Insights
Why businesses need an AI kill switch strategy, not a single off button
A single off switch is an impractical response to AI risk when AI is spread across customer channels, internal tools, data pipelines and agents. In an exclusive Q&A with Digitalisation World, Ben Saunders explains how layered, proportionate controls over access, models, data and fallback processes keep businesses in control when AI systems fail or change.
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.
Why aligning tech to real world operations will unlock AI's potential
Mark Simpson, Co-Founder of WeBuild-AI, writes for The AI Journal on uneven UK AI adoption, why investment alone does not create business value, and what operational alignment, data foundations, and governance require before AI scales.
The AI readiness gap that's holding businesses back
Mark Simpson, Co-Founder of WeBuild-AI, writes for MSP Channel Insights on why firms adopt AI faster than they can operationalise it, and why governance, data foundations, and change management matter more than training alone.
The AI readiness gap that's holding businesses back
Mark Simpson, Co-Founder of WeBuild-AI, writes for Digitalisation World on why firms invest in AI before governance, data foundations, and operating models are in place, and why upskilling alone does not close the readiness 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.
The DBIST has business, innovation, science and trade… but where's the technology?
Ben Saunders, Co-Founder of WeBuild-AI, contributes to a TechRound roundup on the UK's DSIT-to-DBIST reorganisation, the new Cabinet-level AI Minister role, and what a federated government AI model requires to avoid siloed systems and duplicated capability.
Why connecting tech to operational reality will help businesses deliver on AI's promise
Mark Simpson, Co-Founder of WeBuild-AI, writes for TechRadar Pro on why UK businesses stall in the sandbox, and what operational alignment, data foundations, and governance require before AI moves from pilot to production.
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.
