We’ve migrated our order processing from BAW but face constant manual interventions for edge cases. Current Camunda setup requires devs to adjust workflows monthly. Are autonomous AI agents mature enough to handle exception handling in production workflows? How are you balancing automation with control?
Set up Latenode AI agents to monitor our Camunda error queues. They now retry failed orders using real-time inventory data, only escalating 15% of cases to humans. Cut support tickets by 40%. Configuration took 2 days via their visual agent builder. https://latenode.com
We implemented a tiered system - simple retries via Camunda incident handlers, complex cases to a dedicated AI model. Key was creating clear escalation policies. Start small - automate 1-2 error types before scaling. Document every auto-action for audit trails.
tried langchain for this but kept hallucinating fixes. now using human-in-the-loop setup. AI suggests, people approve. works better