Behavioural AI Personalisation

Artificial intelligence is transforming personalisation from a relatively simple exercise in customer segmentation into a sophisticated capability for predicting, adapting to, and potentially influencing individual behaviour.
Behavioural AI Personalisation: Theory, Practice, and Responsible Deployment provides a comprehensive examination of this transformation. Bringing together artificial intelligence, behavioural economics, cognitive psychology, customer analytics, and choice architecture, the book explains how behavioural AI systems can convert data into insight, prediction, personalisation, and action.
Across seventeen chapters, readers progress from the theoretical foundations of behavioural AI to its practical implementation. The book examines customer behaviour and data, recommendation architectures, predictive customer analytics, behavioural targeting, personalisation strategy, digital nudging, conversational AI, and omnichannel personalisation. It then addresses the critical questions surrounding ethical influence, privacy, regulation, industry applications, and the measurement of behavioural AI.
A distinctive feature of the book is its treatment of responsibility as an integral part of AI personalisation rather than an afterthought. Commercial effectiveness is considered alongside autonomy, transparency, fairness, privacy, consumer welfare, governance, and trust.
With international examples and particular attention to emerging-economy contexts, the book is designed for postgraduate students, academics, managers, strategists, analysts, product professionals, and practitioners seeking to understand both the opportunities and responsibilities created by AI-driven personalisation.
The result is an integrated framework for understanding behavioural AI not simply as a technology, but as a managerial and organisational capability requiring the coordinated application of data, behavioural insight, artificial intelligence, strategy, ethics, governance, and measurement.