Part II opens here. CI-RM is not a platform you buy or a new analytics department – it’s a strategic business process.
In the old model, marketing pushes offers driven by internal calendars and sales targets. In the new one, communication starts with the customer’s context, reacts to real signals, remembers past interactions, and keeps learning. The shift is from sending to serving.
Trust is the throughline. CI-RM isn’t about knowing everything about a customer – it’s about knowing what’s needed to create value, make life easier, and improve safety. That’s why the chapter sets ethical boundaries, explains explainability, and introduces the idea of Return on Consent: when customers share data and permissions, the bank owes them real value in return.
It also shows how to discover needs at scale by combining the Voice of Customer and the Voice of Data – explicit needs, hidden needs, behavioral signals, and declarative and external data – into a richer Customer DNA, kept current by a real-time profile that captures the here and now. AI turns that insight into decisions; real-time event architecture makes those decisions relevant in the moment.
