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Every job in the chain.™

Operational reality first. AI second.

I do business development for industry and logistics, where the operation sets the terms. AI is part of the toolkit, not the pitch: I find the processes where it works today, and help you get them running.

Jakob Sörensen
Gothenburg, SE 57.71° N
In operations since
2004
AI projects shipped
13
From
24-metre rigs to the Swedish Parliament

Where the work has been

  • Volvo Group
  • Scania
  • Swedish Parliament
  • SCA
  • SSAB
  • Ovako
  • Stora Enso
  • Södra
  • Nouryon
  • JM
  • City of Stockholm

Proof that held up

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 adoption metrics. Drivers changed how they worked, and the accident numbers followed.

Category
Safety platform
Clients
Scania, SCA, SSAB
Role
Founder, 5 years as CEO

Signature method

OAR Operational AI Readiness

A process-level diagnostic: where AI creates operational value now, where it does not, and what the first move is.

  1. 01 Repetitiveness How repeatable is the process?
  2. 02 Data quality Is data available in a usable format?
  3. 03 Decision structure Formalized logic or tacit knowledge?
  4. 04 Staff readiness Time, skills, and mandate to act?
  5. 05 Incentive structure Does the organization reward the right behavior?

Every process gets scored across all five. The result is a ranked priority list and an anti-list: where AI is not the answer right now, and what to do instead.

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.