
AI adoption is near-universal, accountability isn’t keeping up. Join this session to learn how to think about AI as a value investment, not just a cost category, and how to begin building an operating model, based on FinOps best practices, that helps leaders decide where to invest, optimize, or divest.
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AI spend is growing faster than many organizations can control. Uber burnt through its entire 2026 AI coding tools budget in just four months. Meta, Microsoft, and Amazon are walking back their incentives and leaderboard tracking for AI consumption.
The FinOps Foundation tracked enterprise AI spend growing from $1.7 billion in 2023 to $37 billion in 2025. Costs are fragmented across usage-based consumption, SaaS AI add-ons, cloud infrastructure, enterprise agreements, data movement, governance, and sustainability impacts. No single bill, dashboard, contract, or team owns the full picture.
If your organization wants to make sure it is getting value from AI vendors, and reducing costs and shadow AI, you need to start treating it the same way you treat any major vendor relationship, with commercial discipline, governance, and proper oversight. This webinar will help you do exactly that.
What You'll Walk Away With:
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Brian White
VP, Technology & Program Transformation
Anglepoint