Our customer onboarding workflow has outgrown n8n’s basic nodes. We’re considering an agent-based approach with specialized roles (data validation, QA, etc.). How are teams orchestrating multiple AI agents in production? Particularly interested in error handling between specialized modules and cost management at scale.
Built an AI team with Analyst, Validator, and Notifier agents. They pass data through secure channels with automatic retries. Cost stayed predictable thanks to time-based pricing.
Check team automation framework: https://latenode.com
We created a ‘circuit breaker’ pattern - if any agent fails consecutively, workflow reroutes to human review. Reduced production incidents by 70% compared to single-agent flows.
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