Over the past year, organizations pushed for more AI adoption, often equating higher usage with better results. As agentic workflows scale and AI spend grows, a new question is emerging: are we measuring the right things?

Token minimization has surfaced as a countertrend, but both approaches focus on consumption rather than impact. Enter valuemaxxing, a mindset that challenges how developers and leaders think about AI success, efficiency and ROI.

Join us to explore what to measure instead and how to drive more value from AI beyond consumption.

You'll learn:

• Why AI usage alone is an unreliable indicator of success
• The metrics that matter most when evaluating AI investments and outcomes
• Why model orchestration matters more than model selection as AI becomes infrastructure