Cambridge
Academy
In London

Introduction

AI is transforming financial analysis by enabling predictive forecasting, real-time insights, and smarter decision-making. This course teaches finance professionals how to leverage AI tools for improved financial performance.

Objectives

- Understand AI applications in financial planning & analysis.

- Use AI for forecasting revenue, expenses, and cash flow.

- Learn predictive modeling and scenario planning with AI.

- Apply AI dashboards for real-time decision-making.

Audience

- Financial analysts

- Accountants

- Business finance managers

- CFOs and finance executives

5-Day Outline

Day 1: AI in Financial Analysis

- Overview of AI in finance & accounting

- AI vs. traditional financial modeling methods

- Tools: Adaptive Insights, Anaplan, IBM Planning Analytics

- Benefits and challenges of AI-driven finance

- Discussion: Where AI fits in financial decision-making

Day 2: AI Forecasting Techniques

- Predictive analytics in finance

- Time-series forecasting with AI tools

- Scenario planning with machine learning

- Case study: AI in financial forecasting

- Workshop: Create an AI-based revenue forecast

Day 3: AI in Cash Flow & Expense Forecasting

- AI in cash flow prediction models

- Automating expense tracking with AI

- Forecasting capital requirements

- Practical demo: AI-driven cash flow dashboard

- Exercise: Build an expense forecast model with AI

Day 4: Risk & Sensitivity Analysis with AI

- Using AI for stress testing financial models

- Sensitivity analysis with predictive algorithms

- Identifying financial risks with AI insights

- Case study: AI for risk management in finance

- Workshop: Simulate financial risks with AI

Day 5: Future of AI in Financial Planning

- Role of AI in FP&A departments

- Ethical implications of AI in finance

- Skills finance leaders need in AI-driven environments

- Group project: Build an AI-enhanced financial forecast

- Wrap-up & certification