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.
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.
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.
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.
Three AI Workflows Every PE Due Diligence Team Should See
Discover which three AI workflows can have the most transformational value for PE due diligence teams, based on our industry experience with real customers and in-house AI expertise.
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.
5 Transformational AI Use Cases for Private Equity
This blog explores the 5 biggest transformational AI use cases for private equity - portfolio data unification, market intelligence infrastructure, due diligence automation, relationship-based deal management and automated LP reporting and communications platform.
How to Overcome the Four Biggest Barriers to PE AI in Production
The four biggest challenges in AI solution deployment can hinder transformation projects to the point where nothing at all is deployed. How can you overcome these? Read the full blog to find out.
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.
5 High-Impact AI Use Cases for Private Equity
This blog explores the 5 highest impact AI use cases for private equity across the deal management lifecycle. Read on for a breakdown of each use case and why it’s high impact.
4 Key Considerations to Build Trusted AI Systems
Find out how to build, deploy and use AI successfully in enterprise with these four major considerations.
How to scale AI delivery when you can't hire fast enough
Your AI roadmap in 2026 probably hinges on your hiring requirements - how can your operating model assist in the interim? Read on to find out.
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.
The three infrastructure decisions that determine AI delivery speed in 2026
A step-by-step guide of three infrastructure decisions to speed up your AI delivery
