Mario Thomas

The Great Remaking: How the Four Dimensions of Work Are Transforming

Sun, 08 Mar 2026 18:00:00 +0000

AI is not remaking the four dimensions of the essence of work at the same speed, through the same mechanisms, or toward the same end state. Treating them as a single strategic question is the mistake most organisations are currently making. The organisations pulling ahead understand which dimensions are moving fastest in their sector, where redesign would produce the greatest compounding advantage, and what form of human value would survive in each case. This article goes dimension by dimension through the specific patterns of remaking that distinguish organisations building structural advantage from those still augmenting the status quo.

MCP Explained: The Agent Infrastructure Standard Boards Need to Understand

Sun, 01 Mar 2026 10:00:00 +0000

An AI agent that can only see the public internet is no more useful to an organisation’s business than a very expensive search engine. The intelligence is not the constraint. The connectivity is. Model Context Protocol — MCP — is the infrastructure standard that connects agents to the proprietary data, systems, and processes that constitute real competitive advantage. This article explains what MCP is, why the major enterprise vendors have already converged on it, and the governance questions Boards should be asking before their technology teams answer them by default.

MCP Registry Architecture

Wed, 25 Feb 2026 00:00:00 +0000

Version 1.4 · 2 March 2026 This paper proposes a lightweight, deployable architecture for solving the agent discovery problem in Model Context Protocol (MCP) ecosystems. The core proposal is a DNS-based convention — an _mcp TXT record — that points any compliant AI agent to an organisation’s MCP registry. DNS-based discovery is not new: MX, SRV, _dmarc, and WebFinger all use the same pattern. The novelty here is the specific convention for MCP, the design decision to make the registry itself an MCP server (requiring no special client code), and a fully serverless reference implementation.

The Great Remaking: AI and the Race to Transform the Very Essence of Work

Sun, 22 Feb 2026 09:00:00 +0000

Over five decades, five technology revolutions each transformed organisations, but none restructured the essence of work itself. AI does — remaking how organisations think, decide, create, and deliver. The gap between bolting AI onto existing processes and redesigning how work is structured is already producing four times higher total shareholder returns for those who commit. This article defines what the essence of work actually is, why AI is remaking all four dimensions at different speeds, and why The Great Remaking is a race with compounding consequences that late movers cannot close through incremental catch-up.

The Personal Agent Economy: When Your Best AI Isn't On Your Balance Sheet

Sun, 15 Feb 2026 10:00:00 +0000

In June 2024, I proposed that organisations would need to compensate workers whose expertise became embedded in corporate AI models. The rise of personal AI agents inverts that assumption entirely: individuals are already investing thousands annually in always-on agents that encode their professional judgement, domain expertise, and decision-making patterns — capability that belongs to them, not their employer. This article explores what happens when the most valuable AI in your organisation walks in with the employee and walks out when they leave, and why the IP boundaries, contractual frameworks, and talent strategies needed to navigate this shift don’t yet exist.

The Inference Migration: What Consumer Agents Mean for Enterprise AI's Next Phase

Sun, 08 Feb 2026 18:00:00 +0000

Consumers are voluntarily paying $3,650–9,125 annually for always-on AI agents — more than their combined entertainment subscriptions. When ChatGPT followed exactly this pipeline from consumer novelty to shadow enterprise adoption within three years, most organisations were caught unprepared. Agentic AI is now running the same cycle. This article examines the inference migration — the architectural shift from episodic queries to always-on agents, why the determinism objection is narrower than Boards assume, the shadow agentic AI wave already forming, and why governance frameworks established in 2026 will determine which organisations capture agentic value and which scramble to retrofit controls on adoption already underway.

The Invisible Asset: Why Boards Should Govern Data Like It's on the Balance Sheet

Sun, 01 Feb 2026 18:00:00 +0000

Boards apply rigorous stewardship to physical assets: regular condition assessments, clear ownership, maintenance investment, impairment testing. Data assets — which increasingly drive competitive advantage — receive none of these disciplines. The gap isn’t technical; it’s governance. Accounting standards render data invisible on the balance sheet, so Boards govern it as though it doesn’t exist. This article argues for balance-sheet thinking applied to data, using the AI Centre of Excellence as the governance vehicle. For Boards, the question isn’t whether data belongs on the balance sheet; it’s whether you’ll steward it as if it does.

The Verification Premium: What Classical Training Reveals About AI Coding Costs

Sun, 25 Jan 2026 10:00:00 +0000

AI coding tools don’t close the expertise gap — they amplify it. Research shows senior developers capture twice the productivity gains of juniors, while a randomised controlled trial found experienced developers actually worked slower with AI than without, the hidden taxes of verification offsetting initial speed. This article explores the verification premium — and why Boards should ask not “can we use AI to write code cheaper?” but “do we have the verification capability to ensure AI-generated code creates value rather than debt?”

The AI Talent Bifurcation: Are You Building Skills or Collecting Credentials?

Sun, 18 Jan 2026 10:00:00 +0000

Workers with genuine AI capabilities command premiums of 28-56%; those targeting AI-exposed roles without substantive skill development face a 29% earnings penalty. The same roles, opposite outcomes, and the difference lies in the quality of capability investment, not access to tools. This article examines why this bifurcation extends to the Boardroom itself, where the IoD now positions AI competence as a core NED responsibility. For Boards, the strategic question becomes: is your workforce developing verification and judgement, or just collecting certifications — and can you tell the difference?

