Prerequisite: None
Executives are betting on agentic AI to drive growth, yet most enterprises are struggling to justify the ROI. As more decisions shift from people to software, accountability can blur and losing the trust of customers, regulators, and employees becomes a potential risk and bottleneck to scale.
In this keynote, industry veteran Cal Al-Dhubaib distills lessons from healthcare, finance, and other regulated sectors. Al-Dhubaib will discuss three key messages:
- Patterns that work — how leading teams pair disciplined data practices with rapid experimentation
- Pitfalls to avoid — where proofs of concept most often stall and why
- A one-page trust checklist — questions any executive can add to project reviews to align business goals, risk appetite, and success metrics before the first line of code is written
Attendees will learn to ask the right questions that keep autonomous AI systems trustworthy, auditable, and ready to deliver measurable value at scale.