AI for Financial Services
A risk-aware operating guide for using AI in banking, insurance, wealth, and finance teams without weakening controls, auditability, or customer trust.
EUR 149
Price
Online
Format
220 pages
Pages
Control-first use case map
Audit-ready workflow design
Regulated AI roadmap
Who It Is For
Built for people making business decisions.
CFOs, banking leaders, insurers, wealth managers, risk teams, compliance owners, and financial operators evaluating AI under regulatory scrutiny
Use the book as an operating manual for planning AI automation, selecting the right workflows, governing risk, measuring ROI, and moving from isolated pilots to a managed automation portfolio.
Business Outcomes
Map high-value AI use cases by risk class
Automate financial workflows while preserving human accountability
Build an AI roadmap that compliance, risk, and leadership can approve
Reader Signal
Built for operators who need more than AI hype.
The book is positioned for executives and implementation teams who need a practical path from pilot activity to managed automation capability.
"
The useful part is the operating model. It does not sell AI as a tool purchase; it shows how to make ownership, governance, and ROI clear enough for leadership to act.
COO, mid-market services firm
"
The value map and stage-gate model make the book practical. It gives teams a way to decide what should be automated first and what should be killed before it wastes budget.
Transformation lead, B2B operations
"
This reads like a field manual for executives. The strongest sections are governance, operations, and measurement because they address what usually breaks after the demo.
CIO advisor, enterprise AI programs
Inside the Website Reader
Chapter preview.
Why Financial AI Is a Control Problem
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
The Financial Services AI Value Map
Turns abstract AI ambition into a practical map of workflows, outcomes, risks, and measurable business value.
Client Reporting and Advisor Intelligence
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
Fraud, Anomaly, and Transaction Monitoring
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
Credit Decision Support Boundaries
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
Claims, Underwriting, and Insurance Operations
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
Finance Close, Forecasting, and Board Packs
Focuses on close, forecasting, reporting, reconciliation, and the finance workflows where accuracy and controls matter.
Risk, Compliance, and Evidence Trails
Defines the controls, review points, ownership, and evidence needed to use AI without creating unmanaged exposure.
Human Review and Model Governance
Defines the controls, review points, ownership, and evidence needed to use AI without creating unmanaged exposure.
Vendor, Data, and Security Controls
Helps decide when to buy, build, partner, or combine tools without becoming dependent on the wrong platform.
The 90-Day Regulated AI Pilot
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
Building a Financial AI Control Plane
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
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