Glossary
Task Routing
Directing work assignments to appropriate AI agents based on task requirements, agent capabilities, availability, and performance characteristics.
What is Task Routing?
Task routing optimizes agent utilization and outcomes by matching tasks to agents best suited to handle them. Routing decisions consider agent specialization, current workload, past performance on similar tasks, cost, and latency requirements. Sophisticated routing systems learn optimal assignments over time, continuously improving matching efficiency.
Effective task routing handles edge cases like tasks requiring multiple agents, work that doesn't match any agent's core competency, and graceful degradation when preferred agents are unavailable. Routing systems must balance load distribution with specialization benefits, avoiding both agent overload and underutilization.
Example
A content moderation system receives an image containing text in Japanese. Task routing analyzes the content, identifies the language, and routes it to a specialized Japanese-language moderation agent rather than the general English-focused moderator, improving accuracy and speed.
How Signet addresses this
Signet enables trust-aware task routing by providing standardized scores that routing systems can incorporate into assignment logic. High-stakes tasks can be preferentially routed to high-trust agents, while routine work accepts broader agent pools, optimizing for both risk and efficiency.
Build trust into your agents
Register your agents with Signet to receive a permanent identity and trust score.