AI Insights

Governance, evaluation, reproducibility.

Analysis and perspectives on AI governance, compliance with reference frameworks, and what it concretely means to make AI defensible.

Latest analysis.

Featured · June 23, 2026 · 7 min read

Move 38: the advantage is in the move after AlphaGo

In 2016, AlphaGo played Move 37, the move no human would have played. The lasting lesson is in the move that follows: Move 38, the one that belongs to the human, who decides, frames and answers. Why it holds for a small business and a multinational alike.

The move, in three movements

01 Inventory the uses
02 Frame on six properties
03 Designate at the threshold

June 17, 2026

Trends · 8 min read

AI and data trends 2026: governance is the advantage

The 2026 trend maps converge on agentic AI. Read closely, the list rewards the organization that defined, measured and made its AI defendable. An agent amplifies the governance of its context, not the speed of its launch.

June 14, 2026

Security · 9 min read

Securing the generative-AI workflow: six steps, from dataset to feedback loop

A generative AI's security is distributed across six steps, from data acquisition to the feedback loop. The whole system is only as strong as its least-governed link. Here are the six steps to govern, and the single inventory that ties them to the four frameworks.

June 10, 2026

Regulation · 8 min read

AI Act 2026: what enforcement concretely changes for Canadian businesses

The European AI regulation has come into force. Even in Canada, organizations that process data from European residents or deploy high-risk models are directly affected. Here is what this means for your governance program.

June 05, 2026

Evaluation · 7 min read

67 out of 100: why the designation can be refused at the threshold

An overall Index of 67 looks promising, above the midpoint and close to the 70 threshold. But if the Accountable property falls to 58 and Reproducible reaches 49, the designation is refused. Here's why the floor of 60 per property exists and what it means for your program.

June 01, 2026

Positioning · 7 min read

Generic is the default. Identifiable is the advantage.

Access to AI has become a commodity. Everyone can buy a model and prompt it. Competitive advantage is therefore no longer about access; it lies in AI the organization can name, explain, and defend. Here is the case we make.

Published: June 2026 · Updated: June 23, 2026

The topics we cover.

Reference frameworks

ISO/IEC 42001, NIST AI RMF, AI Act, Law 25. How to read them together, how to apply them without conflating them, and what they concretely require from your organization.

Evaluation and measurement

The Move 38 method, the AI id framework, the six properties, the designation floor. Everything related to reproducible measurement of AI maturity.

Practical governance

AI officer, acceptable use policies, review committees, system registries. Governance as it actually takes shape in a real organization.

Reproducibility and auditability

A result that cannot be reproduced is not a result. How to document inputs, trace outputs, and make an AI system defensible before a regulator or a board.

Don't wait for the audit to set the framework.

The most useful first step is the diagnostic. Twelve questions, six properties, an express Index from 0 to 100 in five minutes.

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