Insights
Why most AI strategies fail before they scale
Mark Simpson, Co-Founder of WeBuild-AI, writes for EnterpriseTalk on why AI tools spread while adoption stalls, and why outdated workflows and change management, not a skills gap alone, block AI strategies from scaling.
Why will out-of-the-box AI fail in energy and utility operations?
Mark Simpson, Co-Founder of WeBuild-AI, writes for Energy Sustainability Solutions on why energy and utility AI programmes stall in pilot, and why generic models fail without connected operational data, domain context, and governance on critical infrastructure.
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.
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.
Banking doesn't need more AI pilots, it needs the confidence to scale them
Ben Saunders, Co-Founder of WeBuild-AI, writes for Financial IT on why banks run plenty of AI pilots but struggle to move them into production, and what governance, observability, and operating-model clarity require before scaling in regulated environments.
Delivering on AI's promise is impossible without operational alignment
Mark Simpson, Co-Founder of WeBuild-AI, writes for NODE Magazine on why UK enterprises stall in pilot purgatory, and what operational alignment, data foundations, and governance require before AI reaches production.
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.
From Three Weeks to Five Minutes: What Production AI Actually Looks Like in Private Equity
Discover three core AI use cases for private equity and venture capital firms and what it took to build them - automated competitor analysis, company research and LPA knowledge retrieval.
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.
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.
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.
