← Back to Blog

The Big Book of AI Agent Financial Services Use Cases

By:
No items found.
Updated on:
June 11, 2025

Mentioned Shakudo Ecosystem Components

No items found.

AI agents are no longer the future of finance, they are the new competitive reality. While giants like J.P. Morgan and Morgan Stanley are already reaping billions in value from AI, many firms struggle to move from hype to production. This comprehensive guide is the executive playbook for turning AI potential into tangible business results.

This guide will show you how to:

  • Explore Real-World Use Cases: Uncover concrete AI agent applications across every financial sector—from AI-driven KYC and fraud detection in retail banking to portfolio optimization and deal origination in capital markets and asset management.
  • Master the Technology Stack: Understand the core enabling technologies, including Large Language Models (LLMs), vector databases for Retrieval-Augmented Generation (RAG), knowledge graphs, and the high-performance infrastructure required to power them securely.
  • Adopt a Winning Strategy: Discover why an “AI Operating System” is the emerging paradigm for deploying AI at scale, unifying best-in-class tools, automating DevOps, and slashing time-to-value from years to months.
  • Gain a Strategic Roadmap: Learn how to move from proof-of-concept to enterprise-wide adoption, creating a secure, fast, and scalable foundation for embedding AI into the core of your business.

See 175+ of the Best Data & AI Tools in One Place.

Get Started
trusted by leaders
Whitepaper

AI agents are no longer the future of finance, they are the new competitive reality. While giants like J.P. Morgan and Morgan Stanley are already reaping billions in value from AI, many firms struggle to move from hype to production. This comprehensive guide is the executive playbook for turning AI potential into tangible business results.

This guide will show you how to:

  • Explore Real-World Use Cases: Uncover concrete AI agent applications across every financial sector—from AI-driven KYC and fraud detection in retail banking to portfolio optimization and deal origination in capital markets and asset management.
  • Master the Technology Stack: Understand the core enabling technologies, including Large Language Models (LLMs), vector databases for Retrieval-Augmented Generation (RAG), knowledge graphs, and the high-performance infrastructure required to power them securely.
  • Adopt a Winning Strategy: Discover why an “AI Operating System” is the emerging paradigm for deploying AI at scale, unifying best-in-class tools, automating DevOps, and slashing time-to-value from years to months.
  • Gain a Strategic Roadmap: Learn how to move from proof-of-concept to enterprise-wide adoption, creating a secure, fast, and scalable foundation for embedding AI into the core of your business.

The Big Book of AI Agent Financial Services Use Cases

Guide to AI in financial services for technology leaders. Explore real-world use cases, the core tech stack (LLMs, RAG), and a strategic roadmap to turn AI hype into tangible ROI.
| Case Study
The Big Book of AI Agent Financial Services Use Cases

Key results

About

industry

Tech Stack

No items found.

AI agents are no longer the future of finance, they are the new competitive reality. While giants like J.P. Morgan and Morgan Stanley are already reaping billions in value from AI, many firms struggle to move from hype to production. This comprehensive guide is the executive playbook for turning AI potential into tangible business results.

This guide will show you how to:

  • Explore Real-World Use Cases: Uncover concrete AI agent applications across every financial sector—from AI-driven KYC and fraud detection in retail banking to portfolio optimization and deal origination in capital markets and asset management.
  • Master the Technology Stack: Understand the core enabling technologies, including Large Language Models (LLMs), vector databases for Retrieval-Augmented Generation (RAG), knowledge graphs, and the high-performance infrastructure required to power them securely.
  • Adopt a Winning Strategy: Discover why an “AI Operating System” is the emerging paradigm for deploying AI at scale, unifying best-in-class tools, automating DevOps, and slashing time-to-value from years to months.
  • Gain a Strategic Roadmap: Learn how to move from proof-of-concept to enterprise-wide adoption, creating a secure, fast, and scalable foundation for embedding AI into the core of your business.

Ready to Get Started?

Neal Gilmore
Try Shakudo Today