Agentic FP&A explores the practical application of multi-agent systems to core financial planning and analysis work.
The book shows how coordinated AI agents can support forecasting processes, variance analysis, and the preparation of board-level reporting. It focuses on system design, agent roles, data flows, and the governance considerations required when moving these capabilities into real FP&A environments.
Readers will find clear explanations of multi-agent architectures tailored to financial workflows, along with implementation patterns that prioritize accuracy, auditability, and human oversight. The material is written for finance professionals, FP&A practitioners, and technical teams looking to apply agent-based approaches without sacrificing control or transparency.
This is a technical and process-oriented treatment of multi-agent systems in FP&A, not a collection of speculative claims or promotional promises.