Behaviour, Design and Responsibility
AI conversations are no longer experimental. They are operational — embedded in contact centres, agent workflows, and autonomous decision-making. They speak on behalf of organisations. They fail in predictable ways. And most of those failures are not caused by weak models. They are caused by design decisions made without a clear understanding of how AI systems actually behave.
Most conversational AI fails the same way. It sounds confident while being wrong. It rushes to resolution before the customer feels heard. It escalates too late, or not at all. It optimises for metrics while quietly eroding trust.
These are not model failures. They are design failures. The model does exactly what it was shaped to do. The problem is what it was shaped to do.
This book is about those decisions — the ones made before deployment, during system design, and in the governance gaps most organisations never close. It is not a chatbot handbook. It is not a prompt-writing guide. It is a framework for people who are responsible for what happens when AI systems operate at scale, under uncertainty, with real consequences.
It draws on real contact centre environments, large-scale deployments, and hands-on design practice across customer-facing AI, Agent Assist, and emerging autonomous systems.
You do not need to be new to AI. The book assumes you are already working with conversational systems, or preparing to deploy them at scale.
