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BLOGS
From the Edge
A collection of features and articles based on deep research and market trends.
Recent Blog Posts
AI Strategy Scotland: The Economics of New Jobs and What Business Leaders Need to Know
Most of the analysis being published about AI and employment is answering the wrong question. Supply has eaten the conversation: which roles are most exposed, which tasks can be automated, which professions sit on safer ground. All of it rests on an assumption that the amount of work to be done stays roughly constant as the cost of doing it falls.
Agentic AI Governance: The 4 Cs Framework UK Boards Need in 2026
Culture comes first. Technology follows. There is no other sequence that works. Most organisations approach AI readiness backwards. They invest in infrastructure first, data platforms second, and culture last, if at all.
THE HYPE: The Hidden Cost of 'Context' in AI That Every Business Leader Must Know
The boardroom conversation around artificial intelligence has, until now, fixated on model capabilities and upfront licence fees. This narrow lens is proving dangerously inadequate. Across FTSE 350 companies and mid-market PLCs, a silent cost escalation is underway, one driven not by the AI models themselves but, by the context they consume. Every document ingested, every customer interaction logged, every agentic workflow executed: each carries a chain of token consumption,
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Agentic AI Governance: The 4 Cs Framework UK Boards Need in 2026
Culture comes first. Technology follows. There is no other sequence that works. Most organisations approach AI readiness backwards. They invest in infrastructure first, data platforms second, and culture last, if at all.
Mar 2610 min read
THE HYPE: The Hidden Cost of 'Context' in AI That Every Business Leader Must Know
The boardroom conversation around artificial intelligence has, until now, fixated on model capabilities and upfront licence fees. This narrow lens is proving dangerously inadequate. Across FTSE 350 companies and mid-market PLCs, a silent cost escalation is underway, one driven not by the AI models themselves but, by the context they consume. Every document ingested, every customer interaction logged, every agentic workflow executed: each carries a chain of token consumption,
Nov 17, 202519 min read
THE HYPE: AI Cost Management Is the New Line on Your P&L
The number your P&L is missing. Why the AI cost conversation is being held in the wrong place, why the cheapest model carries the most expensive risk, and the single figure that decides who keeps their margin.
Jun 1014 min read
Agentic AI Consulting: Why Discovery Is the Work, Not the Phase Before It
The real picture of any organisation doesn't live in the boardroom or executive office. It lives with the people doing the work. Senior voices tell you the version they've constructed, which is often coherent, often optimistic, and almost always incomplete. The answers you need are distributed across the whole building. And the standard discovery process isn't designed to reach them.
Apr 208 min read
AI Adoption Strategy: Why the AI Pilot Phase Is Officially Over
The question every leader needs to be sitting with this morning is not whether to adopt AI. That debate is cooked and done. The question is now whether you are building your business on top of the new infrastructure, or whether you are still managing the old one while it quietly becomes obsolete beneath you.
Mar 39 min read
The Truth About the AI Bubble: An AI Strategy Playbook for Leaders
Are we in an AI bubble? Evidence in 2025 points to a large investment boom with visible froth, but not yet a confirmed bubble. The pattern mirrors past infrastructure overbuilds such as the railways and fibre optics, where capacity arrived before demand, valuations overshot reality, and corrections followed. Those corrections were painful but productive, leaving behind assets that enabled long-term growth.
Oct 6, 20258 min read
How SME Leaders Master AI Risk Management: The 5-Pillar Framework
The risk landscape has shifted from vague caution to specific failure modes. Privacy breaches through shadow AI tools. Unreliable outputs in customer workflows. Vendor lock-in and regulatory surprises. The dangerous element isn't any single risk, it's their unmanaged combination creating a perfect storm of business disruption, reputational damage and bottom line erosion.
Aug 15, 20256 min read
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