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The AI Transformation Gap CEOs Can No Longer Ignore
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.

Insights — curated briefings

A curated path through our analysis — read these in order for the throughline from the transformation gap to disciplined adoption.

Explore Insights
  1. 01AI Strategy

    The AI Transformation Gap CEOs Can No Longer Ignore

  2. 02AI Governance & Law

    The Board's New AI Governance Problem

  3. 03Scaling AI

    Why AI Pilots Die After the Demo

  4. 04Change & Organization

    Change Management Is the Real AI Bottleneck

Latest Analysis

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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
AI Cannot Outrun a Company’s Digital MaturityDigital Transformation · Lead Analysis

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…

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Digitalization Assessment Before AI: What to VerifyDigital Transformation · Playbook

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
Who Owns AI Decisions in the Company?AI Governance & Law · Lead Analysis

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
EU AI Act for Boards: What You Really Need to KnowAI Governance & Law · Policy Watch

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
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AI Leadership & Governance in CEE 2026

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AI Leadership & Governance in CEE 2026

Key Questions

  • How mature are companies in Poland and CEE in AI adoption?
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Paweł Kubisiak

Paweł Kubisiak

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