About Kristian Stoffregen
Table of Contents
Background #
My career has unfolded along three parallel tracks — enterprise industry, academic research, and university teaching — held together by a single question: how do people and organizations actually change when new technology arrives?
Industry #
I have spent years inside large, complex organizations — the Danish Broadcasting Corporation (DR), Microsoft, Danfoss, PwC, and CGI — working on knowledge management, enterprise software, and the architecture of large-scale change. During my years at Microsoft, I contributed to seven patent filings across enterprise knowledge management, user-interface design, data visualisation, and mobile technology. Today I work as a Business and IT Architect.
On-site industry work — Istanbul.
Research #
I hold a business PhD from Copenhagen Business School, with a dissertation on knowledge management systems in practice, and have been a visiting scholar at Stanford. My published work spans from early persuasive-technology frameworks — cited hundreds of times and foundational to the field — to recent writing on AI-first digital transformation for small and medium-sized enterprises. For the full record, see Research and Publications.
Visiting scholar at Stanford’s H-STAR Institute.
Teaching #
Today I teach AI-assisted coding, enterprise architecture, project management, and philosophy of science at BA level.
For years I designed and delivered university courses, supervised graduate research, and trained executives and practitioners in organisations preparing for transformation — including internally at PwC (PricewaterhouseCoopers), where I taught digital transformation and user-centred design facilitation to consultants and client teams. Research earns its keep when it reaches the people who have to make decisions under uncertainty; I try to teach accordingly.
Leading a Value Proposition Design session at PwC.
A selection of slides from my training and speaking engagements.
What connects these three tracks is a commitment to independent, evidence-based judgement: research that is useful, practice that is reflective, and teaching that prepares people to think clearly about technology rather than react to it.
For full credentials, see LinkedIn.
Digital Transformation in the Age of AI #
Digital transformation is often treated as a one-off project. In practice it rarely works that way, especially in organisations with hundreds of disconnected systems and weak data foundations.
The world is now digital-first, which means organisations need continuous transformation if they want to remain competitive — or even relevant.
Digital transformation is one of the defining disruption trends and a major source of competitive advantage, yet most large-scale change programmes still fail. According to McKinsey, 70 percent of complex transformation efforts do not reach their stated goals.
So what mistakes should leaders avoid? What capabilities do organisations actually need? And what hard truths should be understood before spending millions on transformation?
Fun facts #
A first-generation digital native #
I have worked with computers since I was six — a first-generation digital native who started on a Commodore 64. That machine taught me that interesting systems reward patience and curiosity; very little has changed since.
Where it all started: the Commodore 64.
I’m a cyborg #
I’m a cyborg. Cyborg is a blend of the words cybernetic and organism — it refers to beings with both organic and biomechatronic body parts.
I lost the hearing in my right ear in a scuba-diving accident. Now I have a bone-anchored hearing aid — a bone-conduction implant system. I currently use Oticon’s Ponto 5 mounted on a titanium implant drilled into my skull. It has changed my life for the better, but I don’t get stereo ;-)
I like a good challenge.