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Executive Data & AI Brief

I am a fractional Data & AI leader and Speaker. I help ambitious organisations modernise and deliver Data & AI value - fast. The Executive Data & AI Brief is a short weekly publication helping senior leadership teams deliver value from Data & AI while navigating risks, complexity and accountability.

The Business Case for Data Architecture
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Issue #5 • 2026 — The Business Case for Data Architecture in the Age of AI

The Business Case for Data Architecture in the Age of AI Most organisations never designed for data. Those that did, designed it to serve analytics - not AI. Either way, the architectural foundations AI requires do not yet exist. 01 — THE SIGNAL In most organisations, data was never designed. It accumulated - as a by-product of transactions, systems built to run operations, and local reporting needs. Definitions diverged quietly. Ownership was assumed rather than assigned. Governance, where...

The Shift from Prompt Engineering to Context Engineering When better prompts are no longer the answer THE SIGNAL From Instruction to Information — What Actually Changed For most of the past two years, organisations focused their AI energy on prompt engineering - improving how instructions are written and how tasks are framed. In controlled pilots this worked well. A small group of users understood the task, held the context in their heads, and could refine the prompts until the output...

There Are Four Ways to Source AI Innovation. Most Leaders Are Over-Indexing on Two. Executive Data & AI Brief · Issue #3 · 2026 Four perspectives. One complete picture of where AI creates value. THE SIGNAL As Data & AI embed in the organisation, the emerging leadership question is: where should we look for meaningful value? Most organisations rely on whatever surfaces through internal idea boards, departmental proposals, technology teams, or transformation programmes. These channels are...

AI Transparency Requirements are Turning Data Inventory Into A Strategic Asset Reference context: Recent AI transparency laws (e.g. California AB 2013; EU AI Act) require disclosure of training data summaries. THE SIGNAL AI transparency requirements are making data provenance and usage explainability a prerequisite for deploying and scaling AI. Legislative regimes such as the EU AI Act and emerging state-level requirements (including California) now require organisations to account for 1)...

Agentic AI Maturity: Why Most Organisations are further along than they think. THE SIGNAL Agentic AI maturity - defined here as the degree of autonomy AI systems exercise in the organisation - is not progressing linearly. Most organisations are further along than they realise. Many believe they remain in "early experimentation", yet have already crossed critical maturity thresholds without recognising it, because maturity is being driven by behaviour, not intent. The result is a growing gap...