Just Now Possible When AI Becomes Your SRE: How Incident.io Is Automating Incident Response
Nov 6, 2025
Join Lawrence Jones and Ed Dean from Incident.io as they dive into the revolutionary impact of AI on incident response. Lawrence, a founding engineer leading the AI team, and Ed, the product lead for AI, share insights on how AI compresses investigation times from hours to mere minutes. They discuss the importance of user trust in AI, simplifying complex systems, and using past incidents to improve future responses. Explore their innovative Slack integration and the fascinating concept of AI as a company's immune system in action!
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AI Shifts Response From Coordination To Investigation
- AI lets incident response move from coordinating humans to actively investigating and suggesting fixes across systems.
- Incident.io aims to compress time to identify causes from hours to minutes by automating investigation tasks.
From Wake-Up Page To Fast Hypothesis
- Lawrence recounts how their system collates alerts, opens a Slack channel, and runs parallel agents to investigate within minutes.
- The agents search code, Slack, incidents and metrics then return hypotheses and suggested actions rapidly.
Blend Retrieval Methods, Favor Deterministic Tags
- Don't rely solely on embeddings; combine text similarity, summaries, and re-ranking for reliable retrieval.
- Use deterministic tags and re-rank results with frontier models to improve precision and debuggability.