Financial Management with AI

Week 2:

Financial Accounting & Reporting *

• Reading and connecting the P&L, Balance Sheet and Cash Flow statement

• Building P&L and Balance Sheet templates in Excel

• Applying revenue recognition, depreciation, accruals and provisions

• Spotting red flags and earnings quality issues in annual reports

Week 3:

Financial Planning, Budgeting & Scenario Thinking

• Traditional vs modern approaches: Zero-based, rolling, and driver-based budgeting

• Scenario planning techniques and AI-enhanced “what-if” models

• Building flexibility into financial plans with uncertainty in mind

Week 4:

Working Capital & Cash Flow Management

• Strategic Importance of Working Capital Management

• AI-Driven Working Capital Optimization

• AI in Inventory and Supply Chain Management

• Practical Applications and Case Insights

Cash flow and Forecasting with AI **

• Modern Cash Flow Forecasting: Accuracy, Limitations, and AI Evolution

• AI in Cash Flow Prediction

• AI-Enabled Financial Planning

• Practical Applications and Case Insights

Week 5:

Corporate Valuation Methods*

• Intrinsic vs relative valuation - when and why to use each

• Building a DCF model - cash flows, discount rate and terminal value

• Using comps and precedent transactions to ground valuation in market data

• Cross-checking with EV/EBITDA, P/E and P/B multiples

Week 6:

Financial Modelling

• Best practices for structuring robust financial models

• Embedding assumptions, drivers, and outputs for clarity

• Using AI tools to speed up model building and stress testing

• Hands-on: forecasting and modelling using projected income statements and scenario analysis

AI-Driven Financial Modelling **

• Predictive modeling using historical trends and AI-driven assumptions

• Using GPT to generate and validate assumptions and formulas

• Real-time model updates based on AI forecasts

• Demonstration based No-code AI tools (Eg Akkio)

Week 7:

Financial Markets & Instruments *

• How equity, fixed income and derivatives are structured and traded

• Reading yield curves, credit ratings and bond pricing signals

• Using options, futures and swaps to hedge financial risk

• How central bank decisions move equities, bonds and FX markets

Week 8:

Corporate Finance Fundamentals *

• Shareholder value vs stakeholder priorities in financial decisions

• Building a WACC and deciding the right debt-to-equity mix

• Using capital budgeting tools and hurdle rates to evaluate investments

• How dividend policy and M&A decisions signal strategy and affect valuation

Week 9:

Capital Allocation & Investment Decision Making

• Understanding and applying NPV, IRR, payback period, and real options

• Prioritizing capital investments under budget constraints

• Project evaluation using Gemini and discussion of sensitivity testing concepts

• Multiple comparative project examples to demonstrate investment comparison and prioritisation decisions

Week 10:

FinTech, AI & the Digital Finance Revolution

• Evolution of finance: From automation to intelligent systems

• Core AI concepts: NLP, ML, predictive analytics – in plain terms

• Use cases of AI in finance (planning, fraud detection, auditing, procurement)

Week 11:

Automating Forecasting, Variance Analysis & Reporting

• Automation of forecasting and variance analysis computations using Gemini

• GPT-based assistance in variance analysis and commentary generation

• Integrating Excel + AI tools (e.g., ChatGPT, Copilot)

• Exercise: Build a forecasting model with automated variance narration

Week 12:

No-Code AI Tools for Finance Professionals

• Tools: Google Workspace AI/Gemini, Airtable, Zapier

• Automating repetitive financial analysis and document generation

• Classifier building (e.g., expense categorization using AI)

Week 13:

Credit and Accounts Receivable Management

• Fundamentals of Credit and AR Management

• Digital Credit Risk Assessment & Scoring Models

• AR Automation & Invoice Financing Platforms

• Fintech in Collections and Credit Monitoring

Week 14:

Fintech in Collections and Credit Monitoring

• Foundations of Capital Structure

• Financing Options Across the Capital Spectrum

• Strategic Financing Decisions

• Technology and Data-Driven Capital Raising

Week 15:

Mergers and Acquisitions

• Global M&A Landscape

• Fundamentals and Strategies of M&A

• M&A Process and Execution

• Leveraging AI in M&A

Week 16:

Financial Risk Management with AI

• Identifying risks in everyday business and financial decisions

• Building stress-test simulations for adverse economic scenarios

• Mapping qualitative and unstructured risk data with NLP

• Using AI for risk scoring and fraud signal detection

• Mini Project: Create an early-warning dashboard for revenue and cost risks

Week 17:

Regulatory Reporting, Tax & Compliance using AI

• NLP for reading and summarizing regulations or financial disclosures

• Automating tax computations and compliance checks

• Building audit-ready documentation using AI-assisted tools

• Hands-on: Use AI to extract key data points from regulatory filings

Week 18:

Ethics, Bias & Responsibility in Finance

• Finance-specific ethical challenges in AI deployment

• Identifying and correcting algorithmic bias in forecasts

• Bias in credit scoring and lending algorithms (fintech use case)

• Establishing guardrails: Internal controls and governance for AI tools

Week 19:

Integrated Business Planning (IBP) Using AI

• Aligning strategy, operations, and finance using digital planning tools

• Cross-functional drivers and assumptions in IBP models

• Conceptual discussion of SaaS IBP platforms and AI-enabled planning systems

• AI-enhanced scenario building in complex planning environments

Week 20:

Cost Intelligence and Margin Analysis with AI

• Analyzing cost structure dynamically using AI trend recognition

• Detecting cost anomalies and predicting cost overruns

• Banking and financial-services examples (DBS Bank) and operational cost structures

• Margin variance by product, customer, or region using automated tools

Week 21:

Financial Benchmarking and Competitor Intelligence

• Using AI to crawl and compare competitor KPIs and performance

• Benchmarking cost structures, profitability, and capital structure

• Tools to convert unstructured financial text into competitor dashboards

• Activity: Build a competitive landscape heatmap with AI input

Week 22:

Data Visualisation & Financial Storytelling

• From reports to stories: Communicating financial insights effectively

• Visualizing fintech metrics: transaction volume, CAC, LTV, default rates

• Data-to-deck flow: Automating board presentation creation

• Using AI to summarize and visualize financial data

• Practice: Build a compelling 2-slide narrative from P&L + KPI data

Week 23:

Performance Management using AI

• Setting meaningful KPIs aligned to strategy

• Using Gemini to generate dashboard structures, financial metrics and KPI insights

• Building a performance cockpit for cross-functional teams

• Practice: Design and automate a performance review dashboard

Week 24:

Business Model Innovation in Financial Services

• Mapping new digital business models in fintech and embedded finance

• Exploring AI-driven offerings: robo-advisory, credit scoring, BNPL

• Using BMC and value proposition canvas with AI tools

Week 25:

Strategic Finance Simulation Lab

• Simulated 3-year planning cycle: Budgeting, investing, course-correction

• Apply forecasting, investment, risk and performance models built so far

• Tool: AI-augmented planning simulator (Excel + GPT macros

Week 26:

Capstone Project

• Integrate Finance and AI concepts through a real-world business challenge, culminating in data-driven financial insights and recommendations.