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Artificial Intelligence for Accounting & Finance: Advanced Level

Lead AI-driven financial transformation by developing advanced skills in financial forecasting, executive reporting, intelligent automation, risk assessment and strategic decision-making.

Artificial Intelligence for Accounting & Finance: Advanced Level

AI for Accounting & Finance – Advanced Level is an advanced, practical programme designed for accounting managers, financial controllers, Financial Planning and Analysis (FP&A) managers and CFO teams.
The programme focuses on applying Artificial Intelligence to improve existing accounting and financial management processes while maintaining accuracy, accountability and human control.
Participants learn to evaluate AI projects, manage financial data, test forecasting models, review executive reports, identify unusual financial transactions, develop source-based AI assistants and implement supervised automation workflows.
Through realistic business scenarios and practical exercises, learners develop the skills to assess AI performance, measure business value, manage implementation risks and make informed decisions about adopting AI within their organisations.

What you will be able to do

  • Design advanced AI prompts and structured context frameworks for complex financial tasks.
  • Evaluate AI applications based on business value, data readiness, implementation costs and operational risks.
  • Establish data governance practices and maintain secure ERP-to-AI data workflows.
  • Evaluate AI-assisted financial forecasts against traditional forecasting methods.
  • Develop and review cash-flow projections and financial planning models.
  • Analyse executive financial reports and identify unsupported conclusions or reporting errors.
  • Use AI-assisted techniques to identify unusual transactions and support financial investigations.
  • Develop source-based finance assistants using approved organisational information.
  • Design and test supervised financial automation and approval workflows.
  • Evaluate AI suppliers, licensing costs, implementation requirements and team adoption strategies.
  • Calculate potential returns on investment and distinguish actual financial savings from operational efficiencies.
  • Develop and present a costed 90-day AI adoption roadmap for a finance process.

Programme structure

  1. Module 1: Advanced Prompt and Context Engineering
  2. Module 2: Selecting and Evaluating AI Projects
  3. Module 3: Financial Data Governance and ERP Integration
  4. Module 4: AI-Assisted Forecasting and Cash-Flow Decisions
  5. Module 5: Executive Financial Reporting and Power BI
  6. Module 6: Financial Anomaly Detection and Investigation
  7. Module 7: Developing Source-Based Finance Assistants
  8. Module 8: Intelligent Automation and Workflow Controls
  9. Module 9: AI Supplier Evaluation, Costs and Team Adoption
  10. Module 10: Strategic Financial Decision-Making and AI Implementation