Compliance functions in financial services face increasing regulatory pressure, growing data volumes, and rising expectations around transparency and risk control. At the same time, artificial intelligence offers new opportunities to enhance monitoring, detect anomalies, automate documentation, and improve decision-making processes.

 

This moderated discussion focuses on how banks and insurance companies can move from isolated pilots to structured AI deployment within compliance. Participants will exchange experiences on identifying meaningful AI use cases, building internal capabilities, and aligning innovation with regulatory requirements.

 

Key themes include:

• Identifying high-impact AI use cases in compliance (e.g., transaction monitoring, fraud detection, document analysis, regulatory reporting)

• Balancing automation with explainability and auditability

• Governance, data quality, and model risk management

• Organizational and cultural prerequisites for successful implementation

• Lessons learned from first pilots and operational rollouts

 

The session is designed as a peer-level exchange among senior professionals from banking and insurance, focusing on practical experience, measurable value creation, and responsible AI deployment in compliance-critical environments.