Building AI Agents for Finance — Coming July 2026

We’re excited to announce Building AI Agents for Finance: Design & Deploy Financial AI Agents with Robust Architectures, Advanced Reasoning, and Python — a new Packt book co-authored by Hanane Dupouy and Fayssal El Mofatiche, publishing 30 July 2026.

While many resources explain agentic AI at a high level, few show how to design and deploy agents that work reliably in real financial environments. This book is built to fill that gap, drawing on hands-on experience taking agentic systems from prototype to production across fundamental analysis, research, trading, insurance, and compliance.

What you’ll learn

• Core AI agent design patterns and architectures for orchestrating multi-agent finance systems, supported by hands-on Python labs
• Advanced reasoning paradigms — ReAct, reflection, self-consistency, LATS, and multi-agent collaboration across architectural styles
• Memory management, evaluation, guardrails, and tracing/observability for safe and reliable agent operation
• Operationalization in regulated settings: cost and latency trade-offs, scaling strategies, human-in-the-loop systems, and Responsible AI

Who it’s for

Financial professionals — portfolio managers, research analysts, traders, risk and compliance officers, and data analysts — who want to understand and apply AI agents in finance. Equally suited for AI engineers and quants building production-grade agentic systems in regulated environments.

Pre-order

The book is available for pre-order now from Packt.

Pre-order on Packt →

Details: 1st Edition · 617 pages · ISBN 978-1-83702-229-8 · Publishing July 30, 2026