: data that exists when the system needs it, a workflow somebody actually redesigned, and a named owner on your side. Pilots almost never fail on the model. They fail because nobody owns the daily operation once the consultant has moved on. The pattern looks the same in a private company as in a public body.
Two things already apply, whatever you run: the AI literacy duty in Article 4 and the prohibited practices in Article 5, both since February 2025. The transparency duties in Article 50 came into force on 2 August 2026. The high-risk rules reach fewer systems than the market suggests, and which track you land in follows the use rather than the technology. Our EU AI Act page keeps the full timeline current.
WHERE TO START
Start with a fixed-scope AI Readiness Assessment.
A defined, fixed-price engagement. We map where you are, where AI creates real value, and what it takes to get it into operation. Skipping this step has a cost that rarely announces itself: the wrong thing gets built, sensitive data reaches the wrong model, or a dependency turns out to be expensive to unwind.
We won't quote you a return before we've seen your data. A supplier who promises a number before the analysis is selling a story, not a diagnosis.
Ran a pilot that stalled?
That's exactly where we start.
Haven't started?
We map the ground and the first moves worth making.