AWS re:Invent's discussion highlights the importance of a quantitative framework for justifying investments in incident management platforms, comparing PagerDuty's costs with the efficiencies of incident.io. Emphasizing the hidden costs of traditional tools, the text outlines how incident.io's Slack-native coordination, AI-powered SRE capabilities, and unified platform can significantly reduce Mean Time To Resolution (MTTR), eliminate coordination overhead, and consolidate tool sprawl, ultimately delivering a 162% ROI through operational improvements. By cutting coordination time by 87% and leveraging AI to accelerate diagnosis, incident.io promises substantial savings, improved engineer satisfaction, and reduced downtime costs. The guide provides a comprehensive ROI calculation framework, including sensitivity analysis and a business case template, to help engineering leaders present data-driven investment cases. It further contrasts incident.io's transparent pricing with PagerDuty's, offering a compelling argument for migrating to a modern incident management solution ahead of Opsgenie's 2027 sunset.