The Redeployment Dividend: Why AI Will Unleash Your People, Not Replace Them

Sun, 11 Jan 2026 16:00:00 +0000

AI’s primary value isn’t replacing people, it’s releasing the intellectual capital trapped in undifferentiated work. Yet in many Boardrooms, workforce reduction remains the default success metric for AI initiatives. This article makes the case for the redeployment dividend: redirecting freed human capacity toward outcome-impacting work, complex judgement, and innovation that AI cannot replicate. For Boards, the strategic question shifts from “how many roles disappear?” to “what valuable work aren’t we doing because our best people are buried in tasks they don’t need to do?”

Return-to-Work Briefing: Five Forces Reshaping the Board AI Agenda in 2026

Sun, 04 Jan 2026 18:00:00 +0000

As we return to our desks for 2026, the AI forces demanding attention aren’t distant possibilities but strategic choices already in motion. AI is embedding itself into enterprise applications faster than organisations can govern it, whilst simultaneously eroding the human capabilities needed to oversee it. In this article I examine five of these forces — AI’s shift from content generation to decision support, inference economics reshaping deployment strategy, embodied AI introducing physical-world liability, verification gaps exposing governance failures, and AI governance professionalising into systematic capability.

The Year AI Grew Up: Five Inflections That Changed the Strategic Calculus in 2025

Tue, 30 Dec 2025 10:00:00 +0000

In 2025 Boardrooms saw a collective shift in how they thought about AI’s role. What they spent 2023 and 2024 reacting to became a question of strategic investment in organisational infrastructure. They moved from “what can it do?” and “should we use it?” to “how do we navigate competing pressures and make this core to how we operate?” In this article, I examine the five interconnected inflections that drove this shift — and what they mean for Boards entering 2026.

The Return of Traditional AI: Organisations Are Rethinking Their LLM-First Strategies

Sun, 21 Dec 2025 18:00:00 +0000

Forty-two percent of companies abandoned the majority of their AI initiatives this year — not because AI failed, but because organisations applied generative AI to problems better solved by traditional machine learning or deterministic automation. This article examines the recalibration underway as sophisticated adopters discover that LLMs excel at specific tasks but prove expensive and unreliable when mismatched to problem domains. For Boards, this shift presents an opportunity to right-size investments through hybrid architectures that match capabilities to problems, capturing value through strategic deployment rather than universal LLM adoption.

A New Grid Actor: AI Infrastructure Is Becoming Energy Infrastructure

Sun, 14 Dec 2025 18:00:00 +0000

America’s 19GW power shortfall by 2028 is forcing hyperscalers to build their own generation, but the strategic insight is what happens next: surplus capacity transforms AI infrastructure operators from energy consumers into grid actors. This article examines how distributed generation reshapes the relationship between technology companies and national grids, exploring whether the UK’s smaller system enables transformation or creates concentration risk. For Boards, this evolution demands governance frameworks that address not just AI deployment but grid participation — before the transition forces answers upon them.

AI Sovereignty Series

Sun, 14 Dec 2025 00:00:00 +0000

AI governance is fragmenting into incompatible systems. Europe prioritises trust through transparency. America pursues speed through scale. China maintains control through integration. For Boards, this isn’t about flexible compliance across markets - it’s about recognising that these systems are so incompatible that trying to serve all three means serving none well. This series examines the strategic implications of AI sovereignty for UK businesses, from energy constraints that create structural disadvantages to regulatory divergence that forces explicit strategic choices.

The AI Maturity Mirage: Diagnosing the Gap Between Investment and Readiness

Sun, 07 Dec 2025 21:00:00 +0000

Boards frequently overestimate AI maturity by focusing on tool deployments rather than genuine capabilities, mistaking isolated pilot successes for systemic organisational readiness. This article exposes the three patterns that create the illusion—tool-centric thinking, pilot success traps, and hype-driven metrics—and provides a diagnostic framework to reveal true position and enable targeted advancement.

Minimum Lovable Governance: The AI Operating Principle Boards Should Use

Sun, 30 Nov 2025 17:10:00 +0000

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.

Minimum Lovable Governance

Sun, 30 Nov 2025 10:00:00 +0000

The Governance Paradox More than 80% of employees - including nearly 90% of security professionals - use unapproved AI tools in their jobs. Yet most organisations have AI governance policies. Comprehensive ones. Carefully documented. Rarely consulted. This paradox reveals something important: governance that exists on paper but gets routed around in practice isn’t governance. It’s documentation. The problem isn’t lack of governance - it’s governance designed as a separate activity rather than structure woven into how work actually happens.

World Models: The Next Horizon in AI for Predictive Enterprise Intelligence

Sun, 23 Nov 2025 17:00:00 +0000

World models mark AI’s shift toward true predictive power, allowing systems to simulate future scenarios and help businesses move from reacting to events to anticipating them. Drawing on emerging research, including Yann LeCun’s work on simulation-based intelligence, this article highlights the practical gains industries like aviation and finance are seeing in operational efficiency through these future-looking tools. For Boards, world models present a tantalising future: the opportunity to turn future insight into present advantage.

The Accountability Gap: When AI Delegation Meets Human Responsibility

Sun, 16 Nov 2025 10:00:00 +0000

While organisations transfer decision-making agency to AI systems, accountability remains with humans, yet boards approve AI deployment without investing in the verification capability needed to ensure it. In this article, I demonstrate why this creates a strategic choice with measurable consequences: augmentation preserves expertise pipelines whilst achieving efficiency gains, but replacement destroys capabilities that cannot be rebuilt, turning apparent cost reduction into systematic competitive disadvantage.

The Compound Loop: Why Agentic AI's Real Power Lies Beyond Generative AI

Sun, 09 Nov 2025 10:00:00 +0000

McKinsey’s 2025 research shows whilst 88% of organisations use AI, only 23% have successfully scaled agentic systems — and even fewer integrate disciplines beyond generative, limiting value to linear gains rather than exponential growth. In this article, I expand the agentic AI definition from “generative AI in a loop” to compound loops that coordinate multiple AI disciplines simultaneously, creating interaction effects that multiply capabilities, simplify governance through unified frameworks, and enable Boards to tackle broader business challenges for lasting competitive advantage.

