CompliQuest

Course Overview

In finance, precision and trust are paramount, and the rise of AI adds both opportunities and risks. 

The EU AI Act and GDPR now mandate that organisations educate finance teams on responsible AI use, and this course delivers that knowledge through real-world examples. 

We examine the situations that can turn automated finance solutions into compliance nightmares: a payroll system rolled out without informing employees how their salary data will be processed or for how long; a budgeting team uploading detailed expense reports, complete with employee names and IDs, to an external Ai forecasting tool without anonymising the data or notifying staff; and a finance department activating an AI fraud detection system without conducting any privacy or fundamental rights assessments. 

Each example shows how the lack of transparency, risk analysis, or data minimisation can violate privacy laws and damage trust. 

From there, we provide clear, actionable guidance: perform privacy impact assessments and legitimate interest evaluations before launching AI tools; explain to employees and stakeholders exactly what data you are using, why, and who will access it; anonymise or pseudonymise sensitive financial information before feeding it into external models; test new systems thoroughly for accuracy and security; and put robust data processing agreements in place with third-party providers.

You will learn how to apply AI Act obligations and GDPR principles, such as fairness, purpose limitation, and data minimization, to payroll, expense management, and fraud detection. 

By the end, you will have the confidence to integrate AI into your finance operations safely, protect sensitive financial data, and demonstrate compliance to regulators and employees alike.

Who Is This For?

This course is ideal for finance professionals and teams who regularly use AI tools and manage sensitive financial information, including:

1. Finance managers & controllers – Ensuring responsible AI use in payroll, budgeting, and expense management. 
2. Payroll & accounts specialists – Safely managing employee financial data with AI tools, ensuring accuracy and privacy compliance. 
3. Financial analysts & forecasters – Using AI responsibly for tracking expenses, forecasting, and fraud detection. 
4. Compliance & privacy officers in finance – Identifying privacy risks, managing compliance obligations and protecting sensitive financial data when using AI. 

Modules

• AI Literacy in the Finance Department – Gain foundational knowledge on responsibly using AI for finance tasks such as payroll processing, expense forecasting, and fraud detection, while effectively safeguarding sensitive financial data and ensuring full compliance with privacy regulations.