As AI agents assume greater responsibility across the software-engineering lifecycle, enterprises need new ways to determine whether their work can be trusted, accepted, and governed.
Join a curated group of technology executives, engineers, assurance experts, investors, and ecosystem leaders at Chief's Flatiron Clubhouse in New York City for three focused panels and two extended networking receptions.
Attendance is limited and registration requests are subject to approval.
AI agents are beginning to do far more than generate code. They can increasingly interpret objectives, create plans, modify multiple systems, run tests, coordinate tasks, and carry work across longer portions of the software-development lifecycle.
When an AI agent plans and executes material engineering work, who determines whether the work can be trusted? What evidence should be required before it is accepted? Can the system producing the work also evaluate its own output?
During the program, Kealu will introduce the emerging concept of the Agentic Engineering Assurance Layer: the capabilities, controls, and evidence structures required to govern how agentic engineering work is performed, evaluated, traced, escalated, and accepted.
Opening Networking Reception. Meet the people shaping the future of autonomous software development.
Welcome and Women Leading Accountable Engineering Recognition. Recognizing the leaders helping define accountable autonomous engineering.
Panel 1 - Women Leading Accountable Engineering. From Copilots to Autonomous Engineering: as AI shifts from assistant to engineering actor, leadership and responsibility must evolve with it.
Panel 2 - Who Trusts the Agents? Agent autonomy is expanding faster than our ability to inspect, explain, and accept its work.
Panel 3 - Building the Agentic Engineering Assurance Layer. The next critical enterprise layer will govern how agentic engineering work is performed, evidenced, and accepted.
Closing Networking Reception. Continue the conversation and turn shared questions into new relationships.
Hosted in a setting created around senior women leaders, the event will feature Women Leading Accountable Engineering, recognizing women whose technical leadership is helping organizations adopt AI and autonomous systems without compromising accountability, quality, security, or meaningful human oversight.
The event is designed for participants who are actively shaping how AI will be adopted across software engineering and enterprise technology. Attendance remains application-based to maintain the quality, relevance, and balance of the room.
Chief Technology Officers, Chief AI Officers, Chief Product Officers, VPs and Heads of Engineering, Heads of Platform and Developer Experience, Principal, Staff, and Senior Software Engineers, AI infrastructure and developer-platform leaders, software quality and engineering-assurance leaders, cybersecurity and application-security executives, Responsible AI and AI-governance leaders, researchers, investors, enterprise innovation leaders, and strategic technology partners.