As AI systems move from assisting engineers to taking action across production workflows, the technical bar rises fast. Real-world environments are noisy, fragmented, and high-stakes, making reliability, context, and control core design problems rather than afterthoughts.
In this talk, Steven Karis, Chief Architect at Resolve AI, will share practical lessons from building AI systems that operate across incidents, debugging, and daily production operations. He will cover the architectural patterns required to make these systems useful in practice, including context aggregation across fragmented tools, coordinated reasoning and planning, and enforcement of safe action boundaries in complex environments. The session will also explore a broader industry shift: engineers are moving from being direct operators to supervisors who define policy, review decisions, and manage exceptions. The goal is not just to make AI more capable, but to make it dependable for engineers to collaborate with and delegate to.
