Automates root cause analysis, clarifies the impact, and suggests actionable fixes so you spend less time triaging and more time solving what matters. The result is a shift from manual investigation to a faster, more focused workflow, allowing you to focus on delivering business value rather than fighting fires.Whether it’s a failed test, a model issue, or an unexpected anomaly, it inspects recent code changes, execution history, lineage, and, when allowed, the data itself. It prioritizes the incidents that matter, proposes a fix, and can open a pull request for you. That way, incidents stop slowing you down, and pipelines begin to fix themselves.
From the Incident Management screen click “Investigate with AI” to trigger the agent. It will begin analyzing the incident and surface insights. You can follow along, ask clarifying questions, and when you’re ready, allow the agent to open a pull request with its suggested fix - all within your review flow.
Each issue is automatically ranked by the downstream dependencies impact, and the criticality of the affected asset.This helps your team know what to focus on, and what can wait.
Designed for hands-on data professionals, including data engineers, analytics engineers, and platform teams, who need a faster, more reliable way to stay on top of incidents without getting buried in triage work.
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