Engineering leaders face a persistent paradox: demand for faster releases, higher reliability, and broader service coverage keeps growing, but headcount budgets don’t.
Engineering teams spend up to 30% of their time on unplanned work: responding to alerts, triaging incidents, coordinating war rooms, and chasing root causes. Every hour spent firefighting is an hour not spent shipping features or reducing technical debt. Slow, manual incident resolution doesn't just hurt reliability. It starves innovation.
The key to scaling without adding headcount is reclaiming that time. When AI-powered automation handles alert noise reduction, intelligent routing, and auto-remediation, engineers get hours back every week. Faster incident resolution doesn't just improve MTTR. It frees capacity for the work that moves the business forward.
In this session, you'll learn:
- Why incident toil is the hidden tax on engineering productivity and how to quantify the time your team loses to manual incident response
- How purpose-built AI transforms incident management, from intelligent alert enrichment and suggested resolvers to automated remediation workflows
- The "time reclaimed" framework, a practical model for calculating how faster MTTR translates into more capacity for feature development and proactive reliability work
- How leading organizations are doing it today, with real-world examples of teams that freed up engineering resources by automating incident response with xMatters
- Sustainable on-call practices that reduce alert fatigue and protect team well-being while maintaining service quality
We hope to see you there!
Questions? Contact [email protected]
