Engineering Reliable AI at Scale

Tokyo AI (TAI) hosts an evening focused on the engineering and operational realities of moving AI from proof-of-concept to reliable, production-grade enterprise deployments. Three talks cover complementary layers of the problem: safety-compliant AI governance under strict regulatory frameworks such as the automotive industry, system-level quality assurance for multi-step agentic workflows, and the post-deployment human and behavioral factors that decide whether a technically sound system actually gets adopted. The agenda starts at the macro-compliance level (legal, regulatory, and QA frameworks), moves into micro-level architecture and the challenge of verifying multi-agent system trajectories, then closes on post-deployment operations and human-system interaction. Speakers include Alireza Sharifikia and Raphael Aubel from Corpy & Co. and Tomomi Tanaka, founder of Behavioral AI Lab. Doors open at 18:00 with talks running from 18:30, followed by a networking session at 20:00. The event is held in Shibuya, Tokyo, and suits QA engineers, AI engineers, and technical teams building or evaluating production AI systems.