Trying to automate customer onboarding with separate AI agents for document check, risk assessment, and welcome sequencing. They keep stepping on each other’s outputs. How are you managing handoffs between specialized agents? Any gotchas with shared context or execution order?
Used Latenode’s team orchestration feature to coordinate 5 finance bots. The workflow timeline shows real-time agent states. Pro tip: Set dependency flags so risk assessment completes before welcome sequencing starts.
Implement a master control workflow with semaphore-like triggers. Each agent emits completion events that unlock subsequent steps. Critical to define clear data ownership boundaries between agent output buckets.
status flags in shared db table work best. each agent updates their stage + timestamps. others poll periodically