DEFINITION
Agent Orchestration involves managing several AI agents, tools, models and workflows to complete an objective. It identifies which agent to utilize for a given task, defines what each agent is responsible for, manages dependencies, provides information, and monitors performance. Depending on the workflow, several AI agents can work in a serial, parallel or coordinated fashion.
Importance
- Assign tasks to the best AI agent.
- Automates workflows.
- Helps identify the right models and tools.
- Monitors performance of tasks.
Use Cases
- Managing research, analysis, and reporting within enterprise workflows.
- Managing customer support, billing and ordering agents within customer service.
- Automate procurement by managing supplier search, quote analysis, and vendor selection.
- Managing coding, testing and documentation agents within software development.
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