AI model orchestration combines multiple artificial intelligence (AI) models to achieve a common goal or set of goals. It involves integrating different AI models, each with its own strengths and weaknesses, to create a cohesive and effective AI system.

When built appropriately, it is possible for AI model orchestration to improve accuracy and reliability by having the outputs of AI agents checked by other AI agents.