What's Inside
Ten chapters
The Old Playbook: Rule-Based Marketing Automation
Where if-then logic genuinely excels — and why a bank maintaining thousands of overlapping rules turns rule sprawl into a full-time job.
The Rise of Machine Learning in Financial Marketing
From segments to signals, and the personalization paradox: knowing not just what is relevant, but what is appropriate, and when.
The Intelligence Stack
NLP, document intelligence, and real-time decision engines — including contextual suppression that pauses promotion during customer distress.
Agentic AI: The Next Frontier
A five-level autonomy spectrum from manual to agentic, with early use cases in wealth, insurance renewals and competitive rate response.
Compliance, Trust & the Governance Imperative
Constrained action spaces, real-time content screening, human-in-the-loop escalation, explainability, and bias auditing.
Data Infrastructure for AI-Powered Marketing
The Model Ops layer: version control, drift monitoring, A/B testing, feature stores, and the feedback loops that keep models current.
The Human-AI Partnership
The five skills that become critical as the old ones automate — and why change management, not technology, is the real barrier.
Measuring What Matters
A four-quadrant framework spanning commercial performance, CX quality, portfolio health and responsible marketing — plus the attribution problem agentic systems create.
Implementation Roadmap
Four phases from foundation through intelligence and orchestration to expanding autonomous action spaces.
Looking Ahead: The Next Five Years
Multimodal engagement, AI agents with financial authority, and federated learning that trains models without centralising customer data.
"A model that maximizes short-term conversion rates may do so by targeting the most financially vulnerable customers with aggressive offers — delivering campaign metrics while destroying long-term relationships and inviting regulatory scrutiny."
Chapter 8 — the optimization riskWhat You'll Take Away
Five things you can act on
A five-level autonomy spectrum you can place your own organisation on honestly
Five governance controls that let an agentic system act without acting out of bounds
A balanced measurement framework that catches optimisation against the wrong metric
Why causal inference replaces last-touch attribution once agents orchestrate journeys
The Model Ops capabilities that have to exist before autonomy is safe to expand
Who It's For
Written for three audiences in particular