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What is AI Agent Orchestration? | IBM

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Artificial intelligence (AI) agent orchestration is the process of coordinating multiple specialized AI agents within a unified system to efficiently achieve shared objectives. Rather than relying on a single, general-purpose AI solution, AI agent orchestration employs a network of AI agents, each designed for specific tasks, working together to automate complex workflows and processes. To fully understand AI agent orchestration, it's essential to first understand AI agents themselves. This involves understanding the differences between two key types of AI: generative AI, which creates original content based on a user’s prompt, and agentic AI, which autonomously makes decisions and acts to pursue complex goals with minimal supervision. AI assistants exist on a continuum, starting with rule-based chatbots, progressing to more advanced virtual assistants and evolving into generative AI and large language model (LLM)-powered assistants capable of handling single-step tasks. At the top of

What is AI Agent Orchestration? | IBM 15ANP > 17BG2 > 20AQR > 30AX6"/> 15ANP - Data Platform > 17BG2 - AI/ML Ops > 20AQR - AI Tools > 30AX6 - watsonx ai"/> Think 2026 Build, govern and scale agentic AI | Think keynotes What is AI agent orchestration? By Amanda Downie , Matthew Finio Artificial intelligence (AI) agent orchestration is the process of coordinating multiple specialized AI agents within a unified system to efficiently achieve shared objectives. Rather than relying on a single, general-purpose AI solution, AI agent orchestration employs a network of AI agents, each designed for spec

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