AI for Financial Planning & Analysis (AI-FP&A)
Financial Planning & Analysis (FP&A) is rapidly evolving as artificial intelligence transforms how organizations forecast performance, analyze drivers, and support strategic decisions. This course equips finance professionals with practical knowledge on how AI can enhance planning, budgeting, forecasting, and scenario analysis without requiring technical programming skills. Participants will learn how to leverage AI tools to generate deeper insights, test assumptions, and improve financial storytelling for leadership. Through practical applications and realistic financial scenarios, the program helps FP&A professionals move from traditional reporting to forward-looking, insight-driven financial planning supported by AI.
PrerequisitesNone — open to managers at all levels
5 Days
Course Methodology
The course methodology combines conceptual understanding with hands-on application through a structured mix of the following approaches:
- Facilitated, interactive presentations that explain key concepts and link them directly to real-world financial practice
- Realistic financial case studies and scenarios reflecting practical challenges in analysis, forecasting, and risk management
- Hands-on practical exercises using AI as an analytical assistant across various finance use cases
- Guided professional discussions to strengthen critical thinking and peer learning among participants
- Analysis and evaluation of real AI-generated financial outputs from a finance professional’s perspective
- Continuous linkage between AI outputs and managerial judgment to ensure relevance and workplace applicability
The methodology emphasizes enabling participants to ask better financial and strategic questions, interpret AI-generated insights with discernment, and integrate those insights into high-quality financial and strategic conversations within their organizations, ensuring sustainable and practical value from AI adoption in finance.
Course Objectives
By the end of the course, participants will be able to:
- Analyze how artificial intelligence is reshaping financial insight generation, decision support, and the role of Financial Planning & Analysis (FP&A) function
- Apply AI-enabled tools and techniques to enhance financial analysis, reporting, and performance interpretation
- Evaluate AI-supported forecasts, trends, and financial narratives to inform planning, budgeting, and strategic discussions
- Assess the reliability, assumptions, risks, and ethical implications of AI-generated financial outputs
- Synthesize AI-derived insights with managerial judgment to support sound, defensible financial decisions
Target Audience
FP&A professionals, finance leaders, investment and risk analysts, CFOs, and senior professionals aiming to embed AI into financial strategy and organizational decision-making.
Target Competencies
- Developing AI-driven FP&A initiatives
- AI-Enabled Financial Insight Generation
- Integrated Financial Data Interpretation & Pattern Recognition
- AI-Supported Financial Performance & Risk Evaluation
- Intelligent Forecasting, Scenario Planning & Sensitivity Analysis
- Strategic Financial Judgment and Decision Augmentation with AI
- AI Governance, Bias Awareness & Responsible Financial Use
- Executive Communication of AI-Driven Financial Insights
Course Outline
- Adoption of AI in the FP&A function
- How AI differs from traditional analytics and automation
- Where AI fits across core finance activities
- From hindsight to foresight: the shift in financial insight generation
- Real-world examples of AI-enabled finance use cases
- What AI can and cannot do in financial decision support
- AI for Financial Analysis and Insight Generation
- AI-supported financial statement analysis and interpretation
- Automating ratio analysis, trend identification, and diagnostics
- Using AI to summarize financial performance and drivers
- Turning raw financial data into management-ready insights
- Practical exercises using AI as an analytical assistant
- AI-Enhanced Forecasting, Scenarios, and Sensitivity Analysis
- How AI improves forecasting logic and pattern recognition
- Exploring “what-if” scenarios using AI-supported reasoning
- Sensitivity analysis and assumption testing with AI
- Understanding uncertainty, confidence ranges, and limitations
- Using AI forecasts to support planning and budgeting discussions
- Risk, Bias, and Judgment in AI-Supported Finance
- Common sources of bias and error in AI-generated insights
- Interpreting results versus blindly trusting outputs
- Explainability and transparency in AI-supported analysis
- Ethical considerations and responsible AI usage in finance
- Strengthening human judgment alongside AI insights
- From AI Insights to Better decision making
- Translating AI outputs into clear financial narratives
- Communicating insights to non-financial stakeholders
- Using AI to challenge assumptions and ask better questions
- Practical use cases: management reviews, investment discussions, performance reviews
- Preparing for advanced, decision-focused AI FP&A frameworks
2026 Schedule & Fees
Course Fees Starting From
USD
0
Location & Date
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Virtual Learning
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