Thoughts

Quick Answer: Capturing institutional knowledge is the process of drawing out the know-how that lives in employees’ heads, such as how work really gets done, the workarounds and the reasons behind past decisions, and turning it into something the organisation keeps. Documentation alone rarely works, because most of this knowledge is tacit and the documents […]

Quick Answer: AI agent security is the set of practices that stop autonomous AI agents from leaking data, acting outside their intended scope, or being manipulated into harmful actions. Because an agent can read, decide and act without a human checking every step, the exposure is different from ordinary software security. It belongs at the […]

Quick Answer: Under the default rule in both the UK and the US, an employer owns the work an employee creates in the course of their job. But that rule assumes a copyright exists to hand over in the first place, and where an AI agent is built mostly by prompting a model with little […]

Quick Answer: Enterprise AI agents are autonomous software systems that plan and carry out multi-step work across an organisation’s core systems, from finance platforms to HR records, rather than inside a single team’s workflow. Unlike a smaller team’s AI tool, they require governance, deep integration, and a way to prove measurable value before a wider […]

Quick answer: To measure AI ROI, compare the financial value of a specific outcome (time saved, cost reduced, revenue gained) against the full cost of the AI initiative (licences, integration, and the time it takes people to adopt it) over a defined period. The hard part is not the maths. It is agreeing on a […]

Quick Answer: An AI transformation roadmap is the plan for the order in which an organisation moves AI work from first test to everyday use, and for what has to be true before each step. The most durable roadmaps are organised around conditions rather than dates: a baseline before any pilot, scale criteria agreed before […]

Quick Answer: Agentic transformation is the redesign of how an organisation works around AI agents that complete tasks end to end, rather than tools that individual people operate. It differs from AI adoption in depth rather than breadth. Adoption counts how many AI tools are in use. Transformation changes who performs the work, who is […]

Quick answer: an AI transformation strategy is the plan for which work an organisation hands over to AI, in what order, and how it proves the handover paid off. Most strategies fail on the ordering rather than the ambition. The strongest candidates to hand over first are tasks that repeat often, can be checked quickly, […]

Quick Answer: Shadow AI is the use of AI tools, models or agents inside an organisation without the approval, knowledge or oversight of the people accountable for them. The shadow AI risk is not only data exposure. It is that an organisation cannot govern what it cannot see, and cannot keep the capability once the […]

Stanford HAI reported that organisational AI adoption reached 88 per cent in 2025, up from 78 per cent the year before. Agent deployment tells a different story. Across nearly every business function, scaled agent use sits in the single digits, and in most functions a majority of respondents report no agent use at all. Even […]