System outages cost organizations $400 billion annually worldwide. The AI Agent market is projected to reach $42.7 billion by 2030. Organizations implementing AI-powered SRE practices see 50% less downtime and 70% faster incident resolution. incident.io's Investigations platform automates 80% of incident response, reducing MTTR by up to 80%.
Key Insight: Organizations embracing AI-powered SRE tooling in 2025 will gain significant competitive advantages in reliability, cost efficiency, and engineering productivity.
AI-powered SRE represents a fundamental shift from reactive to proactive reliability engineering. AI enables continuous analysis, prediction, and autonomous action, transforming the traditional SRE model.
AIOps applies machine learning and analytics to IT operations data, offering intelligent alert management, anomaly detection, and event correlation. This leads to significant improvements in alert volume reduction, MTTR, and engineer productivity.
AI does not replace human judgment for complex, novel failures. It handles the 80% of incidents that follow recognizable patterns, freeing engineers to focus on the genuinely difficult 20%.
incident.io was founded in 2021 by former Monzo engineers. The platform was built from the ground up for the AI era, offering autonomous investigation and resolution capabilities.


Today we're launching Investigations: agentic root cause analysis that starts the moment you're paged, figures out what broke and why, and works with your team through to resolution. Here's what we built, what's powering it, and why it took some time to get right.


PagerDuty published a new comparison table about incident.io. Once again, it describes a product we don't recognize. So once again, we're correcting the record, row by row, with receipts.


Today, we're launching the Opsgenie Rescue Program to make that landing soft: simplified migration and free overlap so you never pay two vendors at once.
