[MC 05] AI Implementation and Change Management Use Case

In this masterclass, we explore the real-world implementation of AI in the financial services sector—where regulatory pressure, legacy systems, and risk aversion make change management just as critical as model performance.

Link
https://nas.io/artificialintelligence/events/mc-05-ai-implementation-and-change-management-use-case

Through the lens of a leading bank’s journey to deploy an AI-powered risk assessment engine, we’ll cover:

• How cross-functional teams aligned around AI strategy and compliance
• Managing resistance from traditional risk and operations teams
• Training non-technical staff to work with AI outputs and insights
• Governance frameworks put in place to ensure ethical and explainable AI
• Key takeaways for balancing innovation and trust in high-stakes environments

This session goes beyond the technical build, offering leadership insights on cultural readiness, stakeholder buy-in, and sustaining momentum in AI rollouts.
Who Should Attend:
Financial executives, risk leaders, transformation heads, and decision-makers looking to drive successful AI adoption while managing regulatory, cultural, and operational change.