# Engineering Reliable AI at Scale

> Tokyo AI evening on engineering reliable, production-grade AI: governance, multi-agent QA, and the human layer behind real-world adoption.

This event has ended.

- When: Tue, June 16, 2026 18:00–21:00 JST
- Where: Shibuya, Tokyo · In person
- Region: Kanto (Tokyo)
- Organizer: Tokyo AI
- Language: EN
- Source: Luma — https://lu.ma/byrcrfb7
- Page: https://japantech.info/events/luma-byrcrfb7/

## Summary

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.

## About the community

An international AI community in Japan with thousands of members, gathering engineers, researchers, investors, and product managers across dozens of events a year. Sessions feature speakers from startups, enterprises, and academia, with technical talks followed by networking, and run mainly in English.

#ai #agentic-ai #ai-governance #machine-learning #quality-assurance #production-engineering #tokyo-ai #multi-agent-systems #production-ai #enterprise-ai