Agentic AI: Strip Away the Hype and Understand the Real Strategic Choice

Sun, 02 Nov 2025 06:00:00 +0000

Agentic AI has become this year’s poster child, dethroning generative AI as the technology everyone wants to discuss. Yet fundamental misunderstandings about what agentic systems actually do create barriers to successful adoption. This article demystifies the hype by revealing the core truth: agentic AI is generative AI in a loop, where the machine drives iteration instead of a human, making the strategic question not about technology sophistication but where to consciously transfer decision-making agency from people to systems, and at what scale.

Completing the AI Strategy Journey: From Policy to Practice Through Coherent Actions

Sun, 26 Oct 2025 10:00:00 +0100

Deloitte’s 2025 survey shows 69% of boards discuss AI regularly yet only 33% feel equipped to oversee it, whilst MIT finds workers at over 90% of companies already use shadow AI without governance – exposing the execution gap between strategy and action. In this article, I provide sequenced, mutually reinforcing actions that transform the Complete AI Framework from guiding policy into systematic execution, building compound advantage from Day 1 amnesty through Quarter 4 scaling rather than accumulating another collection of disconnected initiatives.

AI Strategy Series

Sun, 26 Oct 2025 00:00:00 +0000

Most organisations approach AI through accumulated business cases, hoping that individual project approvals will somehow cohere into transformation. They don’t. With 92% of companies planning increased AI investment yet only 1% achieving maturity, the gap between ambition and achievement reveals a fundamental misconception: business cases aren’t strategy. This four-part series applies Richard Rumelt’s strategic framework to AI transformation, showing Boards how to move from project-level approvals to systematic capability building. Rumelt teaches that genuine strategy requires three elements working together: accurate diagnosis of the challenge, guiding policy that addresses root causes, and coherent actions that reinforce each other.

Orchestrating Multi-Speed AI: The Complete AI Framework as Guiding Policy

Sun, 19 Oct 2025 10:00:00 +0100

Stanford’s 2025 AI Index shows 78% of organisations using AI, yet McKinsey finds only 21% have redesigned workflows to integrate it – revealing a governance paradox where widespread adoption yields minimal transformation. In this article, I show how the Complete AI Framework serves as guiding policy that transforms the Six Concerns diagnosis into systematic action, enabling Boards to orchestrate multi-speed adoption through integrated governance rather than hoping disconnected projects somehow cohere into strategy.

AI's Interconnected Challenge: Diagnosing the Six Concerns of the Board

Sun, 12 Oct 2025 10:00:00 +0100

The true AI governance challenge isn’t pilot failures – it’s that Boards’ six core concerns demand simultaneous orchestration yet receive sequential attention through project-level adoption. In this article, I show how these interconnected priorities form the proper diagnostic lens for AI governance, revealing why addressing them together as a whole rather than individually determines the difference between transformation and yet another failure.

From AI Pilots and Projects to AI Strategy: Avoiding the Business Case Trap

Sun, 05 Oct 2025 10:00:00 +0100

Boards are approving AI initiatives at record pace – 92% of companies plan increased investment – yet only 1% have achieved AI maturity: the gap reveals a fundamental misconception about AI strategy. In this article, I expose why accumulating business cases creates fragmentation rather than transformation, and why Boards must shift from project-level approvals to orchestrating systematic AI capability before their disconnected pilots become an expensive collection of failures.

After the AI Amnesty: Practical Steps to Operationalise Discovered Shadow AI

Sun, 28 Sep 2025 10:00:00 +0100

Following your AI amnesty programme, speed matters: employees who disclosed shadow AI usage expect enablement, not restriction - the post-amnesty window is critical. In this article, I provide a roadmap for transforming discoveries into governed capabilities that boost organisational productivity and reduce the risk of AI moving back into the shadows again.

Shadow AI and the Case for an AI Amnesty

Sun, 21 Sep 2025 18:00:00 +0100

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.

UK AI Energy Constraints: From Niche Concern to Investment Banking Focus

Sun, 14 Sep 2025 10:00:00 +0100

When investment banks dedicate significant research to power constraints and markets reward energy-backed infrastructure with substantial valuations, UK Boards operating with energy costs four times higher than competitors need frameworks for navigating this validated reality. This article examines how Goldman Sachs’ institutional analysis transforms energy sovereignty from policy concern to strategic imperative, exploring practical approaches for UK Boards seeking competitive positioning in an energy-constrained AI landscape.

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

Sun, 07 Sep 2025 10:00:00 +0100

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.

Crossing the GenAI Divide: Solving The 95% Problem With The Complete AI Framework

Thu, 28 Aug 2025 10:00:00 +0100

New research from MIT provides compelling validation for the AI adoption challenges I’ve been highlighting since 2024: whilst organisations are investing billions of dollars in generative AI, only 5% successfully move from pilot to production. The study confirms what I’ve observed first-hand — the difference between transformation and experimentation lies in coherent governance, not technology capability.

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

Sun, 24 Aug 2025 10:00:00 +0100

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.

From Print to Web to AI: Creating Sustainable Value in the AI Era

Sun, 17 Aug 2025 10:00:00 +0100

AI answer engines like Claude, ChatGPT, and Perplexity are fundamentally reshaping how value flows through information ecosystems. Unlike the web era’s simple traffic exchange, these systems synthesise and enhance proprietary data, creating entirely new possibilities for value creation. Bloomberg and the Financial Times demonstrate how organisations can transform this shift into competitive advantage through innovative AI models and sustainable value exchange frameworks. This article explores how Boards can leverage these lessons to build ecosystems where data owners, AI platforms, and users all benefit from the extraordinary value being created.

