TAI Event Drop: Engineering Reliable AI at Scale [16 June]
From Automotive Compliance to Multi-Agent System Quality
📅 Date: 16 June 2026
⏰ Time: 6:00 PM - 9:00 PM JST
📍 Location: Tokyo, Shibuya
🔗 Register: https://luma.com/byrcrfb7 (copy-paste if not working)
Intro
This event addresses the critical engineering and operational hurdles of transitioning AI from experimental proofs of concept (PoCs) to deterministic, production-grade enterprise deployments.
Bringing together systems architects, researchers, and engineers, we’ll explore three foundational pillars of modern AI infrastructure: safety-compliant AI governance within highly regulated environments like the automotive sector, system-level quality assurance for complex multi-agent workflows, and the post-deployment behavioral dynamics that dictate real-world user adoption.
You’ll gain actionable, framework-driven insights into building compliant, scalable, and resilient AI architectures optimized for industrial operations.
Agenda
The agenda is structured to follow a macro-to-micro-to-operational logical progression. We begin at the macro-compliance level, establishing the legal, regulatory, and quality assurance frameworks required before production engineering starts. We then transition into micro-level technical architecture, focusing on the specific QA challenges of verifying non-deterministic, multi-step agentic workflows. Finally, the session moves to post-deployment operations, analyzing the behavioral factors and human-system interactions that dictate whether a technically sound system succeeds or fails after release.
18:00 – Doors Open
18:30 – Talk 1: From PoC to Production: A Practical Roadmap for Enterprise-grade AI Compliance in the Automotive Industry (Alireza “Andrew” Sharifikia)
19:00 – Talk 2: System Quality for Multi-Agent AI Systems (Raphael Aubel)
19:30 – Talk 3: Why AI Systems Fail After Deployment: The Missing Human Layer (Tomomi Tanaka)
20:00 – Networking Session
21:00 – Doors Close
Details
AI Compliance & Governance in Automotive Systems
Speaker: Alireza “Andrew” Sharifikia (Software Engineering Manager at Corpy & Co.)
Focus: A technical breakdown of AI quality assurance and safety guidelines within the strict regulations of the Japanese automotive sector. This talk addresses why half of underperforming AI investments stem from governance failures and offers an architectural roadmap to mitigate these risks.
System Quality Frameworks for Multi-Agent AI
Speaker: Raphael Aubel (R&D Engineer at Corpy & Co.)
Focus: Extending QA4AI principles to evaluate complex, multi-step system trajectories rather than isolated inputs. Using a retail scenario, the session explores how to verify intermediate decisions, tool calls, and end-to-end repeatability before production release.
The Post-Deployment Human Layer
Speaker: Tomomi Tanaka (Founder, Behavioral AI Lab)
Focus: An investigation into why enterprise AI systems excel in technical benchmarks yet fail in production due to human factors like trust misalignment, cognitive overload, and user adaptation. The talk introduces a behavioral science framework to design systems optimized for real-world user adoption.
Supporters
Special thanks to our supporters: Foundry Labs, Corpy & Co., and Sakura Deeptech Shibuya.
Foundry Labs K.K. is a Tokyo-based AI systems integrator and solutions provider, delivering end-to-end support for enterprises: from strategy design through implementation, deployment, and operations. They tailor AI to each client’s operational, regulatory, and security requirements, with hands-on experience across finance, government, and industry, and a track record of shipping production systems in secure and regulated environments.
Corpy & Co. is an AI startup originating from the University of Tokyo and Inria, France, bringing together experts with diverse backgrounds from over 10 countries. By collaborating with companies and conducting extensive testing even in challenging environments, they aim to create a world where AI is more widely and deeply utilized.
Sakura Deeptech Shibuya is a new global innovation hub at Shibuya Sakura Stage, created by Tokyu Land to support world‑class deeptech startups through industry–government–academia collaboration. Anchored by partners such as MIT, UTokyo IPC, and Shibuya City, it provides a community, programs, and facilities designed to accelerate breakthroughs in energy, materials, carbon, AI, and robotics.
Organizers
Ilya Kulyatin is an entrepreneur with work and academic experience in the US, Netherlands, Singapore, UK, and Japan. He holds a BA in Economics, an MA in Finance, and an MSc in Machine Learning. He’s a 3x founder, now helping Japan grow the local AI ecosystem through a not-for-profit community, Tokyo AI (TAI), while building an AI-native system integrator and solutions provider, Foundry Labs株式会社.
Alireza "Andrew" Sharifikia is a Senior Manager in Software Engineering with a background in AI, Computer Vision, and Data Science. I love contributing to the startup community, and currently lead the XAI initiative and AI product sales at Corpy & Co.
About TAI
Tokyo AI (TAI) is the largest international AI community in Japan, with 5,000+ members mainly based in Tokyo: engineers, researchers, investors, product managers, and corporate innovation leaders. Through 80+ events a year and 300+ speakers spanning startups, enterprises, and academia, TAI connects the people building AI in Japan with the global ecosystem, working to transform Tokyo into a global AI hub.