Resources & Insights

Executive frameworks, research, and analysis on innovation governance, AI oversight, and board effectiveness.

Executive Frameworks

Download our proprietary playbooks and assessment frameworks.

The AI Governance & Fiduciary Playbook

Navigating the Committee Question, Autonomy Creep, and Architecture as Strategy

A comprehensive guide for board members and the C-Suite to navigate the legal, structural, and fiduciary liabilities of enterprise AI deployment.

The Neuro-Symbolic AI Assessment Framework

Technical Architectures for Board-Level Oversight and Antifragility

An advanced technical breakdown for risk officers detailing how neuro-symbolic architectures bridge neural networks and symbolic logic for C2PA compliance.

The AI & Climate Disclosure Nexus

Exposing the Compute Disclosure Gap and Carbon Footprint Complexities

An executive brief for ESG and Sustainability Committees highlighting the massive blind spot companies have regarding the carbon footprint of third-party AI models.

The Meta-Evaluation of LLMs Playbook

Capabilities, Forgetting, and the Henhouse Problem

A deep dive into the paradox of using AI to evaluate AI, highlighting structural risks in capability testing and the illusion of LLM cognitive progress.

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Recent Publications

Topics Covered

AI Governance

Board oversight of artificial intelligence risk and opportunity

Innovation Committees

Structure and operation of Disruption Innovation Committees

Sensemaking

How boards interpret weak signals and emerging disruptions

Fiduciary Duty

Legal obligations in technology oversight

Real Options

Valuing flexibility in innovation investments

Sector Analysis

Industry-specific governance challenges

Ready to go deeper?

When the question feels relevant to your board, the 75-question diagnostic maps innovation governance maturity across five pillars.

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