Amplified Learning: Designing AI Powered Elearning for Global Business
Corporate learning has spent a decade confusing distribution with development: sending the same polished course to everyone, then reporting completion as if it were capability. Generative AI now threatens to accelerate that mistake, flooding academies with synthetic content that changes nothing. Amplified Learning offers the alternative, a complete, human-centred method for using intelligent tools to increase what people can actually do at work.
Written by a practitioner who has built academies and led digital learning across teaching, iGaming and fast-moving consumer goods, this is not a celebration of AI. It is a disciplined framework that begins with a real performance problem and uses the minimum sufficient intelligence to solve it.
Inside you will find:
The Amplified Learning Capability Loop: a seven-step method (Sense, Frame, Map, Prototype, Validate, Release, Learn) that replaces the closed course project with continuous capability.
50 chapters across five parts: foundations, applied learning design, implementation, ten industry case studies, and the evidence base behind it all.
Ten real-world industry case studies: FMCG, iGaming, manufacturing, healthcare, banking, retail, SaaS, logistics, higher education and public services.
14 frameworks and 8 ready-to-use templates: performance briefs, agent cards, scenario canvases, evidence maps, a pilot scorecard and more.
A field guide, a facilitator's guide and a full toolkitto put the method to work with your team straight away.You will learn how to design AI tutors that are grounded and trustworthy, build scenarios that teach judgement, govern learning agents responsibly, measure what actually matters, roll out globally without flattening local culture, and recognise the ways AI-supported learning fails so you can stop them early.
Amplified Learning is for learning leaders, instructional designers, eLearning developers, L&D and academy teams, and the business managers who depend on them.
One standard runs through every page: automate the mechanical, amplify the valuable, and protect the human. The defining question is never "How intelligent is the system?" but "What have people become able to do, and were they treated with dignity while developing that capability?"
If you are responsible for making workplace learning work in the age of AI, start here.
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