Data incidents are often investigated through fragmented Slack threads and manual SQL queries, leaving data owners dependent on engineers. Qbiz introduces a more efficient alternative: the Agentic Incident DAG. This approach uses AI agents to lead investigations while Airflow orchestrates a systematic diagnostic workflow.
When a failure occurs, the system triggers a diagnostic DAG and creates a Data Incident Ticket. An Investigation Thread captures the analysis in real time as specialized agents evaluate potential causes and provide clear summaries for data owners.
The system relies on deterministic diagnosis, using automated hypothesis testing and confidence scoring to identify root causes. Airflow coordinates agents as they query platforms via MCP interfaces and document findings. These steps are then converted into versioned playbooks, building institutional memory and significantly reducing Mean Time to Diagnosis.
Andres Astorga Espriella
Data Consultant