AI Agents for Finance Teams: Building Autonomous Workflows with Python and LLMs

Reactive PublishingFinance teams are under pressure to move faster, reduce manual work, and deliver better insights, without expanding headcount. Most still rely on fragile spreadsheets, repetitive processes, and reactive reporting. AI agents change that.AI Agents for Finance Teams shows you how to design and build practical, autonomous workflows using Python and large language models. You will learn how to create agents that can gather data, analyze financial information, generate reports, monitor key metrics, and execute multi-step processes with minimal human intervention.This book focuses on real-world applications rather than theory. You will see how to: - Structure reliable agent architectures for finance use cases- Connect agents to data sources, APIs, and internal systems- Design prompts and tools that produce accurate, auditable outputs- Automate recurring workflows such as variance analysis, cash-flow monitoring, expense categorization, and management reporting- Add safeguards, logging, and human-in-the-loop controls so agents remain trustworthy in a regulated environment- Deploy and maintain these systems with Python in a way that is maintainable by finance and data teamsWritten for finance professionals, FP&A teams, controllers, and technical analysts who want practical results, the book assumes working knowledge of Python and basic familiarity with LLMs. No prior experience with agent frameworks is required.You will have a clear blueprint for building autonomous financial workflows that save time, reduce errors, and free your team to focus on higher-value analysis and decision-making.