Governance frameworks built from public doctrine, not consulting opinion.
Every white paper, playbook excerpt, and governance framework in the Touch Stone Research Library traces its argument to a named public source before it reaches a board-level reader.
AI Oversight & Board Governance
3 PapersBoard of Directors: AI Governance and Fiduciary Duty
What the Caremark standard requires of boards governing AI systems. How Delaware oversight doctrine applies to AI decision-making. What the board record must contain before the enforcement question arrives.
The Four-Pillar AI Governance Framework
The complete Touch Stone AI governance operating model: Board Oversight, Executive Accountability, Evidence Discipline, and ROI Measurement. How the four pillars connect into one system.
The Chairman's Briefing on AI Governance
The board-level proof of concept document. Structured across six governance domains: oversight, accountability, legal control, workforce trust, productivity capture, and ROI measurement.
Decision Rights & Accountability
3 PapersCIO/CTO: AI Governance and Technical Oversight
What technical oversight of AI systems requires at the board-visible level. How to separate technical accountability from business accountability. What the CIO and CTO own that cannot be delegated.
COO: AI Governance and Operational Control
How AI deployment changes operational control requirements. What containment architecture the COO must own before AI enters production. How to build an operational governance record the board can verify.
The Single Owner Protocol: Assigning AI Decision Rights
The Touch Stone framework for eliminating shared accountability in AI governance. How to assign a single named owner to every consequential AI decision. What happens when ownership is ambiguous.
Evidence Discipline & Disclosure
2 PapersCFO: AI Governance and Cost of Inaction
What the SEC AI-claim enforcement record means for financial disclosure. How to calculate the governance liability of delayed AI oversight. What the CFO must document before the auditor asks for the record.
CRO: AI Governance and Regulatory Exposure
How the EU AI Act, NIST AI RMF, and SEC enforcement create intersecting regulatory exposure for organizations deploying AI. What the CRO must map before cross-border AI governance questions arrive.
Workforce Trust & AI Adoption
2 PapersCHRO: AI Governance and Human Capital Risk
What AI adoption does to the implicit employment contract. How the CHRO governs workforce trust during AI deployment. What communication architecture prevents the trust collapse that precedes talent flight.
The Workforce Trust Framework: AI Adoption Without Loyalty Collapse
The Touch Stone framework for maintaining workforce trust during accelerated AI adoption. Communication sequencing, transparency thresholds, and the governance signals employees need before they decide to leave.
ROI & Value Measurement
2 PapersProfitable AI Governance: What Board-Visible ROI Actually Requires
The difference between AI spending momentum and verified AI value. What the board must be able to see, ask, and evidence before any ROI claim holds under scrutiny. The evidence standard the SEC has already established.
The AI Governance Playbook: Productivity Capture and Measurement
How to document AI-driven productivity so it survives a board audit, an investor question, and a regulator inquiry. The measurement architecture that separates verified productivity from productivity theater.
New research releases before public posting.
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