AI’s Hidden ROI: Measuring Second and Third-Order Effects for Board Decisions

Sun, 10 Aug 2025 10:00:00 +0100

Traditional ROI calculations capture the obvious: cost savings, faster processes, fewer errors. Yet AI’s most powerful returns often emerge much later, as cascading second and third-order effects transform capabilities, business models, and competitive position. In this article I explore how Boards can identify and measure these hidden gains using leading, lagging, and predictive indicators, while ensuring governance frameworks balance opportunity with risk.

How Agentic AI Turns Your Biggest Tech Problem into Competitive Advantage

Sun, 03 Aug 2025 10:00:00 +0100

In the race to deploy agentic AI, organisations face a fundamental paradox: they’re building tomorrow’s autonomous systems on yesterday’s infrastructure. Drawing from the cloud transformation journey, this article explores how the same legacy architectures that constrain agentic AI also present an unprecedented opportunity. By retiring technical debt, organisations can clear the path for technological change that will define the next era of business competition. For Boards, the choice is clear: deploy agents within existing constraints, or use them to architect the foundation for future competitive advantage.

AI Centre of Excellence: Future-proofing Through Continuous Evolution

Thu, 31 Jul 2025 10:00:00 +0100

You’ve built your AI Centre of Excellence. It’s governing multi-speed adoption, delivering value, and - as we explored in the previous article - scaling beyond pilots to enterprise transformation. But here’s the uncomfortable truth: the AI landscape will look radically different in eighteen months. Multi-agent systems, decentralised agent ecosystems, embodied AI, neurosymbolic reasoning, quantum-AI hybrids, cross-modal intelligence, federated AI networks, and artificial superintelligence will challenge every governance framework you’ve carefully constructed. Having achieved scale, this final article tackles the strategic imperative of continuous evolution: how to future-proof your AI CoE to govern these disruptive technologies whilst building the adaptive capacity to thrive on change rather than being disrupted by it.

AI Centre of Excellence: Scaling Beyond Pilots to Enterprise Transformation

Sun, 27 Jul 2025 10:00:00 +0100

The successful completion of your AI Centre of Excellence’s first 90 days marks an important milestone, but it also brings into sharp focus the next critical challenge. Whilst the AI Initiative Rubric has proven effective for pilot selection and early wins have demonstrated value, the transition from isolated successes to enterprise-wide transformation requires fundamentally different approaches. This progression from pilot to scale represents one of the most significant hurdles in AI adoption, demanding new structures, governance models, and ways of thinking that go well beyond what initial success required.

AI Centre of Excellence Series

Sun, 27 Jul 2025 00:00:00 +0000

Your organisation’s AI systems make millions of decisions whilst you read this sentence. Each decision—every credit approval, pricing adjustment, or customer recommendation—carries risk and opportunity that ultimately rests with your Board. Traditional governance cannot match this velocity. An AI Centre of Excellence provides the infrastructure to coordinate multi-speed AI adoption, build capabilities systematically, and transform ungoverned risk into strategic advantage. This eight-week series provides a practical roadmap for establishing your AI CoE using frameworks proven with organisations worldwide.

Beyond Regulatory Uncertainty: Thoughts on the UK's AI Sovereignty Challenge

Tue, 22 Jul 2025 10:00:00 +0100

Last week in Washington DC, I hosted a dinner where Professor Ajay Agrawal presented data showing that individual AI training clusters will soon require more electricity than entire nations currently generate. Whilst the UK government announces plans to become an AI-first economy, the mathematics are stark: UK businesses face energy costs four times higher than US competitors, creating dangerous dependencies on foreign AI infrastructure.

AI Centre of Excellence: Your First 90 Days With Well-Advised Value Focus

Sun, 20 Jul 2025 10:00:00 +0100

This sixth article in my AI Centre of Excellence (AI CoE) series transforms theory into practice with a comprehensive 90-day implementation roadmap. Moving from capability building to value delivery, it introduces the AI Initiative Rubric - a systematic pilot selection tool that ensures your first initiatives deliver Well-Advised value whilst strengthening Five Pillars capabilities. Complete with sprint portfolios, stakeholder engagement strategies, and common pitfall avoidance, this article provides the practical guidance needed to demonstrate tangible AI CoE value from day one.

AI Centre of Excellence: Building Capabilities That Scale With AI Adoption

Sun, 13 Jul 2025 10:00:00 +0100

The fifth article in my AI Centre of Excellence series provides a comprehensive guide to building essential capabilities across the Five Pillars. Moving from governance frameworks to practical implementation, it details how to develop capabilities that match your multi-speed AI reality - from transforming shadow AI into governed innovation, to creating comprehensive literacy programmes. Complete with a 90-day implementation sprint, maturity assessment tools, and practical templates, this article transforms theoretical understanding into actionable capability development.

AI Centre of Excellence: Designing Structure for Multi-Speed Governance

Sun, 29 Jun 2025 10:00:00 +0100

In the first three articles of this series, we’ve established why Boards need an AI Centre of Excellence (AI CoE), explored the eighteen essential functions that drive AI success, and used the AI CoE Simulator to reveal the multi-speed reality of AI adoption. Now comes the critical question: how do you structure an AI CoE that can effectively govern this complex, multi-speed landscape?

AI Centre of Excellence: Mapping Your Multi-Speed AI Reality

Sun, 22 Jun 2025 10:00:00 +0100

In the first two articles of this series, I’ve explored why boards need an AI Centre of Excellence (AI CoE) and detailed the eighteen functions that determine AI success. But before you can build effective governance, you need to understand where you actually are today - not where you think you are, or where you’d like to be. To help boards navigate this challenge, I’m sharing the AI CoE Simulator - a practical assessment tool taken from my AI governance toolkit that operationalises the AISA framework for real-world use.

