The AI Cost Crisis

Who's actually spending your AI budget?

Every line item in the technology budget has an owner, a forecast and a control. AI spend has none of the three.

Costs are consumption-based, every vendor measures usage differently and spending data sits across dozens of consoles. IT knows who has access. Finance knows what was billed. Engineering decides what gets used.

But no one has a complete view of all three.

Forrester VP Analyst Tracy Woo joins Flexera to explore where accountability for AI costs actually resides within the organization, how the rise of agentic workloads changes cost predictability and what the first 90 days of building an AI cost management practice should look like.

We’ll tackle:

• Where AI cost accountability actually lands in the organization
• What breaks when your biggest AI spender isn’t a person
• The cost lever most teams are leaving on the table
• What the first 90 days of AI cost management best practice looks like

This isn't a product pitch. Bring your own numbers and leave with a clear framework for managing AI spend

Episode 2: AI: from budget plan to business purpose

Discover how to close the gap between the plan and the purpose: surface AI consumption where value is realized, normalize engagement with AI-generated content across human and non-human creators, and attribute results to the teams, products and workflows driving impact.

Episode 3: AI ROI: from accountability to action

This session explores the progression from accountability to action to automation. Learn how to trace AI consumption back to its source, apply consistent tagging across your estate and establish thresholds defined by the teams that manage budgets and outcomes. We'll also examine how those signals can drive automated controls, helping organizations move from visibility to governance at scale.