<p>AI agents are already causing real financial damage, and insurers are beginning to price that risk, with policies covering up to $50 million in agent-caused losses. As agent insurance becomes as common as cyber insurance, the key question is no longer “does it work?” but “is it insurable?”</p> <p>Most teams unknowingly disqualify their systems from certification during the design phase. This talk explains why and shows how to avoid it.</p> <p>Ioana Ghita presents a practical framework for designing AI agents that can be certified and insured. Drawing from real production deployments, she shows how five critical early architectural decisions determine whether an agent can meet emerging standards like AIUC-1.</p> <p>Attendees will hear:</p> <ul> <li>Five design decisions that make an agent certifiable</li> <li>Four behavioral validations that generate auditable evidence</li> <li>Three runtime metrics required to maintain certification</li> </ul> <p>Each point is grounded in production failures where the architecture was the root cause, not the model.</p>