AI Revenue Architecture · The Executive's Guide

Most AI programmes do not fail in the model. They fail in the order they were built.

Foundation, Intelligence, Execution, Optimisation — four layers with one sequence. Watch the series, then find your weakest layer with the three-minute diagnostic.

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Video 1 · The Framework

The Four-Layer Architecture

Building the top layer first is the usual reason AI programmes plateau. This video walks through the four layers, why their sequence matters, and the organisational pressure that pushes teams to skip ahead.

AI strategyData governanceExecutive leadership
Video 2 · The Worked Example

The Foundation Problem, Measured

A $40M ARR software company had 28% duplicate account records — and a pipeline that was $3.2M too big. After deduplication, forecast accuracy moved from 67% to 84%. The figures are the author's reported results from the book's worked example.

Data qualityRevenue operationsForecasting
28%duplicate account records found
$3.2Mpipeline inflation removed
67% → 84%forecast accuracy after deduplication Author's reported figures from the book's worked example. Not audited results.
Video 5 · The Roadmap

The 90-Day Roadmap

Ninety days to a working version of all four layers — built in sequence, each layer gated on the one below it. And what you do in months four through eighteen decides whether it becomes a system or a snapshot.

AI roadmapImplementationProgramme management

Check which layer is weakest in your programme

The three-minute diagnostic shows where to start — before budget and timeline get committed in the wrong order.

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