AI Centre of Excellence: The Essential Functions of the Five Pillars

Sun, 15 Jun 2025 10:00:00 +0100

Every AI Centre of Excellence (AI CoE) needs a clear operational mandate. Through my experience designing and building Cloud Centres of Excellence for AWS customers, extensive research, and practical implementation, I’ve identified the essential functions that provide comprehensive AI governance without creating bureaucratic overload. These functions, organised around the Five Pillars mechanism, ensure your AI CoE can effectively govern multi-speed adoption while building the capabilities needed for sustainable AI transformation. Understanding these functions, and how they interconnect is crucial for boards establishing effective AI governance.

AI Centre of Excellence Simulator

Sat, 14 Jun 2025 10:00:00 +0100

Simulate your AI journey by exploring different maturity scenarios and seeing how they impact your organisation’s AI readiness. Start by selecting either Uniform Progress or Multi-Speed Reality - this determines whether all five capability pillars advance together in lock step, or whether each pillar can progress at its own pace (which reflects how most organisations actually evolve). Uniform Progress Multi-Speed Reality Not Yet Started Observing Most organisations begin here AI Stages of Adoption (AISA) Experimenting Adopting Optimising Transforming Scaling Experimenting ▶ Characteristics ▶ Key Indicators Ready for the Next Stage?

AI Initiative Rubric

Sat, 14 Jun 2025 10:00:00 +0100

Use the AI Initiative Rubric to evaluate AI initiatives against the Well-Advised strategic priorities and Five Pillars capability areas to ensure balanced value creation, strategic alignment, and capability building. Initiative Details Initiative Name Description Current Stage Concept Pilot Implementation Scaling Expected Timeline 0-3 months 3-6 months 6-12 months 12-18 months 18-24 months 24+ months How to Score Click each outcome to cycle through scoring levels: Not Assessed → 0 (No Impact) → 1 (Minimal) → 2 (Limited) → 3 (Moderate) → 4 (Significant) → 5 (Transformative).

AI Centre of Excellence: Moving Beyond Shadow AI Risk to Scaled AI Adoption

Sun, 08 Jun 2025 10:00:00 +0100

Boards face an unprecedented governance challenge as AI systems operate at speeds traditional oversight cannot match. With the vast majority of AI pilots failing to reach production and shadow AI creating unmanaged risks across organisations, establishing an AI Centre of Excellence has become essential board infrastructure. This article explores how an AI CoE provides the governance framework needed to coordinate multi-speed AI adoption, build capabilities systematically across the Five Pillars, and transform ungoverned AI risk into strategic competitive advantage.

A Complete AI Adoption Framework: AISA, Five Pillars, and Well-Advised

Sun, 01 Jun 2025 10:00:00 +0100

I’m regularly asked how to use the AI Stages of Adoption, Five Pillars, and Well-Advised together practically. In this article I explain how these three mechanisms integrate to address the unique challenge of AI’s multi-speed adoption across different business functions. I provide a straightforward approach for boards to coordinate AI transformation whilst managing the governance complexities that emerge when different parts of the organisation advance at different speeds.

Rethinking Business Cases in the Age of AI: and Securing Buy-In from the Board

Mon, 19 May 2025 10:00:00 +0100

Even the most meticulously crafted AI business case can fail at the final hurdle - securing Board buy-in. With research showing 88% of AI pilots never reach production, effective presentation isn’t just about gaining initial approval but establishing the path to full implementation. This final article in my series explores how to present AI investment proposals to Boards, addressing their six key areas of concern while building the stakeholder confidence necessary for successful transformation. By understanding Board dynamics, anticipating objections, and structuring presentations that balance strategic vision with implementation rigour, you can navigate the critical journey from business case to production-scale AI.

AI Business Case Series

Mon, 19 May 2025 00:00:00 +0000

Traditional business case methods fall short when evaluating AI investments. Unlike cloud’s sequential journey, AI initiatives exist simultaneously across different maturity stages, creating valuation challenges that standard metrics cannot capture. The stakes are high - despite significant investment, more than 80% of organisations haven’t seen tangible enterprise-level impact from generative AI. This five-part series develops a comprehensive approach to AI business cases that recognises their unique characteristics while maintaining financial discipline.

Rethinking Business Cases in the Age of AI: Building Your AI Business Case

Mon, 12 May 2025 10:00:00 +0100

Organisations are demanding disciplined, comprehensive business cases for AI initiatives that balance traditional financial rigour with frameworks capturing AI’s unique value creation patterns. In this fourth article in my series on AI business cases, I provide a step-by-step guide to building AI business cases that secure approval and set the foundation for successful implementation.

Rethinking Business Cases in the Age of AI: Finding High-Value AI Opportunities

Sun, 04 May 2025 10:00:00 +0100

Finding high-value AI opportunities requires looking beyond the obvious. While most organisations gravitate toward trendy applications like chatbots, the most impactful AI initiatives often lie in less visible but more strategically significant processes. By applying a structured evaluation approach that examines process characteristics, strategic alignment, and implementation feasibility, boards can identify AI investments that deliver transformative value across multiple business dimensions. This systematic method ensures scarce resources target opportunities with the greatest potential impact rather than those with merely the highest visibility or short-term appeal.

Rethinking Business Cases in the Age of AI: Creating the Foundation

Mon, 28 Apr 2025 10:00:00 +0100

Building on my previous thoughts about why traditional business cases fail for AI investments, this article explores what I consider to be the essential building blocks for a more effective evaluation approach. This foundation provides boards with the tools to assess AI’s unique value creation patterns while maintaining financial discipline - helping leaders confidently navigate investment decisions that conventional models simply cannot adequately evaluate.

