AI-First Incident Management: How leading companies like Wiz and Checkout.com are seeing real returns

Most enterprises have started investing in AI for incident management, but few are seeing the returns they expected. The reason is often the same: They’re layering automation on top of existing processes, adding complexity, slowing response, and limiting the business value AI can actually deliver.

The organizations seeing measurable outcomes have made a more deliberate shift toward autonomous operations. That means combining AI agents, operational intelligence, and human expertise in workflows that learn and improve over time.

This case study draws on conversations with engineering and operations leaders at Wiz and Checkout.com. Their experiences offer a clear picture of what separates enterprises seeing real returns from those still waiting for them.

Inside, we cover:

• Replacing reflexive escalation with intelligent signal routing to reduce noise and improve MTTR
• Removing human intervention from incidents that follow known patterns, freeing practitioners for more complex work
• Adapting security practices to address the new risk surfaces AI introduces
• Building operational workflows that learn and improve with every incident

Download your copy and discover how these PagerDuty customers are seeing real, measurable value from AI.