Learn how leading teams are turning token spend into provable business outcomes.
Cost visibility
AI Insights
TOKENMAXXING
Optimization
Responsible AI
AI spend
Savings opportunities
cloud cost
budget compliance
Head of FinOps
Vice President of Engineering
Head of Security Architecture and Engineering
Head of Cloud FinOps
Founder & Executive Director
Manager, FinOps
CEO
Senior Product Marketing Manager
Learn how teams are turning AI spend into provable business returns and leave with a framework you can use starting today.
Is your token spend is converting to business value? Learn the token-level attribution, unit economics, and tagging strategies that transform AI spend from a line item into a provable business case.
Walk away with the outcome-per-token frameworks and board-ready ROI narratives that keep finance and engineering teams aligned on what AI is actually delivering.
Poor tagging, weak allocation, and misaligned commitment strategies don't just waste money, they make outcomemaxxing impossible. Build cost hygiene that turns foundational rigor into a competitive advantage before AI spend finds the gaps.
Discover how leading teams embed cost guardrails and outcome targets directly into the deployment pipeline, giving engineers and leadership the signal they need before the spend is already sunk.
Sessions
AI spend is outpacing every governance framework built to manage it. Two of the industry's most connected voices unpack the State of AI FinOps 2026 report and what separates teams connecting every token to a business outcome from the ones still flying blind.
Token-level attribution is the only way to build an AI ROI case that finance and engineering can both stand behind. Learn how leading teams are tracing spend from raw token consumption to measurable business outcomes before the spend spirals.
Before you can govern AI spend, you have to be able to govern cloud spend. FinOps leaders from global financial institutions share what it actually takes to build the operating model that makes cost governance work before AI spend demands it.
Weak tagging, broken allocation, and misaligned commitment strategies don't just waste money — they make AI ROI impossible to measure. Learn how to close the foundational gaps before AI spend turns a manageable problem into a business one.
The highest-leverage moment for AI ROI is the deployment pipeline, not the quarterly review. Engineering leaders share what it takes to move cost guardrails left of the bill — and build accountability into the architecture before it gets locked in.
Measuring AI spend isn't the finish line. The teams winning on AI ROI use cost visibility as a credential to move faster, not a brake to slow down. This session is about what happens when you can account for every token and what you actually do with that.