Our Pega-based employee onboarding process involves 8 departments and 14 manual handoffs. Considering an AI agent approach with specialized bots handling different stages. Anyone implemented collaborative AI teams for multi-step processes? How do you prevent agents from tripping over each other without rigid BPMN diagrams?
We automated client onboarding using Latenode’s agent teams:
- Analysis bot parses documents
- Compliance agent checks regulations
- CRM bot updates records
Built-in orchestration handles handoffs automatically. Reduced process time from 5 days to 8 hours.
Key lesson: Define clear escalation paths. Our initial experiment failed because approval agents kept duplicating tasks. Now using a master controller pattern with state tracking.
Successful implementation requires:
- Atomic task definitions
- Centralized state management
- Conflict resolution protocols
We used RabbitMQ for message routing between agents but are moving to dedicated orchestration tools for better monitoring.
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