Rethinking Business Cases in the Age of AI: What Boards Need to Know

Tue, 22 Apr 2025 10:00:00 +0100

In today’s AI-driven landscape, traditional business case methods fall short when evaluating AI investments. Drawing from my experience developing AWS’s cloud business case tools, I explore why conventional ROI models struggle with AI’s parallel, multi-speed adoption patterns. Unlike cloud’s sequential journey, AI initiatives exist simultaneously across different maturity stages, creating valuation challenges that standard metrics can’t capture. Boards need new evaluation approaches that account for AI’s diverse cost structures, varying timelines for returns, and how investments in one area often enable value in entirely different parts of the business.

Upskilling for the AI Era: Building a Future-Ready Workforce

Mon, 14 Apr 2025 10:00:00 +0100

As I discussed in my article on building and managing AI-capable teams, organisations face a critical challenge in acquiring the right talent for AI transformation. This reminds me of the early days of cloud adoption, when I advised enterprises on their migration strategies. Back then, I witnessed the same scramble for scarce talent, which led me to advocate strongly for upskilling existing teams rather than relying solely on external hiring.

Implementing Decision Analytics: A Practical Guide for Boards

Thu, 03 Apr 2025 06:00:00 +0000

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.

Transforming the Board: Using Decision Analytics for Strategic Advantage

Sun, 23 Mar 2025 06:00:00 +0000

In my article The Board in the machine, I argued that “Boards will find that there are no barriers to making the right decisions at the speed of light”. More recently, in AI is transforming governance: Six key Boardroom priorities, I observed that boards “are moving from overseeing hundreds of decisions made per day to millions made per second”. This acceleration of business decision velocity presents both an unprecedented challenge and opportunity for Directors and the Boards they serve.

Navigating the AI Regulatory Maze: A Boardroom Survival Guide

Sun, 16 Mar 2025 10:00:00 +0100

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.

From Shadow AI to Strategic Asset: Building Your AI Centre of Excellence

Wed, 12 Mar 2025 10:00:00 +0100

In my previous articles about the AI Stages of Adoption and the Five Pillars of AI maturity and capability, I briefly touched on the role of the AI Centre of Excellence (AI CoE). Since publishing those pieces, I’ve spoken with numerous Boards and business leaders about AI adoption and the importance of board-level AI governance. A recurring question emerges in almost every conversation: “What are the practical steps to establishing an AI CoE in our business?”

The Five Pillars of AI Capability

Sun, 02 Mar 2025 10:00:00 +0000

The Question AISA Doesn’t Answer When I introduced the AI Stages of Adoption, the most common follow-up question was immediate and practical: “How do we know when we’re truly ready to move from one stage to the next?” It’s a crucial question. I’ve seen organisations celebrate early pilot successes and immediately attempt to leap from Experimenting straight to Optimising, only to encounter significant challenges. The reality is that AI adoption isn’t merely about completing pilots or deploying new technologies - it’s about developing fundamental organisational capabilities that enable sustainable progress.

Increasing AI Maturity: Navigating the AI Stages of Adoption with the Five Pillars

Sun, 02 Mar 2025 10:00:00 +0100

In my previous article on the AI Stages of Adoption (AISA), I outlined how organisations progress through their AI journey—from Experimenting to Adopting, Optimising, Transforming, and ultimately Scaling. Since publishing that piece, many readers have asked the same follow‐up question: “How do we know when we’re truly ready to move from one stage to the next?”

Understanding the AI Stages of Adoption: A framework for business leaders

Fri, 21 Feb 2025 10:00:00 +0100

In June of 2024, I introduced the concept of the AI Stages of Adoption (AISA), a framework for understanding where organisations are in their AI journey. Since then, I’ve had countless conversations with business leaders about how this framework helps them navigate their transformation. Today, I want to share a deeper perspective on AISA and how you can use it to accelerate your organisation’s AI adoption.

Demystifying data monetisation: Insights for private equity portfolio companies

Thu, 13 Feb 2025 10:00:00 +0100

Last night, I had the pleasure of returning to the Chief Wine Officer event series on behalf of AWS, this time addressing leaders from private equity portfolio companies on a topic close to my heart: turning organisational data into strategic value. The evening, hosted at Spring at Somerset House, brought together executives eager to explore how to accelerate value creation through data monetisation within PE timeframes.

AI is transforming governance: Six key Boardroom priorities

Tue, 04 Feb 2025 10:00:00 +0100

The rapid advancement of artificial intelligence is fundamentally changing the velocity of business decision-making and how organisations operate, compete, and create value. With AI, boards are moving from overseeing hundreds of decisions made per day to millions made per second - and they must be confident that each of those decisions is transparent, explainable, and correct.

The enterprise data advantage: Turning information assets into strategic value

Mon, 27 Jan 2025 10:00:00 +0100

In 1998, I walked into the headquarters of our newly acquired newspaper group in Leeds, a result of a private equity-backed management buyout of United News & Media’s regional newspaper and magazine titles. Tasked with ‘doing the internet’, I found a small semblance of online activity in the form of a basic advertising website for the Yorkshire Post. A couple of weeks of getting my feet under my desk yielded a digital goldmine - 271 years of content waiting to be transformed into digital assets.

The future of AI expertise: Building and managing AI-capable teams

Tue, 21 Jan 2025 10:00:00 +0100

As organisations adopt artificial intelligence (AI) more widely, a critical challenge emerges: how do you build and manage teams capable of delivering on AI’s promise of increased productivity, enhanced customer experiences, accelerated innovation, and sustainable competitive advantage?

