About
A practitioner to guide you in the AI era.
Fredrik Lindstrom
For twenty-five years I built and scaled technology-services businesses before turning that experience into board-level guidance on AI and cyber risk. I integrate governance into operations, so compliance comes as a result of how the business runs. Built in, not bolted on.
I have scaled services organizations from a few hundred thousand in revenue to more than $100 million, grown teams into the hundreds across multiple countries, and led strategic acquisitions from due diligence through integration. I advised Fortune 100 boards and C-suites at KPMG and stepped in as interim CIO and CISO when organizations needed one mid-transition. I have been the operator a board was holding accountable. That is most of why I am useful to one now.
My work today focuses on what comes next: artificial intelligence as a class of risk that boards have not yet learned to oversee, and that most enterprises are deploying faster than their governance can keep up with. I have watched this pattern before — cloud, mobile, data, now AI. The companies that build governance in parallel with deployment win. The ones that wait for the regulator pay twice. And this time there is no single regulator to wait for. The EU AI Act phases in through 2027, enforced across national competent authorities, market-surveillance bodies, notified bodies, and the EU AI Office, layered on top of the GDPR regulators already in place. Multi-agency, multi-jurisdiction, multi-year. That is the part most boards underestimate.
I write here for a specific audience: board directors, senior executives, and the technology leaders who advise them. The pieces are longer than a LinkedIn post and shorter than a consulting deliverable, built to give a busy reader the framing they need before their next governance review. The monthly Governance Memo collects the throughline.
Alongside the writing, I host Promise & Risk of AI, an educational YouTube channel built to cut through the hype and the fear-mongering. Every episode covers both the genuine benefit of an AI capability and the real risk attached to it, because the honest answer almost always sits between the people selling salvation and the people selling panic.
Credentials
- Certifications
- ISACA Advanced in AI Security Management (AAISM) · CISSP · CISM · CISA · PMP
- Education
- MBA, Rollins College · B.Sc. Computer Science, KTH Royal Institute of Technology, Stockholm
- Published in
- CIO.com · CIOReview · CRN — on AI risk, Zero Trust, and technology-services transformation
Areas of focus
AI Governance
Not a binder produced for the audit. I turn frameworks like the NIST AI Risk Management Framework and the EU AI Act into oversight boards can actually run, so compliance becomes a byproduct of how AI gets built and deployed. Committee design and charters where they earn their place, and dashboards that keep AI risk visible between meetings.
Cybersecurity Strategy
Twenty-five years of practitioner experience across enterprise security programs, vendor evaluation, and breach response. The core question I keep coming back to: where does the technical risk meet the fiduciary duty, and is the board seeing both sides clearly?
Enterprise AI Adoption
The integration paradox — the gap between what AI can do in a demo and what it does in a production environment with legacy systems, real workflows, and human oversight. Most enterprise AI failures are governance failures, not capability failures.
Board & Advisory
I work selectively with boards and senior leadership teams on AI governance design, security committee formation, and the literacy that directors need to ask better questions. If your committee meets next quarter and AI is on the agenda, that is the right time to be in touch.