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Tagged with: #compliance

Posts tagged with #compliance demonstrate how to build compliance into your AI and cloud adoption strategy without sacrificing agility or innovation potential.

Minimum Lovable Governance: The AI Operating Principle Boards Should Use

London | Published in AI and Board | 13 minute read |    
A lightweight metal arbour frames an open pathway through a landscaped garden at dawn, representing governance as structure that guides and supports growth rather than constrains it (Image generated by ChatGPT 5)

Minimum lovable governance marks a shift from episodic compliance scrambles to continuous, embedded oversight that people actually want to use. In this article I explain how governance can achieve necessary guardrails whilst earning adoption rather than resistance — like an arbour that guides growth without constraining it. For Boards, minimum lovable governance presents a practical path: the operating principle that makes AI governance work when traditional approaches simply get routed around.

Shadow AI and the Case for an AI Amnesty

Llantwit Major | Published in AI and Board | 15 minute read |    
A corporate office environment showing contrasting scenes: shadowy figures using AI tools in darkness on one side, while the other shows transparent, well-lit collaborative AI usage, symbolising the transformation from shadow AI to governed innovation (Image generated by AI)

With a 68% surge in shadow AI usage and 54% of employees saying they would use AI tools even if they were not authorised by the company, Boards face a governance challenge traditional compliance cannot solve. This article presents AI amnesty as an important first step to minimum lovable governance - transforming hidden risks into strategic assets whilst capturing employee-validated innovation. When 95% of enterprise AI pilots fail to deliver measurable ROI yet shadow AI thrives everywhere, the path forward isn’t enforcement but structured disclosure programmes that build trust and position early adopters as governance standard-setters.

AI Sovereignty: A Board's Guide to Navigating Conflicting National Agendas

London | Published in AI and Board | 15 minute read |    
Business executives in suits stand on a glass platform at a crossroads, overlooking three diverging roads leading to a classical European city in soft blue light, a futuristic American skyline with glowing data streams, and a Chinese metropolis with red-toned interconnected bridges, symbolising transparency, innovation, and integration. (Image generated by ChatGPT 5)

AI governance is fragmenting into incompatible systems — Europe prioritising trust through transparency, America pursuing speed through scale, China maintaining control through integration — forcing Boards to choose rather than compromise. In this article, I explore the sovereignty trilemma and present three strategic stances for navigating these landscapes without fracturing your strategy.

Why Boards Need to Watch the EU's General-Purpose AI Code of Practice

London | Published in AI and Board | 15 minute read |    
Abstract visualisation of regulatory divergence between EU and US AI approaches, showing two paths splitting from a central board decision point. (AI-generated)

The EU’s General-Purpose AI (GPAI) Code of Practice, effective August 2025, signals a new era of regulatory divergence. While the EU sets transparency and systemic risk guardrails, the U.S. accelerates through deregulation. For Boards, the challenge isn’t choosing sides but mastering dual-track governance — turning regulatory complexity into strategic advantage.

Implementing Decision Analytics: A Practical Guide for Boards

London | Published in AI , Board and Emerging | 11 minute read |    
A diverse business team collaboratively building an AI decision analytics engine in a modern boardroom, with digital data displays and construction tools on a sleek conference table. (Image generated by ChatGPT-4o).

In my previous article, Transforming the Board: Using Decision Analytics for Strategic Advantage, I introduced the concept of AI-powered decision analytics as a transformative approach to board decision-making. I explored how these capabilities can help directors move beyond traditional backward-looking metrics to embrace predictive indicators that model potential futures and enhance strategic decision-making.

Navigating the AI Regulatory Maze: A Boardroom Survival Guide

Llantwit Major | Published in AI and Board | 14 minute read |    
Illustration of a maze split into two halves: one side representing traditional regulatory complexity with stone walls and paperwork, and the other depicting modern AI innovation with futuristic digital pathways. Board members strategically stand in the centre, navigating between regulation and AI. (Image generated by ChatGPT 4o)

The EU AI Act, which came into force on August 1, 2024, establishes significant penalties for non-compliance, including fines of up to €35 million or 7% of global annual turnover for serious violations. As regulatory frameworks for artificial intelligence rapidly evolve worldwide, Boards face a new imperative: navigating complex compliance requirements while maintaining the innovation speed necessary to compete.