Measuring AI value: A strategic framework for Boards and business leaders

Mon, 13 Jan 2025 04:00:00 +0000

In my early years at Amazon Web Services (AWS), I created a tool for building cloud business cases that went beyond measuring just total cost of ownership and now forms the basis of our approach to costing migrations. I later co-authored the Cloud Value Framework (CVF) which focusses on measuring cloud value across four areas: cost optimisation, risk reduction, increased agility, and resource efficiency. So it should come as no surprise that I often get asked by Boards and the executives I meet “How do we decide if we should make an AI investment and how do we measure its ROI?”

Selecting your enterprise LLM: Moving beyond the hype to make the right choice

Fri, 03 Jan 2025 06:00:00 +0000

Over the past year, I’ve been asked regularly what the best way of selecting a Large Language Model (LLM) is. With over 146 LLMs listed in Ollama’s model library alone, selecting the right model has become increasingly complex. While ChatGPT dominates headlines, businesses must look beyond hype to match the right model to their specific needs. Choosing the right LLM isn’t just a technical decision—it directly impacts your organisation’s ability to drive innovation and achieve its strategic goals, making collaboration between technical and non-technical teams essential to ensure that both business needs and operational constraints are fully understood.

Well-Advised: Measuring AI Value

Wed, 01 Jan 2025 10:00:00 +0000

The Cost Savings Trap Most organisations evaluate AI investments primarily through the lens of operational efficiency. The business case centres on cost reduction, headcount savings, and process automation. These metrics are familiar, measurable, and easy to justify. They’re also dangerously limited. In my conversations with Chartered Directors and their Boards, I consistently see organisations that have optimised their AI portfolios for efficiency gains while missing innovation opportunities, customer value creation, and strategic differentiation.

Europe's AI challenge: Why culture trumps capital in technology adoption

Fri, 13 Dec 2024 08:00:00 +0000

While here in San Francisco for a business trip, I got the opportunity to spend time with technology innovators and leaders, and what struck me was the contrast in AI adoption approaches, and openness to transformation using AI compared to my experiences in Europe. A new benchmark report from Gallup has confirmed what many of us in technology leadership have long suspected: Europe’s lag in AI adoption isn’t a matter of insufficient capital – it’s a cultural challenge that runs deep.

Cookies

Wed, 23 Oct 2024 06:11:14 +0000

This cookie policy explains how I use cookies on my Website. What are cookies? Cookies are small text files that websites store in your web browser (if you agree) when you visit them. They serve as a memory for those websites, helping to improve your browsing experience in several ways: Essential cookies enable basic website functions, like keeping you logged in or remembering items in your shopping cart Performance cookies collect anonymous data about how visitors use the site, helping owners understand and improve their website’s functionality Preference cookies remember your settings, such as language choice or color theme Advertising and third party cookies are set by external services, like analytics tools or social media platforms, and can track your activity across different websites Most modern web browsers allow you to control cookie settings, letting you accept or reject different types of cookies.

Unlocking your data with AI: Insights from Monday.com Elevate

Thu, 19 Sep 2024 12:15:00 +0100

Last week, I had the privilege of delivering a keynote presentation at Monday.com’s Elevate conference in London. The topic, “Leveraging data and artificial intelligence (AI) for organisational transformation,” allowed me to challenge some common misconceptions about AI adoption and share practical insights on harnessing the power of existing data. In this post, I outline the key themes discussed and provide some additional context.

Beyond the hype: Unlocking the true potential of AI in business

Wed, 19 Jun 2024 08:15:00 +0100

In the wake of the meteoric rise of generative AI, it’s easy to get swept up in the hype and believe that this single branch of artificial intelligence (AI) is the whole story. Platforms like ChatGPT have undeniably captured the public imagination, marking the first mass consumerisation of AI technology. However, focusing solely on generative AI risks overshadowing the diverse and equally transformative types of AI that have been quietly but powerfully driving business innovation.

Introducing the AI Stages of Adoption: A framework for understanding AI readiness in your business

Thu, 13 Jun 2024 14:15:00 +0100

Earlier this week, I got the opportunity to speak at our Amazon Web Services (AWS) office in London, to an audience of Private Equity firms and their portfolio company executives about driving value creation through AI and data. The presentation focused on how Private Equity firms and their portfolio companies can drive value creation through AI and data. I also took the opportunity to introduce a new concept called the AI Stages of Adoption (AISA), which is designed to help organisations assess their maturity and readiness for AI adoption.

AI Stages of Adoption (AISA)

Thu, 13 Jun 2024 10:00:00 +0100

The Problem with Traditional Adoption Models Most technology adoption frameworks assume organisations progress uniformly through stages over time. Cloud adoption worked this way - IT led a sequential journey from initial projects through migration to reinvention, with the whole organisation moving broadly together. AI doesn’t work like that. When I speak with Chartered Directors and their Boards, I consistently encounter a disconnect between how they think about AI maturity and what’s actually happening in their organisations.

Dawn of the three-hour work week: AI's impact on employment and compensation

Sun, 09 Jun 2024 14:15:00 +0100

As artificial intelligence (AI) advances into the workplace rapidly, one of the most pressing questions on everyone’s mind is, “If machines can do our jobs faster, more accurately, and at a lower cost, what happens to us?” It’s true that AI is beginning to redefine the very essence of work, raising concerns about the potential displacement of knowledge workers. However, I’d like to propose an alternative perspective—one where those same workers earn the same or more whilst working far fewer hours.

Harnessing AI for organisational change led from the Board

Fri, 07 Jun 2024 14:15:00 +0100

I had an incredible afternoon as a guest lecturer at the The London School of Economics and Political Science (LSE) where I got to discuss harnessing AI for organisational transformation led from the Board, at this summer’s Data Science for Executives class.

