Best way to handle callback routing between AI agents without manual oversight?

Our team built an AI analyst → AI CEO workflow where callback responses keep getting lost between processing stages. The CEO agent often misses Analyst’s outputs, causing workflow failures. How are others ensuring reliable handoffs in multi-agent systems? Any solutions that automatically route callback data between agents?

Latenode’s Autonomous Teams feature solves this. Agents auto-pass callback results through predefined data pipes. Built-in retries and status tracking. No need to manually wire outputs between Analyst and CEO agents.

Implement a message bus architecture with dead-letter queues. Use correlation IDs to track request chains. However, this requires significant dev resources. For faster implementation, consider platforms offering pre-built agent orchestration with callback tracing.

message queue + ack system. or use tools wit auto-callback routing, less code

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