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 […]
The Hidden Cost of Uncontrolled AI in Regulated Enterprises
International Organization for Standardization EU Artificial Intelligence Act Most regulated organisations already have AI in production. They simply do not know where, how, or on what terms. AI adoption has shifted from experimentation to operational dependence. Generative systems now support customer service, underwriting, credit assessment, marketing content, legal review, software development, fraud detection, and internal […]
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
Executive summary Artificial intelligence has moved decisively from experimentation to operational dependency. Boards are no longer asking whether AI is being used; they are asking whether it is controlled, defensible, and auditable. ISO 42001 marks a structural shift in how organisations are expected to govern AI, reframing AI not as a technical capability but as […]
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 […]
Procurement Directors: The AI Contracting Playbook
How to Buy GenAI Without Lock In, Hidden Usage Costs, or Uninsurable Compliance Risk GenAI procurement fails in predictable ways because most organisations try to buy it like SaaS: fixed licence, generic data clauses, and a security schedule that assumes stable, deterministic software. GenAI is not that. It is stochastic, usage-metered, supply-chain heavy (models, hosting, […]
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” […]
Building an Ideation-to-Demand Pipeline: How Enterprises Surface Real AI Value, Prevent Shadow AI, and Balance Vendor Influence
AI succeeds in an organisation only when deployment aligns with how people actually work. The highest-value opportunities do not emerge from vendor roadmaps, technology demonstrations, or leadership assumptions shaped by the latest platform capability. They emerge from workflow friction: the repetitive, time-consuming, error-prone steps that users experience daily but rarely escalate formally. Establishing a structured […]
Why the Emerging AI Governance Gap Should Alarm Enterprise Leaders
The BSI (British Standards Institution) has issued a stark warning: many organisations are embracing AI at pace — yet far too few have implemented adequate governance frameworks. The State of Play: Rapid AI Investment, Weak Governance A recent BSI–commissioned global study — combining an AI-assisted analysis of over 100 multinational annual reports with two surveys […]
Australia’s new stance: no standalone AI law, lighter regulation
Taken collectively, these steps represent a clear shift away from the idea of a dedicated, sweeping AI regulation framework. The emphasis is on leveraging existing laws — privacy, consumer protections, liability, workplace regulation — augmented by soft governance (guidance, oversight, monitoring), rather than creating novel, AI-centric statutes. Interpretation: What does this tell us about Australia’s […]
Anthropomorphising Artificial Intelligence: Why Human Metaphors Distort Enterprise Decision-Making
Enterprise leaders increasingly rely on artificial intelligence to automate complex processes, analyse high-volume data, and support decision-making. Yet the language used to describe AI systems remains deeply human. We speak of models that hallucinate, agents that decide, systems that understand, and tools that learn. These metaphors create the illusion of human-like cognition where none exists. For CIOs, CISOs, and […]