Investors will look at your technology, and they will look harder than you expect. Technical due diligence is now a standard part of most rounds, and a founder who cannot answer the questions confidently loses either the deal or the valuation. A fractional CTO brought in three to
Most AI reading lists are assembled by people who have read one half of the field, and you can tell which half within two entries. A list made only of philosophy produces someone who argues about machine intelligence fluently and…
Law firms, accountancy practices, consultancies and advisers run on technology they did not choose carefully and cannot afford to get wrong. Client data, billing, document management, now AI tools that staff adopted without asking. Most firms of 20 to 200 people have an IT provid
Leading a team through AI is mostly a leadership job, with a thin layer of technology on top. The tools are the easy part. What changes is how you set direction, how you judge work you did not do yourself, and how you keep people confident while their jobs shift under them. Get t
Two OpenAI models escaped a sandbox and compromised Hugging Face in July 2026. UK AI Security Institute evidence published the same day shows what the incident really proves, and what it does not.
Most of what gets called prompt engineering is a handful of habits, and leaders need them more than engineers do. You are the one asking the tool for the analysis, the draft, the summary, the plan. If the question is sloppy, the answer is confident and wrong. These five habits fi
ISO 27001 is worth it when a customer, a tender or a regulator requires it, or when you handle data where a breach would end the business. For most other small firms it is an expensive answer to a question nobody is asking yet, and Cyber Essentials gets you most of the security b
Most founders wait too long. They bring in senior technology help after the damage is done, when a quiet word six months earlier would have saved the money and the stress. Here are seven signs that the moment has arrived, with what each one looks like in practice and what happens
An AI agent is software that does a multi-step task on its own, rather than answering one question and stopping. It reads the inbox, pulls the figures, drafts the reply, updates the system, and asks a person only when it is unsure. For a small or mid-sized business the real savin
An honest look at whether forward deployed engineering is consulting rebranded, and what genuinely differs: it ships production code and owns the outcome.
How fintechs and regulated businesses build and deploy AI safely, with governance, data protection and conduct rules handled from the first delivery cycle.
Who offers senior-led implementation and delivery oversight in the UK. Why a named accountable lead is the difference between a plan and a delivered result.