Case study
AI agent workflow
A multi-agent AI workflow that automates and optimizes complex business research and analysis.
Context
Complex research and analysis work is time-consuming and hard to scale when done manually.
Contribution
Designed and implemented agentic AI workflows with dynamic orchestration, integrating AI models and external data sources behind an interactive user interface.
Outcome & learning
A modular, reliable, and scalable workflow that structures information gathering, analysis, and validation to support data-driven decisions.
Technologies
Shown as concept — no confidential material is displayed. The diagram is an original, abstract illustration.