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.

June 10, 2026

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.

Relevant frameworks

AI ACT EU Regulation 2024/1689
LAW 25 Quebec · privacy
ISO 42001 AI management system

June 05, 2026

Evaluation

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

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 11, 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, not an ideal org chart.

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.

Get your AI Index Talk to identifiable