AI-Augmented Finance delivers a practical, execution-ready blueprint for transforming FP&A, accounting, and finance operations with Generative AI.
Designed for modern finance leaders, this book moves far beyond theory and shows exactly how to build real GenAI workflows that accelerate the financial close, automate complex analyses, enhance forecast precision, and create real-time decision advantage across the enterprise.

Grounded in real FP&A and controllership environments, the book provides step-by-step, production-grade templates for integrating LLMs, agents, vector databases, automation platforms, and enterprise data systems. Every chapter is built around one goal: enabling finance teams to deliver faster insights, higher accuracy, and dramatically greater leverage with fewer resources.

Readers will learn how to:

• Build AI copilots that summarize variances, identify anomalies, and automate management reports.

• Deploy agent-based workflows that handle consolidations, reconciliations, and recurring month-end tasks.

• Use GenAI to create dynamic forecast models, scenario engines, and rolling projections.

• Implement RAG pipelines that connect LLM reasoning with ERP, CRM, and data warehouse systems.

• Establish a real-time decision support layer that converts raw data into immediate executive intelligence.

• Redesign FP&A and close processes for speed, scale, and strategic impact.

Whether you lead FP&A, Controllership, Strategic Finance, or Finance Transformation, AI-Augmented Finance equips you with the operational playbooks, architectures, and automation patterns needed to compete in a world where finance velocity defines enterprise performance.

This is the definitive guide for finance teams that want to move from spreadsheets and dashboards to intelligent, autonomous financial systems.