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Structured perspectives on AI readiness, architecture, governance and platform economics — published for enterprise leaders and technical decision-makers.

AI Strategy 25 February 2026

What Mythos Is, Why It Has Pulled Two Governments Into the Room, and What to Do About It in the Next 180 Days

A reference piece for boards, audit committees and C-suites. Synthesised from Anthropic's own disclosures, AISI's UK government evaluation, Mozilla's Firefox 150 release, Palo Alto Networks's frontier-AI defence reports, METR's time-horizon benchmark, the Sullivan and Cromwell legal memo on the US Treasury and Federal Reserve convening, and the conversations we have been having with regulated firms over the last fortnight.

15 min read Read →
What Mythos Is, Why It Has Pulled Two Governments Into the Room, and What to Do About It in the Next 180 Days
Architecture5 May 2026

Shadow Agents Are an Architecture Problem

You are not building for the agents you have today. You are building for the agents you will have in two years. The numbers are not on your side.

17 min readRead →
Security28 Apr 2026

Mythos Finds Where the Bodies Are Buried

Every shortcut, every deferred fix, every "we'll get to it later". Mythos finds them all. The only question is what it costs when it does.

21 min readRead →
Architecture25 Feb 2026

Your AI Strategy Has No Foundation

If standards, guardrails, and compliance requirements are defined up front, the work downstream becomes dramatically easier. Engineering teams receive not just code, but a blueprint. The handover stops being a translation exercise and starts being an implementation one.

4 min readRead →
AI Strategy15 Mar 2025

The AI Cost Structure Reset: Why Most Enterprise AI Budgets Are Misallocated

Enterprises allocate 70% of AI budgets to model development and tooling, but 80% of project failures trace back to data infrastructure. Inverting this ratio is the single highest-leverage change an enterprise can make.

2 min readRead →
Data Platforms15 Feb 2025

Cost Efficiency vs Hyperscale: Rethinking Enterprise Data Infrastructure

Hyperscaler data warehousing is powerful but expensive. For most enterprise workloads, European sovereign alternatives deliver equivalent capability at a fraction of the cost.

5 min readRead →
AI Readiness1 Feb 2025

AI Readiness Benchmarking: Where Does Your Organisation Stand?

Before investing in AI, understand your starting point. A structured assessment prevents costly false starts and ensures investment lands where it matters most.

4 min readRead →
Data Strategy15 Jan 2025

Why Data Fragmentation Is the Real Barrier to AI

Most organisations do not fail at AI because of models. They fail because their data is fragmented, siloed, and inconsistent.

5 min readRead →