· analyses · tointelligence

The AI decisions you
are making deserve
a reading.

21 strategic analyses on AI decisions, dependencies, governance and sovereignty. For executives who want to understand before they act.

· founding theses

founding thesis

AI Sovereignty: Mastering Your Dependencies

Sovereignty is not the absence of dependencies. It is the mastery of those you accept.

founding thesis

The AI Decision Crisis

Most AI strategies fail before they are even implemented. The problem is not execution.

· dependencies and control

AI Dependencies and Strategic Control

Most organisations are already losing control of their AI trajectory. They just don't see it yet.

AI Strategic Dependencies

You are not using AI tools. You are creating dependencies.

AI Vendor Lock-in: the Dependency You Already Accepted

OpenAI, Microsoft, Google. Three dependencies most organisations never chose.

AI Sovereignty for Companies: What It Actually Means

AI sovereignty is not a political concept. It is an executive question.

Data as a Strategic AI Asset: Beyond Protection

Most organisations protect their data. Few exploit it as competitive advantage.

Post-Acquisition AI: Dependencies Discovered Too Late

Due diligence evaluates visible assets before closing. The most costly AI dependencies appear after.

· strategy and decisions

Why AI Strategies Fail Before They Exist

Most organisations don't have an AI strategy. They have a list of initiatives.

Build, Buy or Partner AI

The most structuring AI arbitration a leader can make. It commits the organisation for 5 to 10 years.

Where AI Really Creates Value: and Where It Destroys It

AI value is often captured by vendors, not by the deploying organisation.

Measuring AI Strategy Performance: What Metrics Miss

ROI, productivity, cost reduction. These measure AI as a tool: not a strategy.

Economic Power and AI: Who Captures Value

AI doesn't create value uniformly. It concentrates it.

· decision frameworks & strategic tools

AI Decision Framework for the Executive Committee

An executive committee makes AI decisions without a framework to evaluate them. What a real framework must contain.

Strategic AI Mastery Framework

Five dimensions to evaluate the real level of control an organisation has over its AI strategy.

· governance, risk and regulation

AI Governance at Board Level: Who Bears Responsibility When It Breaks?

AI governance cannot be improvised. A charter is not governance.

EU AI Act as Strategic Lever

The EU AI Act is not a compliance problem. It is a power framework.

EU AI Act: What Executives Must Concretely Assume

The EU AI Act creates governance obligations that reach executive leadership, not just IT.

Mid-Market Companies and AI Risk

Mid-market companies combine vulnerabilities that large groups don't face.

Shadow AI: The Risk Your Board Doesn't See

Shadow AI is not an unauthorised usage problem. It is an absent decision problem.

AI Cybersecurity: A Strategic Executive Responsibility

AI cybersecurity is not a technical subject to delegate. It is a board-level responsibility.

An AI decision that commits your organisation for 5 to 10 years deserves more than a meeting. We intervene before choices are locked in. Exclusively executive committee and general management.