Claudia Hernandez

Automation is advancing faster than most finance organizations can govern it, but not every process should be automated, and not every decision should be left to machines. As AI and autonomous workflows become embedded across finance operations, finance leaders are facing a new challenge: defining where automation creates enterprise value, and where it introduces risk, fragility, or loss of control. This panel will explore how leading finance organizations are establishing clear boundaries between automation and human judgment, and how they are redesigning governance, accountability, and decision rights in an AI-enabled environment. The discussion will move beyond efficiency gains to focus on trust, control, and strategic risk. 

Panelists will examine: 

• How to determine which finance processes should be automated, augmented, or kept human-led based on risk, complexity, and value creation 
• Where automation improves decision quality and speed and where it can unintentionally degrade accuracy, accountability, or organizational resilience 
• How governance models, control frameworks, and decision rights are evolving as AI becomes embedded in core finance workflows 
• Real-world examples of automation successes and failures and what they reveal about scaling AI responsibly in finance 
• How to maintain trust, transparency, and auditability while still accelerating toward more autonomous finance operations