Reactive Publishing
Budgeting is no longer a static spreadsheet exercise. In modern finance organizations, planning must be adaptive, data-driven, and tightly integrated with operational signals. AI-Enabled Budgeting in FP&A: Designing Modern Planning Systems examines how artificial intelligence and predictive methods can be systematically incorporated into financial planning and analysis without sacrificing governance, transparency, or control.
This book focuses on architecture over hype. Rather than treating AI as a black-box overlay, it explores how finance teams can redesign budgeting workflows, data pipelines, and model structures to support machine-assisted decision making. Readers are guided through the practical foundations required to move from traditional annual budgeting toward continuous, intelligence-assisted planning systems.
Inside, you will explore:
The structural limitations of static budgeting models
Core AI and predictive concepts relevant to FP&A environments
Designing modular planning architectures that support automation
Integrating operational drivers with financial forecasting frameworks
Governance, auditability, and model risk considerations
Building scalable data infrastructure for planning systems
Transition strategies from legacy spreadsheets to hybrid AI workflows
Written for finance professionals, FP&A analysts, controllers, and finance transformation leaders, this book balances technical clarity with practical implementation insight. It does not assume advanced data science expertise, but it does assume a serious commitment to elevating the finance function beyond manual consolidation and reactive reporting.
AI does not replace financial judgment. It augments it. The competitive advantage lies in designing systems that combine structured financial logic with adaptive predictive capabilities.
This book provides the framework to build those systems.
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Paperback. Condition: new. Paperback. Reactive PublishingBudgeting is no longer a static spreadsheet exercise. In modern finance organizations, planning must be adaptive, data-driven, and tightly integrated with operational signals. AI-Enabled Budgeting in FP&A: Designing Modern Planning Systems examines how artificial intelligence and predictive methods can be systematically incorporated into financial planning and analysis without sacrificing governance, transparency, or control.This book focuses on architecture over hype. Rather than treating AI as a black-box overlay, it explores how finance teams can redesign budgeting workflows, data pipelines, and model structures to support machine-assisted decision making. Readers are guided through the practical foundations required to move from traditional annual budgeting toward continuous, intelligence-assisted planning systems.Inside, you will explore: The structural limitations of static budgeting modelsCore AI and predictive concepts relevant to FP&A environmentsDesigning modular planning architectures that support automationIntegrating operational drivers with financial forecasting frameworksGovernance, auditability, and model risk considerationsBuilding scalable data infrastructure for planning systemsTransition strategies from legacy spreadsheets to hybrid AI workflowsWritten for finance professionals, FP&A analysts, controllers, and finance transformation leaders, this book balances technical clarity with practical implementation insight. It does not assume advanced data science expertise, but it does assume a serious commitment to elevating the finance function beyond manual consolidation and reactive reporting.AI does not replace financial judgment. It augments it. The competitive advantage lies in designing systems that combine structured financial logic with adaptive predictive capabilities.This book provides the framework to build those systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798248414895
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Paperback. Condition: new. Paperback. Reactive PublishingBudgeting is no longer a static spreadsheet exercise. In modern finance organizations, planning must be adaptive, data-driven, and tightly integrated with operational signals. AI-Enabled Budgeting in FP&A: Designing Modern Planning Systems examines how artificial intelligence and predictive methods can be systematically incorporated into financial planning and analysis without sacrificing governance, transparency, or control.This book focuses on architecture over hype. Rather than treating AI as a black-box overlay, it explores how finance teams can redesign budgeting workflows, data pipelines, and model structures to support machine-assisted decision making. Readers are guided through the practical foundations required to move from traditional annual budgeting toward continuous, intelligence-assisted planning systems.Inside, you will explore: The structural limitations of static budgeting modelsCore AI and predictive concepts relevant to FP&A environmentsDesigning modular planning architectures that support automationIntegrating operational drivers with financial forecasting frameworksGovernance, auditability, and model risk considerationsBuilding scalable data infrastructure for planning systemsTransition strategies from legacy spreadsheets to hybrid AI workflowsWritten for finance professionals, FP&A analysts, controllers, and finance transformation leaders, this book balances technical clarity with practical implementation insight. It does not assume advanced data science expertise, but it does assume a serious commitment to elevating the finance function beyond manual consolidation and reactive reporting.AI does not replace financial judgment. It augments it. The competitive advantage lies in designing systems that combine structured financial logic with adaptive predictive capabilities.This book provides the framework to build those systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798248414895
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