Amazon Bedrock launches Custom Model Import

Tue, 23 Apr 2024 14:15:00 +0100

Custom Model Import is game changing! If you own your own corpus of data and are using it to train your own models, you can now bring those models to Amazon Bedrock’s secure, managed environment.

AWS launch Meta Llama 3 on Amazon Bedrock

Tue, 23 Apr 2024 14:00:00 +0100

Just as we were catching our breath on Claude 3 Opus arriving on Amazon Bedrock, here we go again, this time it’s Meta’s Llama 3 model - designed for you to build, experiment, and responsibly scale your generative artificial intelligence (AI) applications; now with improvements in reasoning, code generation, and instruction.

AWS launch Anthropic Claude 3 Opus on Amazon Bedrock

Tue, 16 Apr 2024 23:00:00 +0000

This just in! Anthropic’s Claude 3 Opus foundation model is now available on Amazon Bedrock, joining Claude Sonnet and Claude Haiku. Bedrock is now the first and only place to offer all three Claude 3 models in general availability.

Biography

Fri, 12 Apr 2024 12:48:56 +0000

I am a transformational business leader with nearly three decades of experience enabling enterprise-wide change and sustainable growth across start-ups, enterprises, and the public sector. Beginning my career as a software engineer, I have progressed into senior leadership roles spanning product development, business development, professional services, and board advisory. I currently serve as Head of Applied AI & Emerging Technology Strategy at Amazon Web Services, where I lead global initiatives helping organisations harness artificial intelligence, data, cloud, and emerging technologies to accelerate transformation, strengthen governance, and deliver sustainable business value.

Headshots

Fri, 12 Apr 2024 12:48:56 +0000

The following official headshots are available to be used for interviews and event promotion for events being supported by Mario Thomas. Right-click on the image and save to receive the full size image.

The executive's guide to generative AI

Mon, 08 Apr 2024 00:10:00 +0000

I recently spoke with Duncan Jefferies about how businesses can effectively harness generative AI to drive organisational transformation. The resulting AWS executive’s guide to generative AI offers a comprehensive roadmap for business leaders navigating this transformative technology. Here are the key insights and practical steps for organisations looking to unlock the potential of generative AI.

PartyRock: Madonna Song-To-Tour Finder

Fri, 17 Nov 2023 00:06:00 -0500

Given Adam’s announcement yesterday about Amazon PartyRock powered by Amazon Bedrock, I decided I couldn’t wait to get my hands on it and see what kind of app I could build.

My PGP Key

Thu, 16 Nov 2023 11:57:02 +0000

If you’d like to send me encrypted information or messages you should do this using PGP. Obtain PHP Software You can obtain a version of GPG Suite from GPGTools. Additionally, GnuPG is available as freeware. 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Thank You for Enquiring

Thu, 16 Nov 2023 11:57:02 +0000

Thank you for taking the time to connect with me about implementing this blog post. I appreciate your interest in continuing this important conversation. I’ll respond to your message as soon as possible, typically within 1-2 business days. The insights you’ve shared about your organisation’s context will help me get up to speed before we speak. If you’re looking to explore more content, check out my featured articles in the list to the right.

Thank You for Subscribing!

Thu, 16 Nov 2023 11:57:02 +0000

Thank you for joining my newsletter community. I’m delighted to have you as a subscriber and look forward to sharing insights on AI, board governance, cloud technologies, and organisational transformation driven through data directly to your inbox. What to Expect Each month, you’ll receive curated content including: The latest articles from my blog Exclusive insights on AI adoption and governance Updates on speaking engagements and events Practical frameworks for implementing AI and cloud technologies in your business My goal is to provide clear, actionable information that helps you navigate the complexities of digital transformation and AI integration at the board and executive levels.

Generative AI: hype not hyperintelligence is lifting values

Wed, 15 Nov 2023 00:12:00 +0000

Interesting read (pay-walled) in the Financial Times on what’s driving valuations in the generative AI space. The key to the adoption of any technology is finding the right investment case and quickly demonstrating proof of value. Generative AI is no different.

Demystifying AI: My Chief Wine Officer Talk

Tue, 14 Nov 2023 00:20:00 +0000

Last night I had the pleasure of speaking at the Chief Wine Officer event hosted by AWS at London’s National Portrait Gallery. The focus was on demystifying generative AI and helping business leaders understand how to harness its potential for real organisational transformation.

The Executive's Guide to the Digital Workplace

Fri, 15 Sep 2023 00:10:00 +0000

I recently contributed to the AWS Executive’s Guide to the Digital Workplace, exploring how organisations can successfully navigate digital transformation and build robust cloud-based infrastructures. Here are the key insights leaders need to consider when driving workplace digitalisation.

Driving organisational transformation in a downturn

Tue, 22 Nov 2022 00:12:00 +0000

In my article about not taking your foot off the gas, published just as the world returned to some degree of normality in July 2021, I discussed that the pandemic was the forcing function that challenged businesses to adapt and engage in broad organisational transformation using the cloud, and that it should not be seen as a reason to slow down.

The Board in the machine

Mon, 17 Oct 2022 00:12:00 +0000

I recently hosted a fireside chat for the AWS Summit EMEA with Intel’s Global Leader for AI Solutions, Monica Livingston. We discussed how Artificial Intelligence (AI) and Machine Learning (ML) are quickly becoming ubiquitous in business. The conversation prompted me to think about how Boards should be thinking about the use of AI and ML in their businesses, and how they need to ensure they are making the right decisions at the speed of light.

The CFO is central to any cloud transformation

Wed, 17 Aug 2022 07:52:00 +0000

CFO Magazine in The Netherlands interviewed me today on the role of the CFO in any cloud transformation. You can read the article here in Dutch.

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