(AI Gen) AI DevOps: Building Intelligent Incident Response Systems

About this episode

The episode discusses building an AI-powered incident response workflow for efficient alert management.

On-call shouldn’t start with archaeology. This post shows how to build an AI-powered incident response workflow that triggers on alert, pulls the runbook, generates and runs KQL, reviews recent commits and feature-flag changes, then posts a Slack-ready summary with evidence. The key is a hybrid approach: AI for synthesis, APIs for facts, and typed outputs for reliability.

Topics covered

• AI
• DevOps
• Incident Response
• Automation
• Technology

Keywords

• AI
• incident response
• DevOps
• automation
• KQL
• Slack
• runbook

Mentioned in this episode

Organizations: Tilt Finance, Slack

Products: AI-powered incident response workflow, KQL

More episodes of Tilt Engineering

• (AI Gen) The Weak EM Will Become An NPC · June 9, 2026 · 20 min
• (AI Gen) Teaching AI to Read the Room: How We Built an Automated Incident Classifier · May 1, 2026 · 21 min
• (AI Gen) Adventures in the Modern Monolith: How do you keep a secret at Tilt? · April 10, 2026 · 23 min
• (AI Gen) Entropy Resistance · January 8, 2026 · 9 min
• (AI Gen) Set Your AI Up for Success: How BDD Tickets Drive Quality Outcomes · November 28, 2025 · 2 min
• (AI Gen) How We Built a Context-Aware Review Bot That Transformed Our Code Reviews · October 26, 2025 · 2 min