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.
The missing foundations holding back AI in energy and utilities
AI adoption is accelerating across energy and utilities, yet many initiatives never progress beyond experimentation. Writing in Energy Manager Magazine, Mark Simpson explains why proprietary data, targeted use cases and explainable governance matter more than model capability when it comes to scaling AI in critical infrastructure.
The reality of sovereign AI: How to avoid dependency without building everything yourself
Ben Saunders, Co-Founder of WeBuild-AI, writes for Silicon Valleys Journal on why sovereign AI is about control and optionality, not building every model in-house, and how a multi-model control plane reduces vendor lock-in.
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Mark Simpson, Co-Founder of WeBuild-AI, writes for EnterpriseTalk on why AI tools spread while adoption stalls, and why outdated workflows and change management, not a skills gap alone, block AI strategies from scaling.
The real barrier to AI in financial services isn't regulation but trust
Ben Saunders, Co-Founder of WeBuild-AI, writes for The European Financial Review on why most financial services firms use AI in some form yet struggle to reach production, and why organisational confidence and accountability matter more than regulation alone.
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 the future of AI in banking depends on trust, not trials
Ben Saunders, Co-Founder of WeBuild-AI, contributes to The Fintech Times on why banks stall after proof of concept, and why scaling AI in banking is an operating-model and trust problem, not only a regulatory one.
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.
The confidence gap holding back AI in financial services
Ben Saunders, Co-Founder of WeBuild-AI, writes for Finance Derivative on why financial institutions struggle to turn AI pilots into measurable outcomes, and why internal confidence, governance, and stakeholder alignment matter as much as compliance.
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.
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.
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.
