If you have read a newspaper, a LinkedIn post, or an opinion piece in the last few months, you could be forgiven for thinking AI adoption is slowing down under the weight of its own hype. Headlines keep reporting "backlash," "resistance," and "AI fatigue" as though enthusiasm is fading fast. The data tells a more nuanced story, and the more interesting question is not whether people like AI, but why some of them are holding back. The usual arguments against AI adoption Ask

Picture this. Someone in leadership turns to the IT person and says, "Right, what's our AI strategy then?" And the IT person, bless them, reaches for the classic consultant line: "Well, first we need to look at the business's pain points." Noble instinct. Wrong starting point. Here's the uncomfortable truth: the IT person does not know the business's pain points, not really. They know the system outages, the clunky integrations, the ticket backlog. They do not know that the

Picture the scene. A client marches into their solicitor's office clutching twelve pages of "research" their chatbot produced at 2am, complete with three case citations that do not exist and a legal theory that would make a first year paralegal wince. The lawyer now has to read it, fact check it, gently explain why Article 47(b) is not real, and then do the actual legal work anyway. Welcome to the new billable hour: AI Homework Marking. The post that started it On a small b

Every business meeting makes noise. Record it and hand it to AI, and that noise turns into insight, a lighter note taking load, and maybe even a gentle nudge to stop saying "like" quite so much. The real cost of business meetings Knowledge workers sit through 15 to 31 meetings a week, and 71% of senior leaders admit most of them go nowhere. Nationally that works out at roughly 399 billion US dollars a year, about 24 billion lost person hours, and around 25,000 US dollars pe

Construction has never suffered from a shortage of information, if anything it suffers from the opposite. Every project generates a mountain of drawings, RFIs, site reports, emails, meeting minutes, change requests, programmes and compliance records. The challenge isn't creating documentation anymore. It's finding the right piece of information before it becomes tomorrow's problem. That's why most of the exciting headlines about AI miss the point. Construction doesn't nee

Q4 is here and it’s changing conversations (if it’s not, well it should be) Often experiments become business cases and the ideas that follow become budgets. Then the questions shifts from “what could AI Do?” to “What are we actually going to invest in?”. According to Deloitte’s 2026 financial trends research, 23% of finance leaders prioritising AI and advanced technology for FY2027. Meanwhile, 54% are involved in enterprise AI and technology, capital allocation, while

Most bid teams treat the RFP response as a paperwork exercise: assemble the boilerplate, answer every question, hit send. But evaluators don't read that way, and neither does revenue. Procurement research on how evaluators actually work shows a consistent pattern: reviewers sort proposals into a "keep reading" pile or a "reject" pile within the first pages, often the executive summary alone. Busy evaluators read only as much as they need to make that call. If your opening p

Scroll LinkedIn and you'll find plenty of neat four-step diagrams: Idea. Prototype. Integrate. Deploy They look great, it's easy to look at, digest and believe however, just aren't how AI transformation actually happens. What actually stands between an idea and something in production isn't a step. It's four much harder, much less photogenic things. None of them fit neatly into a box, and none of them are optional. The part most AI projects skip Most AI projects start with a

A new era of consultancy has arrived, powered by AI. On our latest engagement, the best design document we produced was never typed, it was spoken. We have just delivered a proof of value for a client operating in a complex, regulated construction environment: an agent that automates the monthly financial review of a major capital programme. Hundreds of live projects, a manual review taking days, and the projects that genuinely needed attention buried deep in spreadsheets. H