SHI International joins Tokenomics Foundation as founding member
SHI International joins the Tokenomics Foundation as a founding member to drive standards for AI value management. The $16 billion tech provider will collaborate on frameworks for token consumption and ROI visibility. This aligns with its Premier membership in the FinOps Foundation.

*this image is generated using AI for illustrative purposes only.
SHI International, a global technology solutions provider, has joined the Tokenomics Foundation as a founding member. The company announced the partnership on Aug. 04, 2026, signaling its commitment to shaping industry standards for AI value management. As organizations scale generative AI and agentic applications, there is increasing pressure to demonstrate return on investment while maintaining visibility into usage and costs. Without clear frameworks for understanding how AI resources are consumed, businesses risk rising costs and fragmented oversight. SHI’s participation aims to address these challenges by collaborating with other industry leaders to define best practices for responsible and efficient AI adoption.
The Tokenomics Foundation, hosted by the Linux Foundation, brings together technology providers to establish common frameworks for token production, token consumption, and AI value management. As a founding member, SHI will work alongside other ecosystem participants to create neutral, community-built disciplines that support business-aligned AI strategies. This collaboration allows organizations to move from experimental AI use to scaled operations with greater confidence in cost efficiency and governance.
Shane Cronin, Head of FinOps & ITAM Services at SHI, emphasized the critical nature of understanding token consumption in driving cost and business value. He stated that strong governance requires collaboration across IT Asset Management, FinOps, and AI economics. SHI aims to help customers turn AI adoption into measurable business outcomes while contributing to the evolution of this emerging discipline.
J.R. Storment, Executive Director of the Tokenomics Foundation, highlighted SHI’s depth of customer and practitioner experience. He noted that SHI is already a key voice in the technology value community through its involvement with the FinOps Foundation and ITAM Forum. The foundation expects SHI’s insights to aid in defining AI value management practices that help organizations measure value from AI spend effectively.
Strategic Context
SHI International is also a Premier member of the FinOps Foundation, which is also hosted by the Linux Foundation. The Tokenomics Foundation applies a similar open, collaborative approach to developing standards specifically for AI value management. This dual membership reinforces SHI’s position as a trusted partner for organizations navigating their AI journey. By participating in these bodies, SHI seeks to help clients cut through complexity and make informed technology decisions.
| Organization | Role | Focus Area |
|---|---|---|
| Tokenomics Foundation | Founding Member | AI value management, token consumption |
| FinOps Foundation | Premier Member | Cloud financial management |
| ITAM Forum | Member | IT Asset Management |
What the Numbers Show
SHI International operates as a $16 billion transformational technology solutions provider. The company serves more than 17,000 corporate, enterprise, public sector, and academic customer organizations globally. With over 7,000 employees worldwide, SHI is the largest Minority and Woman Owned Business Enterprise (MWBE) in the U.S. Its portfolio includes software licensing, end-user computing devices, cloud, and edge solutions. The scale of its customer base underscores the relevance of standardized AI value management frameworks for enterprises of all sizes.
How might the Tokenomics Foundation's emerging standards influence enterprise procurement strategies for generative AI tools in the coming fiscal year?
What specific metrics will SHI and the foundation prioritize to quantify 'AI value' beyond simple token consumption costs?
Could the integration of FinOps principles with AI tokenomics create new regulatory compliance requirements for multinational corporations?
























