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AI-Powered Financial Modelling: From Data to Decision in Hours
By the end of this session, participants will be able to:
- Clean and prepare financial data efficiently using AI-assisted methods.
- Build predictive financial models that combine traditional approaches with AI automation.
- Create scenario analyses to evaluate the impact of changes in key assumptions.
- Run risk simulations (e.g., Monte Carlo) to quantify uncertainty.
- Automate reporting and visualisation to present insights clearly and quickly.
- Incorporate AI prompts effectively into financial analysis workflows.
Webinar Outline:
- Part 1 – Foundations
- The role of AI in modern financial modelling
- Key tasks where AI adds speed and insight
- Overview of common AI tools and integrations
- Part 2 – Data Preparation
- Importing and cleaning real-world financial datasets
- Handling missing data, inconsistencies, and outliers
- Using AI prompts to accelerate data preparation
- Part 3 – Forecasting with AI Assistance
- Building baseline projections
- Leveraging AI-enhanced forecasting techniques
- Integrating industry benchmarks and external data sources
- Part 4 – Scenario and Sensitivity Analysis
- Modelling best, worst, and base cases
- Testing the impact of variable changes
- Automating scenario creation with AI scripts
- Part 5 – Risk Modelling
- Quantifying uncertainty with simulations
- Identifying key risk drivers
- Using AI to summarise and communicate risk
- Part 6 – Reporting and Visualisation
- Creating interactive dashboards
- Using AI to generate executive-ready narratives
- Delivering insights for fast decision-making
- Part 7 – Wrap-Up and Q&A
- Key takeaways
- Practical next steps for applying AI in your work
Overview of the webinar
In today’s fast-paced financial landscape, the ability to analyse data, forecast outcomes, and assess risks quickly is a competitive advantage. This intensive online session shows you how to harness the power of Artificial Intelligence to streamline financial modelling — from messy raw data to actionable insights.
Who should attend?
- CEO
- Senior Vice President
- Vice President
- Executive Director
- Managing Director
- Finance Professionals
- Accountants
- Regional Vice President
- Area Supervisors
- Managers
Why should you attend?
Through a live, end-to-end demonstration, you’ll learn practical techniques for automating repetitive tasks, building AI-enhanced forecasts, running scenario analyses, and communicating results visually. Whether you’re a financial analyst, accountant, risk manager, or business leader, you’ll leave with tools and workflows that save time, improve accuracy, and enable faster, smarter decisions.
Faculty - Mr.CA Manish Gupta
With over 15 years of experience in the hospitality industry, I am a seasoned finance and business management professional, author, and founder.
I have authored a comprehensive guide on budgeting and forecasting principles for hospitality, and founded eHotel Management School, an online platform that offers over 30 courses on various aspects of hospitality management to over 100,000 students.
As the chief financial officer at Htoo Hospitality, I manage the overall business for six destinations, 15 hotels, and 800+ room inventory, with a manpower strength of 1500+.
I also serve as the acting CEO and head of business, setting up strategies and steering the re-opening of key hotels post covid.
I have successfully implemented ERP, management reporting systems, financial planning and analysis processes, and data visualization tools to optimize the operations and performance of the hotels.
I am passionate about learning and development, innovation, business growth, and lean management, and I aim to help one million professionals on finance, business management, and technology.