Agentic AI：Enhancing the Quality and Speed of Decision-Making: Today and Beyond
The Evolution of AI Adoption and the Cutting Edge of Enterprise Decision-Making
AI has completed its trial phase and is now entering the value-creation stage. Adoption has reached 98%, and 60% of implementing companies report a productivity increase of more than 10%. By 2030, AI is expected to be embedded in over half of all business operations.Agentic AI will collaborate with humans, handling everything from information gathering to decision-making and execution, driving business sophistication and strengthening competitiveness.Agentic AI represents an AI that understands business goals and continuously thinks and acts autonomously.Now that we’ve moved beyond trials into the value-creation phase, we will introduce practical approaches for leveraging AI Agents today and explore the future direction of Agentic AI.
What is Agentic AI
As generative AI becomes part of everyday business, the real evolution of AI is just beginning. Next-generation Agentic AI autonomously makes decisions and takes action to achieve goals—handling everything from data collection and analysis to decision-making and execution.Moreover, multiple AI agents can collaborate to tackle complex challenges with greater flexibility. Fujitsu connects specialized AI agents across different business domains, enabling massive data processing and intricate scenarios to be executed in a fraction of the time.With governance and transparency at its core, we position AI as a trusted partner in decision-making—driving competitiveness and accelerating business transformation.
Three Pillars of AI Agents Supporting Decision-Making
In today’s increasingly complex and uncertain business and social environments, the evolution of AI is becoming a driving force for new value creation. Fujitsu emphasizes a human-centric perspective—placing people at the heart of everything—and advocates for an era where humans and AI collaborate and co-create to generate unprecedented ideas and innovations.
Agentic AI supports human decision-making, enhances operational efficiency, and fosters creativity, contributing to the sustainable growth of businesses and society as a whole. Furthermore, through cross-industry ecosystems, we aim to expand value creation driven by human-AI collaboration across society, ultimately improving environmental sustainability, economic prosperity, and overall well-being.
1. Accelerating the Development of Domain-Specific AI Agents
For AI agents to truly replace enterprise tasks, they must understand business processes as well as—if not better than—humans.
Fujitsu has spent decades co-creating applications with customers, building deep expertise in industries and operations alongside strong development capabilities. On the technology front, we’ve developed foundational elements that enable AI agents to thrive—such as Takane, our Japanese-optimized LLM, and the Enterprise Generative AI Framework, which ensures accurate interpretation of corporate data through structured data and contextual understanding.
This position as a technology company deeply rooted in real-world operations is the core strength of Uvance.
2. Promoting Multi-Agent and Multi-Vendor Integration
Specialized AI agents will collaborate seamlessly across domains, working together with external systems and third-party agents to achieve end-to-end automation and optimization of business processes.
These multi-AI agents operate as a dynamic network, selecting the most suitable agent based on objectives and context—handling everything from information extraction to decision-making and execution.
Unlike centralized management, this approach leverages the unique strengths of each system and agent, enabling flexible integration. By connecting diverse AI technologies and vendors, we can respond to complex business challenges quickly and accurately.
3. Ensuring Reliability and Establishing Robust Governance
As AI agents increasingly integrate with diverse systems and take on advanced decision-making roles, mitigating risks such as factually incorrect outputs (hallucinations) and information leaks becomes more critical than ever.Fujitsu has decades of expertise in AI ethics, security, and privacy, and is globally recognized for its industry-leading accuracy in hallucination suppression. Building on this knowledge, we will deliver technologies that monitor and control inter-agent communication and behavior—providing a level of trust and governance that competitors cannot match.
New Use Case Demos Powered by AI
Autonomous Inventory Management with Fujitsu's AI Agent
Inventory management is becoming increasingly challenging in today’s complex supply chains. In this video, we showcase how seven Fujitsu AI agents work together to handle stockout alerts, illustrating the entire process from proposal to adoption, evaluation, and continuous improvement. By integrating data and leveraging AI, the solution automates and streamlines inventory operations, delivering dramatic gains in productivity.
Dynamic Supply Chain Management optimizes inventory using Fujitsu AutoML's demand forecasting
Traditionally, inventory management in manufacturing has relied heavily on experience, but rising labor costs and a shortage of skilled workers are pushing this approach to its limits. By leveraging AI and data, companies can now automate demand forecasting and inventory calculations, dramatically improving supply chain efficiency. This transformation not only boosts competitiveness but also drives sustainable business growth.
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