Autonomous Decision-Making and Collaboration Enabled by Agentic AI
Agentic AI enables multiple AI agents to work together and collaborate with people, handling processes from information gathering and analysis through decision-making and execution. Through the Context Layer, which connects AI with the knowledge and experience organizations have cultivated, and the AI agent Watomo, Fujitsu supports decision-making and execution, leading to AI-driven transformation.
Agentic AI Transforming Decision-Making and Execution Through Collaboration Between People and AI
AI-driven transformation is an initiative in which people and AI work together, leveraging data and each organization’s unique knowledge and experience to evolve decision-making and business operations. Through Agentic AI, Data & AI, and other capabilities, Uvance supports enterprise transformation and value creation.
Agentic AI autonomously makes decisions and takes action toward a given goal, handling processes from information gathering and analysis through execution.
With Agentic AI, multiple AI agents with different areas of expertise collaborate autonomously, handling processes from information gathering and analysis through execution to achieve a given goal. An orchestrator AI agent oversees the entire process, with people joining as needed to address complex challenges.
Rather than limiting AI to improving the efficiency of individual tasks, Agentic AI enables people and AI to collaborate and leverage the knowledge and experience that organizations have cultivated to drive business transformation and growth. This is AI-driven transformation enabled by Agentic AI.
The Context Layer Connecting Company-Specific Knowledge to AI-Powered Decision-Making and Execution
An organization’s competitiveness is not determined solely by the volume of data it possesses. Its strengths lie in its unique context, including the knowledge and experience cultivated through business operations, customer understanding, decision-making criteria, and frontline expertise.
For Agentic AI to make decisions and take action in pursuit of a goal, Agentic AI must understand the organization’s business terminology, rules, decision-making criteria, and frontline expertise.
However, such company-specific knowledge is dispersed across people, organizations, and business systems. Unless this knowledge is sufficiently connected with the general knowledge available to AI, even multiple collaborating AI agents will find it difficult to make decisions and take action based on the meaning and context of that organization’s unique business operations.
The Context Layer provides the foundation for bridging this “context gap” and enabling AI to understand business context and relationships. The Context Layer connects corporate data with meaning and context, including business terminology, rules, decision-making criteria, processes, and relationships between data, making them available to both people and AI agents.
By enabling people and multiple AI agents to collaborate based on a shared context, the Context Layer applies the knowledge and experience cultivated by the organization to decision-making and execution, turning them into a source of company-specific competitive advantage.
Related Information: “Watomo” Supports Decision-Making and Execution Through Business Understanding, AI Collaboration, and Reliability
Fujitsu’s AI agent “Watomo” supports enterprise decision-making and execution through three pillars: deep business understanding, collaboration with diverse AI technologies, and ensuring reliability. Leveraging industry and business expertise together with proprietary technologies such as “Takane,” a Japanese language-enhanced LLM, Watomo understands corporate data and business context. AI agents with different areas of expertise work with third-party AI solutions and external systems to address complex challenges. Drawing on expertise in AI ethics and security, Fujitsu also works to create an environment in which organizations can use AI with confidence by reducing the risks of incorrect responses and information leakage.
FAQ
What is Agentic AI?
Agentic AI gathers and analyzes information, determines the next action, and executes it to achieve a given goal. It supports decision-making and business operations in collaboration with people and aims to address complex challenges through coordination among multiple AI agents.
What is the difference between Agentic AI and an AI agent?
Agentic AI involves multiple AI agents with different areas of expertise and roles working together, with people also participating, to make decisions and take action toward more complex goals. An AI agent is AI that autonomously makes decisions and takes action according to an assigned role or goal.
What is an orchestrator AI agent?
An orchestrator AI agent coordinates multiple AI agents according to the objective and circumstances and oversees the overall process. By combining the expertise of individual AI agents, it enables them to address complex business operations and challenges.
What is the Context Layer?
The Context Layer is a layer between corporate data and AI that holds business terminology, rules, decision-making criteria, processes, relationships between data, and other contextual information. It enables AI to understand not only individual pieces of information but also their background and business meaning, allowing AI to use that information in ways aligned with the organization’s operations.
Why is the Context Layer necessary?
For Agentic AI to make decisions and take action in line with business operations, it needs more than access to data. It must also understand company-specific rules, decision-making criteria, and frontline expertise. The Context Layer bridges the “context gap” between AI’s general knowledge and company-specific knowledge, aligning AI’s decision-making and execution with actual business operations.
What does the Context Layer change?
It expands the use of AI beyond information retrieval and summarization to applications that take business meaning and relationships between information into account. For example, it supports business decision-making through execution by presenting options, prioritizing them, suggesting next actions, and supporting workflows.
What is Watomo?
Watomo is the name of Fujitsu’s AI agent. It represents an entity in which people and AI collaborate to think, learn, and move actions forward. Fujitsu positions Watomo as “an AI agent that embodies the concept of Agentic AI in actual business operations and decision-making.” Beyond information retrieval and text generation, it supports human decision-making in business operations involving information gathering, analysis, decision support, and execution support.
Related Sites
Fujitsu Kozuchi Enterprise AI Factory
Fujitsu's AI Ethics and Governance
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Updated October 30, 2026