Fujitsu developed the Kozuchi AI Agent, a decision-making assistant powered by Microsoft’s Semantic Kernel, to optimize workflows and improve decision-making processes across various business applications. By continuously assessing and refining outputs, the agent helps companies build confidence in their decisions through rigorous evaluation and model optimization.
Companies face increasing complexity in decision-making as they rely on AI-driven methods to process large amounts of data. Key challenges included:
- Identifying the most effective AI models for specific workflows.
- Making certain decisions were backed by reliable, data-driven information.
- Building trust in AI systems among involved parties by demonstrating accuracy and consistency.
The Kozuchi AI Agent plays a vital part in maintaining decision accuracy by:
Evaluating AI Models: Continuously assessing multiple AI services to find the most suitable models for specific tasks, making certain decisions rely on the most effective tools.
Feedback and Refinement: Integrating feedback mechanisms to validate outcomes and refine decisions over time, preserving confidence in the agent’s recommendations.
Optimizing Workflows:
Automating the selection and use of AI tools to streamline processes and deliver reliable, consistent results.
Although not explicitly a verification layer, the agent’s ability to assess and validate AI model performance indirectly supports trust by helping confirm the reliability of decisions.
The Kozuchi AI Agent showed how optimization builds trust in decision-making:
Improved Decision Accuracy: Companies benefited from rigorously assessed models, leading to more precise outcomes.
Improved Efficiency: Automated processes saved time and resources while maintaining consistency.
Scalability: The agent’s capacity to continuously evaluate models allowed companies to adjust workflows easily as needs evolved.
Source: Fujitsu Kozuchi AI Agent Source