AI Workflow and Operations
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Agent SRE is XenonStack's enterprise AI automation platform for observability-driven incident management. It detects incidents from your telemetry, investigates root cause, and carries out or recommends the response, all within boundaries your team sets. Every action is governed and recorded, so reliability leaders gain speed without giving up control or auditability.
Agent SRE is a multi-agent platform for site reliability engineering. Agents ingest telemetry, detect anomalies, correlate alerts to reduce duplicate tickets, and run root cause analysis. They can then remediate through actions such as restarting pods, scaling resources or rolling back a release, with human oversight.
For the broader approach, see SRE with AI agents.
Agent SRE runs on the governed agent foundation of ElixirClaw, which enforces policy limits, human approvals and decision traces at runtime.
Agent SRE sits on top of the monitoring and service management tools you already use. Documented integrations include Amazon CloudWatch, Azure Monitor, Datadog, Dynatrace and Splunk for observability, and ServiceNow, PagerDuty, Slack and Microsoft Teams for ticketing and collaboration, confirmed during scoping. Incident workflows can also link into Agentic ITSM.
| Capability | What it does | Governance control |
|---|---|---|
| Anomaly detection | Spots issues in telemetry | Observation-only mode |
| Alert correlation | Groups related alerts into one incident | Visible grouping logic |
| Root cause analysis | Identifies likely causes | Evidence retained for review |
| Automated remediation | Restarts, scales or rolls back | Decision boundaries and approvals |
| Incident similarity search | Finds past incidents and runbooks | Sources recorded |
| Reporting | Summarises incident outcomes | Audit logging |
Start in observation mode on one service or one incident type. Agree which actions agents may take alone, which need approval, and which tools to connect. Review the results with your reliability and audit teams, then extend the scope in stages.
No. It handles repetitive detection and investigation work so engineers can focus on design and judgement, and people stay in control of sensitive changes.
Yes. Decision boundaries and approval rules define permitted actions, and risky changes require sign-off.
No. Agent SRE connects to the tools you already run through APIs and event streams.
Agent actions are recorded, and audit logging supports post-incident review and compliance reporting.
Read our guide to the best enterprise AIOps platforms.
Book a Context Workshop with XenonStack and map your first incident workflow to the controls your teams require.
AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability
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Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment
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