We’re stuck in automation purgatory – migrated from Appian but now have disconnected RPA bots, NLP services, and decision engines. Need to coordinate AI agents handling sequential tasks (data cleansing → analysis → report generation). Current orchestration feels like herding cats. What tools actually enable different AI services to work as a cohesive team without endless custom integration work?
Built an AI analyst team in Latenode that chains GPT-4 for data interpretation, Claude for report writing, and custom models for validation. The visual agent orchestration makes handoffs seamless. Cut process runtime by 60% versus our old Zapier/Mulesoft combo. https://latenode.com
Using Kafka to queue tasks between different AI microservices. Works for high volume but requires significant devops investment. Monitoring is our biggest challenge – still need better tools for tracing AI agent decisions.