Nearly three quarters of organisations already use generative AI. Over eighty percent report no measurable impact on profit. That gap is the whole problem, and it is not a tools problem.

57 pages on closing it. Not a theory course and not a prompt library: a working method you run against your own marketing, in the order the work actually happens.

Inside: what the adoption data really says, and three widely repeated claims it does not support. An honest boundary covering what AI does well, what it does badly, and what it must never decide alone. Twenty places to start, ranked by return against effort. The four foundations everything else depends on, from reachable data to a brand voice written as rules rather than adjectives. Research routines that compound month over month. Creative production with a check that catches generic drift before it publishes. Four automations worth building, the platform choice behind them, and where a human stays in the loop.

Six worksheets you complete against your own business, not a case study. Two diagrams. A sources page listing every figure quoted and what it actually measures, so you can check them yourself.

Written for marketers who have tried the tools, got some value, and cannot work out why it has never added up to anything structural.

Print-ready A4 PDF.