AI-Driven Finance: Designing, Building, Evaluating, Governing, and Deploying Intelligent Financial Agent Systems

By Jessi Comans and Haydee Andrzejewski

Build Smarter Financial AI With Control, Evidence, and Purpose
Artificial intelligence is moving beyond chatbots and prediction. Modern AI agents can retrieve information, use software tools, coordinate multi-step tasks, analyze complex financial data, and support decisions across the financial enterprise.
Financial Agents provides a practical and structured introduction to designing these systems for real-world financial environments.

The book explains how large language models, retrieval systems, tools, memory, reasoning, planning, and multi-agent architectures can be combined into useful financial workflows. It then examines applications across financial research, investment analysis, trading, risk management, credit, fraud detection, compliance, banking operations, wealth management, treasury, payments, and insurance.
Just as importantly, the book addresses the challenges that accompany greater AI capability. Readers will explore evaluation, security, data quality, governance, model risk, human oversight, regulatory considerations, monitoring, and enterprise deployment.

Rather than treating autonomy as the ultimate objective, this book focuses on a more practical question:
How can AI agents perform meaningful financial work while remaining reliable, explainable, secure, and appropriately controlled?

Inside the Book
- Foundations of AI agents and large language models for finance
- Financial data, context engineering, and retrieval-augmented generation
- Agent architecture, tools, APIs, memory, reasoning, and planning
- Multi-agent systems and interoperable agent workflows
- Investment research, portfolio support, trading, and market intelligence
- Credit, fraud, AML, KYC, compliance, and financial risk
- Banking operations, wealth management, treasury, payments, and insurance
- Security, evaluation, backtesting, and point-in-time integrity
- Governance, model risk, responsible AI, and regulatory considerations
- Production deployment, monitoring, economics, and enterprise architecture
- Emerging multimodal and autonomous financial systems

Written for finance professionals, students, technology practitioners, researchers, and business leaders, Financial Agents connects AI engineering with the practical realities of financial institutions.
The central lesson is straightforward: the most valuable financial AI agent is not necessarily the one with the most autonomy, but the one that delivers useful work reliably within clearly defined authority and effective governance.

• Format: Paperback
• Language: English
• ISBN: B0HM6WZBKP
• ISBN13: 9798160701721
• Release Date: October 2026
• Publisher: Independently Published
• Length: 544 Pages
• Weight: 2.74 lbs.
• Dimensions: 1.1" x 8.5" x 11.0"