Financial Modelling Using AI
Build on your workflow and forecasting knowledge to create intelligent, dynamic financial models that support faster, more accurate decision making.
Shape Your Digital Decision Making
Traditional spreadsheets are slow to update, hard to maintain and prone to human error, which limits the speed and quality of decision making. This course shows senior finance leaders how to move beyond static models and adopt dynamic, AI-supported approaches that provide faster, clearer insight.
You will learn how AI validates assumptions, identifies inconsistencies and improves model accuracy. The course explains how forecasting engines use live data, external signals and predictive techniques to update models automatically, and how scenario planning, sensitivity analysis and narrative commentary can be generated in seconds rather than days.
By the end, leaders will understand how to oversee the creation of intelligent, modular models that reflect real-time business performance. You will be able to challenge assumptions with confidence, ensure models align with strategic goals and support the board with more reliable, timely financial insight.
Future-Proof Your Role
What to Expect
- How AI enhances budgeting, forecasting and driver based modelling
- How to design models that update using internal and external data
- How predictive techniques improve accuracy and reduce manual work
- How to apply AI for scenario planning and sensitivity analysis
- How to use automation to maintain structure, consistency and quality
- How to build modular financial models that evolve with the business
Key Outcomes
- Faster, more accurate forecasting and decision support
- Lower modelling risk and reduced manual effort
- Clearer visibility of performance, trends and risks
- Ability to challenge, validate and refine underlying assumptions
- Dynamic models that support the business through change and growth