Tag: AI
-
Your AI Can Predict. But Can It Explain Why?
Today’s, Generative, AI can predict with impressive accuracy, but 74% of the time its stated reasoning doesn’t reflect how it actually reached its conclusion. As organisations push AI into higher-stakes decisions, that explanation gap is becoming a board-level governance liability. Causal AI offers a way to close it.
-
Your Employees Are Already Using AI
Most companies are spending billions on AI programmes that aren’t delivering. Meanwhile, their own employees have quietly found AI tools that work and are using them without permission. The smartest organisations aren’t trying to stop this. They’re learning from it.
-
Is Enterprise AI Actually Working?
While enterprise AI spending is skyrocketing, 95% of pilots fail to deliver measurable financial returns. The issue isn’t the technology, it’s organisational strategy. Success belongs to the “5%” who prioritize back-office automation, favour specialist vendors over in-house builds, and treat AI adoption as a change management challenge rather than a technical one.
-
Your Encryption Has an Expiry Date
Quantum computers will eventually break the public-key cryptography protecting your systems. Adversaries are already harvesting encrypted data, waiting to decrypt it later. With regulatory deadlines starting in 2027, organisations need to begin migrating to quantum-resistant encryption now. Here’s what you need to know – and do.
-
Your ‘AI’ Probably Isn’t AI
Many companies mistake Robotic Process Automation (RPA) for AI, a confusion that risks future competitiveness. While RPA follows rigid scripts for repetitive tasks, true AI adapts to new data and makes independent judgments. Distinguishing between ‘agent-washed’ marketing and genuine reasoning capabilities is crucial for building a scalable business foundation.
-
THE ETHICS ILLUSION
AI ethics has become a box-ticking exercise. Over 200 guidelines published worldwide, yet harms keep growing. Why? Principles without enforcement, ethics boards without power, and companies using ethical language to avoid real change. This analysis explains what’s broken and what business leaders must do differently.
-
The AI Boardroom Playbook – Approve Thoughtfully, Avoid Disaster
Boards can’t blame the algorithm when AI goes wrong. Courts want human accountability. This guide shows how to govern AI projects without killing innovation—fix accountability, make oversight real, and distinguish between recoverable mistakes and catastrophic failures.
-
Cyber Risk is Business Risk: Why Security Belongs in the Boardroom
Cybersecurity is not a technical issue but a board-level ethical responsibility. Organisations make a promise to protect the data they collect, and failing to do so erodes trust, damages reputation, and creates strategic risk. Strong governance, honest risk decisions, and a security-driven culture are essential for leadership.
-
The Emperor’s New Algorithm
Many vendors exaggerate or fabricate their use of AI, putting buyers at legal and operational risk. From false automation claims to failed “AI” safety systems, the costs are real. Regulators are cracking down, so buyers must demand technical evidence, measurable performance, and contracts that clearly assign liability and exit rights.
-
Cyber Risk Appetite – The Strategic Decision Every Board Must Master
Setting a cyber risk appetite is a critical boardroom activity, defining how much risk a business can tolerate. Moving beyond technical metrics, boards must align cybersecurity with strategic goals using frameworks like NIST and MITRE ATT&CK. Clear governance and realistic stress-testing ensure resilience, fostering trust and competitive advantage.
Curious About 