Artificial Intelligence is increasingly being introduced into the processes and workflows of regulated financial services organisations, from customer onboarding and compliance monitoring to risk management, operations, reporting and employee productivity. However, successful AI adoption depends on much more than selecting an AI tool. It requires organisations to understand how their processes operate, where their data resides, how systems connect, which activities can be automated and where human judgement and regulatory controls must remain.

This one-hour webinar takes a practical process-led approach to AI, data and automation in regulated financial services. Participants will see how business processes are translated into workflows, how information moves between systems and third-party platforms, and why data integration, data quality, ownership and governance are fundamental to effective automation and AI.

The webinar will distinguish between digitisation, traditional workflow automation and AI-enabled automation and demonstrate how AI can be used to extract, classify, detect, predict, recommend and generate information within an existing business process. Using a financial-services workflow as a practical example, participants will see how automation and AI can progressively transform a process and how each change creates new considerations around data protection, accountability, human oversight, explainability, operational resilience, third-party risk and auditability.

The session will also place these developments within the regulatory environment applying to financial services organisations in Europe, including the EU AI Act, DORA, GDPR and existing sector-specific governance and conduct requirements.

Presentation Objectives

Presentation Outline

This webinar is designed for:

Speaker:

Monica Ioannidou Polemitis is a technology and business transformation executive with extensive experience leading data, analytics, automation and artificial intelligence initiatives across Europe. Her work focuses on the practical application of data, automation and AI to improve organisational performance, regulatory compliance and decision-making. Monica has led numerous transformation programmes involving data governance, enterprise architecture, process redesign, systems integration and emerging technologies, with a particular focus on ensuring that innovation is implemented responsibly and sustainably within complex environments. She is a frequent speaker on digital transformation, data strategy, AI adoption and organisational readiness for emerging technologies.