Toyota Connected's BR AX Digital Trust Promotion Department aims to make "AI-centric work practices" the norm across various internal business domains, including development, sales, and back office operations.
We view the reasons for slow AX adoption not as "lack of skills on the ground," but rather as "friction costs" created by internal rules, business processes, governance/approval workflows that aren't AI-ready, and the UX of internal tools employees interact with. We believe it's crucial to update these "internal assumptions and UX" to be AI-ready.
Support models relying on manual explanations, judgments, and reviews have already reached their limits in terms of the speed and scale of AI adoption.
We aim to co-create these "internal assumptions and UX" across internal products and business systems with startups, fostering an environment where employees can safely and seamlessly leverage AI.
Challenges we want to solve through co-creation:
PoC progresses while AX remains stagnant: Structural challenges causing AX stagnation
While proof-of-concepts and trials of generative AI and AI agents are increasing across various products and operations within the company, the current state of AI adoption is not accelerating sufficiently due to the following reasons:
・Uncertainty about the scope and appropriate use cases for AI
・Lack of clarity regarding official tools, rules, and accountability
・Heavy approval workflows, contracts, and security checks even for small trials
These "friction costs" trap both AI-native employees and those hesitant about AI in a state of "wanting to use it but unable to start."
Particularly, treating AI-native employees and AI-hesitant employees with the same tools, same approval workflows, and same UX further amplifies these friction costs. To reduce this friction, we aim to co-create a state where AX can be accelerated organization-wide. This involves redesigning the entire "corporate OS"—including internal business processes, rules, governance, and UX—with AI as a fundamental assumption.