Why Join the Session
The conversation around AI has evolved from "Can we implement it?" to "How do we prove and scale its value?"
Join this session to explore:
- Measuring AI ROI beyond productivity metrics
- Managing token consumption, model costs, and AI financial transparency
- Building governance frameworks that balance innovation with accountability
- Creating operating models that connect AI investments to business outcomes
- Understanding what boards, CFOs, CIOs, and CDAOs now expect from AI programs
Key Discussion Topics
Boardroom Expectations: What executive leadership and boards now expect from AI leaders regarding accountability, governance, and measurable business impact.
Rethinking AI ROI: Why traditional investment frameworks are insufficient for modern AI programs and how leading organizations are measuring value differently.
Tokenomics and Cost Transparency: Understanding the economics of consumption-based AI, model utilization, and the emerging role of token-based accountability.
Financial Governance for AI: Creating oversight mechanisms that enable innovation while ensuring fiscal responsibility.
The Rise of Value-Oriented Operating Models: Building structures that connect AI investments to business outcomes, customer impact, and enterprise priorities.
Who Must Join this Conversation
This conversation is for you if you are:
- A CDAO, CIO, CFO, or CTO navigating AI investment decisions at enterprise scale
- A FinOps leader adapting cloud financial governance for AI-dominant workloads
- An enterprise architect or AI programme leader balancing innovation speed with financial accountability
- A technology strategist exploring outcome-based pricing and new AI economic models