Join Meta's Treasury leaders for an interactive session on what AI looks like inside a live treasury operation. No vendor pitch - just real scenarios, live platform demos, audience participation, and an honest look at what works, what doesn't, and where to start. Walk away with a practical framework for AI adoption in your own treasury function.

Learning Objectives:

1. Identify how AI can be applied across the treasury workflow - from signal detection and data contextualization to recommendation generation and audit trail creation - without replacing human judgment at the point of execution.

2. Apply a practical three-layer framework (Signal, Decision, Action) to evaluate AI readiness and prioritize implementation in a treasury function.

3. Recognize the governance and explainability requirements for deploying AI-assisted decision-making in treasury, including auditability, human-in-the-loop design, and clear boundaries on autonomous action.

4. Describe the organizational and data prerequisites for moving AI tools from concept to production in treasury, including lessons learned on data governance, change management, and cross-functional alignment.

Speakers:

• Kavita Bashyam, Head of Treasury - Meta

• Kyle McNealy, Director of Liquidity, Markets, Investments & Analytics - Meta