Insights
Metrics for AI projects - what your team feels versus what the board wants to see
Your team can feel the time an AI tool saves, while your board needs to see where that time actually went. Here’s what to measure, and what an invoice pipeline taught me about the difference.
Introducing Deliberate AI: The Method That Gets Enterprise AI into Production
Taking inspiration from The Phoenix Project, we tell the story of Marchmont Group, a fictional enterprise with a hundred and forty-two AI use cases and nothing in production, and introduce Deliberate AI, the methodology we built to close the enterprise AI success gap.
From disparate spreadsheets to a secure, scalable AI platform in 4 months
Principal Consultant, Josh, walks us through how the WeBuild-AI team built and shipped a scalable AI platform in 4 months that generates regulator-ready documents in under 90 minutes.
Your Customer's Next Buyer is an Agent
For as long as retailers have sold online, the visitor on the other side of the screen has been a person. Someone to be attracted, reassured, nudged and, with luck, converted.
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.
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.
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.
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.
