Externalising Cognition with AI

Using ChatGPT as an applied cognitive enhancement system. Most AI publications focus on speed and output quality. This piece makes a different observation: that the more consequential shift may lie in how cognitive judgement is supported. What follows describes the process that emerged and why it suggests the potential for enhanced professional decision-making and accountability […]

Riding the AI Wave — No Face-Planting

Enterprise-grade AI governance: stopping drift from becoming a rip tide. Introduction: capability and responsibility As organisations move from experimenting with large language models to deploying agentic systems – systems that can reason, decide, and take action – the risk profile changes fundamentally. An AI system that merely generates text is one thing. An AI system […]

On Melting Icebergs

Change Management Tools. Change Management refers to a structured de-risked approach to the design and delivery of change. Holistically the process should be designed based on outputs from a unique tool set applied to the context of the change. Often this will be in tandem with systematic change, such as the introduction of a new […]

The Frontier Blueprint: Breaking it Down

This article is based on Microsoft’s 2025 Work Trend Index report, “The Year the Frontier Firm Is Born.” It supports and communicates the report’s core ideas—without copying it—while adding a scientific tone, clear structure, counterpoints, citations, and a forward-looking call to action and offers how GhostGen.AI can support this. Executive Summary 2025 marks a turning […]

Vivid memory imaging techniques

Vivid memory imaging technique – it works. Reciting memory techniques are OK but you walk through the memory visually, hear it, smell it – the memory will embed much quicker and be easier to recall. This principle underpins mind maps and memory palaces — and it transfers cleanly to interviews and high-pressure recall. If you […]

Battle Ready Shielding: Evidence-Based AI Security

This paper summarises evidence-based AI security risks and mitigations drawn from published research, regulatory frameworks, and operational practice. Introduction Generative AI systems are now routinely deployed in environments that affect customers, employees, finances, and regulatory obligations. In many organisations, large language models (LLMs) are integrated with retrieval systems, automation tools, and business workflows to provide […]