Chugai AI Strategy

In pursuit of our Growth Strategy for 2030, Chugai has rebuilt its approach to AI utilization and its governance framework, and has formulated a basic Company-wide strategy for AI, “Chugai AI Strategy,” to promote transformation of business processes suited to the AI era and strong transformation toward a lean organizational structure.
This page outlines the three pillars that underpin the Chugai AI Strategy.

AI Everyday

By enabling all employees to use AI routinely in their daily work, we will significantly improve individual productivity. We will provide training programs tailored to each employee’s skills and motivation to enhance AI skills, while building an infrastructure on which everyone can appropriately use the latest AI. Through a new way of working in which AI Buddy (push-type AI) serves as a partner, we will enhance both the quality and quantity of work output and accelerate value creation and innovation by employees.

AI Everywhere

We will transform all business processes across the value chain into AI-based processes and promote “Fit to AI” by embedding AI, thereby achieving significant improvements in organizational productivity and quality. While placing importance on employee experience, we will build an agentic AI^*1 platform that drives transformation toward autonomous business processes.
*1 AI that autonomously executes tasks and makes decisions to achieve objectives

AI Transformation

By combining the strengths of AI and our people, we aim to create innovations that cannot be achieved by humans alone and generate significant impact on management and society. We will define themes directly linked to solving medium- to long-term management challenges as top initiatives and drive them forward. By strengthening co-creation frameworks and partnerships with internal and external experts and other companies, we will generate impactful outcomes for management and society.

We will promote the use of AI to improve the efficiency of daily work for all employees and automate business processes using AI, aiming for a 30% increase in productivity compared with 2022,while increasing investment in the RED domain^*2.
*2 Research and Early Development