Introduction
Complex business workflows often require multiple AI agents working together. This guide covers multi-agent orchestration patterns, communication strategies, and best practices.
When to Use Multiple Agents
1. Specialized Functions
- Executive Agent: Email triage and lead qualification
- Sales Agent: Follow-up sequences and deal progression
- Marketing Agent: Campaign management and analytics
2. Complex Workflows
- Multi-step processes requiring different expertise
- Parallel processing of independent tasks
- Sequential workflows with handoffs
Agent Communication Patterns
1. Sequential
Agents work in sequence, each completing their task before passing to the next.
2. Parallel
Multiple agents work simultaneously on independent tasks.
3. Hierarchical
Orchestrator agent coordinates specialized agents.
Workflow Orchestration
LangGraph
TKC uses LangGraph for complex multi-agent workflows:
- State management across agents
- Conditional routing
- Error handling and retries
- Workflow visualization
Error Handling
1. Fallbacks
- Retry failed operations
- Fallback to alternative agents
- Escalate to human when needed
2. Monitoring
- Track agent performance
- Identify bottlenecks
- Monitor error rates
Real-World Examples
Lead Qualification Workflow
- Executive Agent qualifies lead
- Sales Agent starts nurture sequence
- Marketing Agent adds to campaign
- Sales Agent alerts when ready to close
Ready to build multi-agent systems? Book a call to discuss your use case.