> ## Documentation Index > Fetch the complete documentation index at: https://docs-sre.lightrun.com/llms.txt > Use this file to discover all available pages before exploring further. # On-Call Engineers > AI SRE workflow for On-Call Engineers On-Call Engineers respond to alerts and incidents during their shifts. AI SRE helps understand noisy alerts, investigate with limited context, and respond effectively. ## 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 **Example:** ``` [Receives noisy alert] You: "What's this alert about? Is it critical?" AI SRE: [Analyzes alert, provides context, assesses severity] ``` ### 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 1. Receive alert with limited context 2. Ask AI SRE to analyze alert 3. Get context and severity assessment 4. Prioritize based on evidence 5. Take appropriate action ### Quick investigation 1. Get alert or incident report 2. Ask AI SRE to investigate 3. Get evidence-based findings 4. Understand root cause 5. 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 ## Next steps