These are introduced, with a summary of each, on the Guides page.
Readiness is not a maturity score; it is a set of specific conditions that decide whether an AI programme delivers in the first quarter or stalls in the second. Twelve questions a leadership team can answer in an hour.
For every AI use case there are four honest answers, and the right one depends on whose knowledge it runs on, whether the workflow is standard, and whether the market will solve it first. A framework that fits on one page.
The gap between a working pilot and a running system is where most AI spend disappears. Five reasons it happens and the scoping decisions that prevent it.
The three enterprise assistants differ in where they live, how they handle documents and code, their data terms and their cost. How to choose on your own evidence rather than on a vendor's demo, and why many businesses run two.
The mechanism that makes an AI agent safe to put in front of customers: how confidence is scored, where the threshold goes, what gets handed to a person, and how the evaluation set keeps it honest.
How UK AI consultancy is priced, what the common engagements actually contain, and how to read a quote so you compare scope rather than rates.
A long-form guide: who is in scope, the four risk categories with examples, every date that matters, the AI literacy duty already in force, what each category requires, the UK position, and a twelve-step plan a business can run without a compliance programme.
A simple layered view of AI opportunities by time to deploy, why it stops programmes stalling, and how to use it alongside priority scoring.