Workflow stages
Alert intake & triage
Challenge: Gets noisy alerts with limited context; scans logs and dashboards How AI SRE helps:- Provides context for noisy alerts
- Identifies important signals in alert noise
- Rapidly explains what alerts mean
- Helps prioritize alerts based on evidence
Scope & impact assessment
Challenge: Infers blast radius from service metrics; guesses severity How AI SRE helps:- Provides evidence-based blast radius
- Identifies affected services and dependencies
- Quantifies severity with evidence
- Replaces guesses with evidence
Root cause investigation
Challenge: Greps logs; discovers missing fields; asks for redeploy with more logging How AI SRE helps:- Analyzes logs automatically
- Identifies what data is missing
- Gathers evidence from available sources
- Reduces manual log scanning
Fix design
Challenge: Reviews fix for urgency, not correctness How AI SRE helps:- Reviews fixes for correctness, not just urgency
- Suggests fixes based on evidence
- Assesses fix risks
- Validates fix approach
Deployment & verification
Challenge: Watches dashboards and error rates post-deploy How AI SRE helps:- Monitors system health automatically
- Verifies fixes are working
- Assesses impact reduction
- Identifies if fix didn’t work
Post-incident learning
Challenge: Moves on once alerts stop How AI SRE helps:- Documents investigation automatically
- Provides root cause summary
- Captures learnings from incident
- Retains investigation knowledge
Key workflows
Alert triage
- Receive alert with limited context
- Ask AI SRE to analyze alert
- Get context and severity assessment
- Prioritize based on evidence
- Take appropriate action
Quick investigation
- Get alert or incident report
- Ask AI SRE to investigate
- Get evidence-based findings
- Understand root cause
- Take action
Best practices
- Use AI SRE immediately when alerts come in
- Get context quickly before acting
- Verify fixes with AI SRE
- Document learnings before moving on
- Don’t just move on once alerts stop