Insights
Open Source Models Are the Pathway to Sovereign AI
In this post we explore why open source models have crossed the threshold for everyday enterprise use, why Anthropic's decision to open source its Agent Skills framework is a bigger deal than it might first appear, and why the organisations best placed to move quickly with AI are those thinking carefully about where their data lives and which model is appropriate for which task.
Agentic Commerce Comes of Age: What It Is and Why it Matters
For the better part of three decades, the governing metaphor of digital commerce has been the shopfront. A business builds a website, draws visitors to it through search and advertising, and does what it can to convert their attention into a purchase once they arrive.
The CapEx Versus OpEx Reckoning for Enterprise AI
At an executive partner dinner a little while ago, the conversation drifted, as these conversations invariably now do, towards the question of what everyone is really spending on artificial intelligence. One of the firms around the table offered a figure that gave the rest of us pause.
WeBuild-AI's Response to the Ofgem AI Technical Sandbox Consultation
In January 2026, Ofgem published its consultation on a proposed AI Technical Sandbox - a structured, regulatory-led environment where energy sector participants can test and trial AI solutions under oversight. We responded in March 2026.
AI Sovereignty is Not a Place, It Is a Control Plane
Ask most boards what AI sovereignty means and you will get one of two answers. Either it is a UK region on a hyperscaler, or it is a box in a private data centre. Both answers share the same flaw: they treat sovereignty as a place. Pick the right location, the thinking goes, and the problem is solved.
AI Centres of Excellence: The Engine Room of Enterprise AI Adoption
The question isn’t whether you need an AI Centre of Excellence. The question is how to build one that enables rather than obstructs, that governs without strangling innovation, whilst creating genuine enterprise value.
The 10 Governance Domains Every Enterprise Must Address Before Deploying AI
Most enterprises are deploying AI faster than they can govern it and regulators are taking notice. This article introduces 10 governance domains that form a practical framework for enterprise AI deployment, covering data protection, sovereignty, regulatory compliance, security, content safety and more, backed by peer-reviewed data and with additional guidance aligned to the EU AI Act and UK regulatory landscape.
Data and AI Governance Across 10 Domains: A Technical Framework for UK and European Enterprises
Download WeBuild-AI's technical whitepaper covering the 10 governance domains every enterprise must address before deploying AI, aligned to the EU AI Act and UK regulatory landscape.
Why Context Graphs Will Define AI Success in Regulated Industries
Highly-regulated industries require data relationships, provenance and context, provided through context graphs that supplement RAG, vector databases and MCP.
How to build AI governance that enables delivery instead of blocking it
Build collaborative and flexible AI governance frameworks that enable rapid innovation, production and delivery, and ensure your AI plans are on-time, on-budget and compliant in 2026.
Why your SDLC is slowing down AI delivery (and what to do about it)
Four changes that will adapt your SDLC to enable AI delivery, reduce bottlenecks and increase experimentation
Three build vs buy mistakes that derail AI roadmaps (and how to avoid them)
We often see enterprise businesses fail at executing their AI roadmap on time and on budget thanks to these three (unfortunately very common) mistakes. Read on to learn what they are, and how to avoid them in 2026.
Aligning Spec-Driven Development and Context Engineering For 2026
Are spec-driven development (SDD) and context engineering competing, or complementary - and how do we see that partnership working for 2026?
The SDLC in the Age of Agents: When Everything Happens at Once
How has the software development lifecycle changed in the age of AI agents? Read on to find out
How to Capture, Scale and Deploy Human Expertise with AI Agents
AI augments human skills - but in reality, we’re in an age of huge skills gaps and societal hiring difficulties. How do you use AI to optimise the time of your most valuable, skilled employees? Read on.
