Agent Orchestration
An operating approach that coordinates multiple AI agents and tools under shared routing and control policies
#agent orchestration#multi-agent#agent routing
What is agent orchestration?
Agent orchestration is the coordination layer that manages how multiple agents and tools execute tasks together.
It defines who handles what, under which permissions, and what happens when something fails.
How does it work?
A typical setup combines routing rules, permission boundaries, retry/stop policies, and execution logging.
- Classify requests and route them to the right agent
- Apply task-level permission scopes
- Handle failures with retries, fallback paths, or hard stops
- Persist logs for auditability and post-incident review
Why does it matter?
As agent count grows, operational complexity grows with it.
Without orchestration, automation can scale faster than control, increasing reliability and governance risk.
Related terms
AI Infrastructure
AMR (Autonomous Mobile Robot)
A mobile robot that plans and adjusts its own routes using sensor-based environmental awareness
AI Infrastructure
Antidistillation Fingerprinting (ADFP)
An output fingerprinting method designed to preserve detectable statistical signatures after distillation
AI Infrastructure
AX (AI Transformation)
An organizational shift that embeds AI into workflows, decision-making, and service operations
AI Infrastructure
Backpropagation
A learning algorithm that propagates prediction error backward through a neural network to compute parameter updates
AI Infrastructure
Behavioral Fingerprinting
An analysis method that identifies users or bots from interaction patterns such as timing and request sequences
AI Infrastructure
Cloud AI
A model usage approach where teams call AI capabilities through external provider APIs