The process of coordinating multiple AI models, agents, and services to work together on complex tasks. AI orchestration involves managing data flow between components, handling failures and retries, sequencing dependent operations, and ensuring that the overall system produces coherent results — similar to how a conductor coordinates an orchestra.
Related Terms
Multi-Agent Orchestration
The coordination of multiple AI agents working together on complex tasks, where each agent has specialized capabilities and they collaborate through defined communication protocols. Orchestration ensures agents hand off context, share results, and avoid conflicts while working toward a shared objective.
Workflow Automation
The use of technology to automate repetitive business processes and tasks, replacing manual steps with intelligent, rule-based or AI-driven systems. Modern workflow automation goes beyond simple triggers by incorporating AI decision-making, dynamic routing, and adaptive logic.
Agentic Engineering
The discipline of designing, building, and deploying autonomous AI agent systems that can reason, plan, and execute complex tasks with minimal human oversight. Agentic engineering combines software engineering, AI/ML, and systems design to create production-grade autonomous workflows.