Every job in the chain.™
Operational reality first. AI second.
I help industrial leaders identify where AI can improve safety, flow, and decision-making in the real operation, and where it will only create noise.
I have worked where operations, systems, and decisions meet: on the floor, in startups, in public institutions, and in enterprise product teams. The standard has always been the same: technology must hold up in practice.
- Since
- 2004
- Drivers trained
- 1,000,000+
- Risk reduction
- 50–63%
- Across
- startup, public sector, enterprise
Trusted in serious environments
Work has taken me through Volvo Group, Scania, The Riksdag Administration, SCA, SSAB, Ovako, Stora Enso, Södra, Nouryon, JM, and City of Stockholm. Startup, public sector, enterprise product, and heavy industry — the standard has always been the same.
Proof that held up
1,000,000+
drivers trained through my system
LUPNUMBER® reduced accident risk by 50–63% at clients such as Scania, SCA, and SSAB.
I built the platform from scratch. The result was not just adoption or engagement. It changed behavior in safety-critical environments and produced measurable operational impact.
Mini-case
Nordic motor insurance standard
The problem was not a lack of systems. Multiple organizations depended on the same information, while defining it differently and using it for different business purposes.
I led the development of a shared information standard for motor insurance together with major insurers and brokers in the Nordic market.
We structured the information so it could support both coordination and real system delivery: clear definitions, workable boundaries, and a model that created value despite partially conflicting stakeholder interests.
Signature method
OAR Operational AI Readiness
A process-level diagnostic that identifies where AI creates real operational value now, where it does not, and what the first move should be. Built for leaders in operationally complex businesses — not a generic maturity assessment.
Most AI initiatives fail for the same reason digitalization projects always have: no one talked to the people who do the actual work.
I use AI every day to build. I know exactly what it can and cannot do. That makes me a bad consultant for anyone who wants to hear that AI solves everything, and a good partner for anyone who wants to know where it actually works.
Choose the right starting point
If you are trying to make AI useful in the operation, the next step should be concrete. These are the conversations I usually have.