Insights
From disparate spreadsheets to a secure, scalable AI platform in 6 months
Principal Consultant, Josh, walks us through how the WeBuild-AI team built and shipped a scalable AI platform in 6 months that generates regulator-ready documents in under 90 minutes.
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.
A Primer on Generative Engine Optimisation
In an earlier companion piece we shared that agentic commerce has arrived, that buyers and their agents are increasingly beginning their journeys inside AI assistants, and that the answer an assistant returns is becoming the new shelf.
AI Agents and Use Cases in Energy Whitepaper
Download WeBuild-AI's whitepaper on AI agents in the energy and electricity sector - types of AI agents, where they are applicable across the grid, how they work, what’s available now and what’s coming soon.
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.
How Agentic Analytics Is Replacing the Enterprise BI Stack
MIT research shows that 95% of organisations see zero return on their AI investment and AI is about to stress-test every weakness in your data foundation. Read on for how to build an AI-ready data foundation.
Building the Foundations for a Successful AI Operating Model
How to build an AI operating model that actually delivers: focus investment on two or three high-value workflows, centralise orchestration, establish governance before scaling, design for human-AI collaboration, and plan the talent bridge between internal teams and external partners.
How Executives Can Build AI Initiatives That Succeed
Executives need to overcome multiple obstacles, from managing expectations, to training, to identifying use cases across the business, in order to successfully implement AI. Here’s how to build AI initiatives that succeed.
Using AI to Reimagine the Deal Lifecycle in Private Equity & Venture Capital
A Practical Framework for Modern PE Firms. Artificial intelligence is on the forefront of disrupting every industry globally, and private equity and venture capital is no exception.
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.
