AI spending is accelerating faster than the governance frameworks built to manage it. For most organizations, AI infrastructure costs are a black box: untagged, unattributed, and impossible to tie to business outcomes. In fact, practitioners see it as a top priority, yet they have no playbook for managing it.
This session changes that. We’ll walk through how NRG Energy, one of the leading North American energy and home services companies manages AI spend, showing exactly how we built a total cost of ownership model for AI workloads, established cost attribution from GPU infrastructure through to product-level outcomes, and developed a structured ROI methodology for prioritizing and defending AI investments. Sharing artifacts from the process, such as the executive dashboards, allocation models, and reporting workflows. Attendees will leave with a repeatable actionable process for AI cost governance, a practical approach to unit economics for AI workloads, and a methodology for presenting AI ROI in terms that will resonate with your CFO. If your organization is spending on AI and struggling to answer “is it worth it?” – this session is built for you.