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engineering ai-agents architecture

Agent System Design Patterns for the Enterprise

An overview of single-agent, router, and multi-agent design patterns and when to use each in enterprise workflows.

Expaia Engineering

Choosing the right agent architecture

Not every workflow needs a fleet of collaborating agents. Understanding the continuum from single-agent to multi-agent systems helps you match complexity to the problem.

Single-agent systems

Best for focused, well-defined tasks. One agent connects to specific tools and executes a clear workflow.

Use when: The task has a clear input/output, limited decision branching, and doesn’t require coordination with other processes.

Router-based systems

A router agent receives tasks and delegates them to specialized sub-agents. This pattern scales well when you have diverse task types but want centralized orchestration.

Use when: You have multiple distinct workflows that share common triggers or data sources.

Multi-agent collaboration

Multiple agents share context and coordinate actions. This pattern handles complex, multi-step processes where different agents bring specialized capabilities.

Use when: The workflow crosses system boundaries, requires parallel execution, or involves negotiation between competing objectives.

Getting started

Start simple. Deploy a single agent for your highest-value workflow, measure outcomes, then expand. Expaia’s platform supports all three patterns and makes it straightforward to evolve your agent architecture as needs grow.

Explore Expaia Agents →