Strategic AI Guidance

The Fickle Nature of AI Choice: Why SME Leaders Must Design for Switchability, Not Loyalty

In early 2026, a visible and rapid migration occurred across professional communities from OpenAI’s ChatGPT to Anthropic’s Claude. The shift was not gradual procurement drift. It was immediate behavioural change driven by perceived performance differentials, feature releases, and reasoning improvements. This was not a reputational collapse. It was a capability inflection. For SME directors and […]

Title: From Pilot to Production: The Governance Gap Killing AI ROI

Most AI pilots look successful on paper. Accuracy improves. Cycle times fall. Staff engagement rises. Slide decks circulate. Executive sponsors take notice. Then momentum stalls, somewhere between demonstration and deployment. The problem is rarely model performance. It is governance. More precisely, it is the absence of governance designed for production rather than experimentation. Across regulated […]

Same Challenge, Different Subject

Every major wave of information technology follows the same arc. The subject matter changes, the terminology evolves, and the vendors rebrand the promise, but the underlying organisational behaviour remains stubbornly consistent. From mainframes to personal computing, from the internet to cloud, and now with artificial intelligence, enterprises repeat the same mistakes, in the same order, […]

ISO 42001 and the Rise of Auditable AI: What Boards Now Expect From AI Controls

Artificial intelligence has moved decisively out of experimentation and into operational, customer-facing, revenue-affecting systems. As a result, boards are no longer asking whether AI is innovative or efficient. They are asking whether it is controllable, defensible, and auditable. This shift explains the rapid rise in attention toward ISO 42001 and the broader concept of auditable […]

CFO and Procurement: From Tool Sprawl to Portfolio Discipline

How to Consolidate AI Spend, Negotiate Better Commercials, and Prove Value in 90 Days Executive context Enterprise AI adoption is now following the same arc as early cloud: rapid experimentation, fragmented buying, overlapping capabilities, and a cost model that shifts from capital to variable consumption. The difference is that AI adds new forms of risk […]

CFOs: Stop Funding “AI Pilots” and Start Funding Measurable Outcomes

A Procurement Ready Model for ROI, Risk, and Run Rate Control Enterprise AI spending is drifting into a familiar pattern: small pilots, short proofs of concept, and disconnected tool trials that never graduate into controlled, auditable, value producing capabilities. Finance then sees unpredictable invoices, fragmented licensing, inconsistent security posture, and a backlog of “promising experiments” […]

AI Infrastructure Is Starting to Look Like the New Cloud, But Only for Organisations That Build the Control Plane

Enterprise technology funding signals for 2026 suggest a decisive migration from experimentation to industrialisation. Gartner’s 2026 CIO and Technology Executive research highlights a consistent pattern: increased investment intent in GenAI and AI, with parallel uplift in cybersecurity, data and analytics, cloud platforms, application modernisation, and integration technologies.   The implication is not simply “more AI spend”. […]

Is the AI bubble going to burst, and if so what can I do to protect my company?

Signs of structural instability within the current AI market are becoming increasingly visible. Valuations have risen at a rate detached from commercial reality, driven by unprecedented investment inflows and by a level of customer experimentation that is itself temporary. The underlying concern is straightforward: the revenue profile supporting today’s trillion-dollar valuations is not durable. A […]

Understanding User Demand: The Most Reliable Indicator of Where AI Can Deliver Value

Organisations often begin their AI journey with a set of assumptions at the leadership level. These assumptions are typically shaped by market narratives, vendor demonstrations, and the generic capabilities embedded into commercial AI platforms. Yet these assumptions frequently fail to match the real operational needs and behaviours within the user community. Effective AI adoption requires […]

Leveraging AI-Driven Automation to Improve Efficiency and Free Up People in SMEs

The Next Efficiency Revolution for SMEs For most small and medium-sized enterprises (SMEs), the conversation about artificial intelligence (AI) has shifted from “what is it?” to “how can it help me today?” The truth is that AI isn’t just for big tech anymore. Its most immediate value for SMEs lies in something deeply practical: improving […]

The Vanishing Talent Pipeline: Rethinking Succession Planning in the Age of AI Automation

Introduction: The Quiet Crisis in Talent Development AI is transforming the workforce faster than HR strategies can keep up. Automation and intelligent systems are rapidly replacing large pools of entry-level roles — particularly in call centres, customer service, data processing, and administrative support. On the surface, this looks like efficiency. But beneath the headline productivity […]

From Cost Centre to Growth Engine: Rethinking AI ROI for 2026

For many SMEs, artificial intelligence has so far been treated like a shiny add-on — an interesting experiment rather than a fundamental business driver. It’s been placed under “innovation,” “IT,” or “R&D” budgets, often without the same financial rigour used for core revenue-generating activities. But as we head into 2026, that mindset must change. AI […]