The missing layer in AI governance: capital before commitment.

Most AI risk conversations begin after capital has already moved. This one begins before.In this episode of the Trustworthy AI Podcast, I sit down with Ernest Nicholson, CEO of SKEET Global Services and Managing Principal of Zephyr IDP, to examine a question most boards and capital allocators are not yet asking: how do you de-risk an AI infrastructure deal before capital commits?Ernest brings three decades of watching capital move into infrastructure at the wrong moment, as a Presidential Appointee in the Clinton Administration, a Senior Executive at Halliburton KBR, and a platform builder at SKEET Global. His work with the AI Ethics Council, co-chaired by Sam Altman and John Hope Bryant, sharpened his conviction that AI governance has to start earlier and reach further, with the communities most exposed to poorly governed infrastructure treated as co-architects rather than stakeholders to be managed.We get into:•       The core thesis that risk is set before capital is deployed, not after, and what real de-risking looks like at that stage•       The six pillars of Zephyr IDP: Demand, Power and Entitlement, Counterparty, Technology, Capital Stack, and Community and Governance, and where most deals quietly fail•       Why Community and Governance, anchored in Agency and Ownership, belongs in the same room as Capital Stack and Counterparty risk•       The April 2026 submission of Zephyr IDP to the Basel Committee on Banking Supervision as a practitioner reference framework for AI Infrastructure Specialized Lending Governance, and why Basel risk weights change the math on the cost of debt•       Whether a board-reportable governance score can credibly function as a risk weight input for institutional lending, and where that bridge holds or breaks•       The four governance layers now forming in the public AI conversation, and the one question every board director should ask before approving a major AI infrastructure investmentA substantive, unscripted conversation about de-risking AI infrastructure at the point where capital moves.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website.Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.