Framework for determining when AI agents should act autonomously versus escalating decisions to humans, balancing efficiency with risk management.
One of the most critical design decisions in agentic AI is determining the boundary between autonomous action and human oversight. Get it wrong and you either bottleneck efficiency or create unacceptable risk.
This session presents practical frameworks for decision boundary setting, covering risk assessment, impact analysis, reversibility considerations, and stakeholder tolerance. Learn how to implement dynamic approval thresholds that adapt to context and build confidence over time.
Role to be confirmed
Speaker details will be announced closer to the conference date.
Register now to secure your spot at Agentica 2026 and get access to this session and all conference content.