Magazine

Analysis, essays and intelligence for leaders scaling AI in organizations.

Cover Story·AI Strategy

The AI Transformation Gap CEOs Can No Longer Ignore

Most organizations are experimenting with AI. Very few have redesigned the operating model, governance and processes required to scale it.

2026-05-28·9 min read

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Editor's Briefing

This week in AI transformation: regulation pressure, board accountability, hidden AI costs and the rise of internal AI operating models.

Lead package

AI Governance & Law

The Board's New AI Governance Problem

AI accountability cannot be delegated to IT. Boards need to own it — and most are not ready.

2026-05-25·7 min read

Latest Analysis

Change & Organization

AI Transformation Fails When Work Changes Faster Than the Organization Can Absorb

The most common failure in AI transformation does not start in the model, tool, or budget. It starts when the organization changes work faster than people, managers, processes, and decision rhythms can absorb. At that…

2026-06-01

6 min read

Change & Organization

AI Adoption: Why One-Time Training Is Not Enough

One-time AI training can build awareness, reduce anxiety, and showcase early use cases. It does not change work by itself. After the workshop, people return to inboxes, KPI pressure, legacy quality standards, and mana…

2026-06-01

4 min read

Digital Transformation

AI Cannot Outrun a Company’s Digital Maturity

AI is often framed as a shortcut through digital transformation. In that narrative, organizations no longer need to fix process inconsistency, data fragmentation, integration debt, or accountability gaps—because intel…

2026-06-01

4 min read

Digital Transformation

Digitalization Assessment Before AI: What to Verify

Before investing in AI, a company should do less flashy but often more valuable work: verify whether its digital environment is fit for AI to operate in real processes. This is not about launching a months-long audit…

2026-06-01

13 min read

AI Governance & Law

Who Owns AI Decisions in the Company?

The biggest AI risk in organizations is not always model error. It is often an accountability error: a situation where a system influences a business decision, yet nobody can clearly say who approved the risk, who own…

2026-06-01

12 min read

AI Governance & Law

EU AI Act for Boards: What You Really Need to Know

The EU AI Act is not a topic only for legal teams. For boards, it is a test of whether the company can manage AI as a system of decisions, risk, and accountability, rather than as a set of fragmented technology experi…

2026-06-01

12 min read

AI Governance & Law

AI Governance Is the Operating System of Scale

In many companies, governance enters AI conversations as a synonym for delay: committees, forms, and caution. That diagnosis is wrong. Well-designed AI governance does not slow innovation; it removes decision uncertai…

2026-06-01

15 min read

AI Leadership

An AI Leader Doesn't Need to Be a Technologist. They Need Better Questions.

Many leaders begin the AI conversation with a quiet assumption: they are on someone else's terrain. Engineers understand models, vendors know tools, consultants bring frameworks, and executives must make decisions abo…

2026-06-01

12 min read