Working Materials

Selected Research & Framework Artifacts

Working materials from ongoing AI adoption and governance research.

These documents represent in-progress frameworks, not polished products. They are shared selectively to support executive-level conversations.

Executive Orientation

Start here for a concise system overview

Executive Orientation

AI Adoption System - Executive Vision Brief

A concise overview of the four-component system (Discovery, Capability, Governance, Expertise) and why skipping any one leads to predictable failure.

Core Adoption & Governance Frameworks

Methodology components addressing capability, governance, and communication

Capability Model

Evolution Ladder - Human-AI Capability Progression

A five-stage model showing how humans progress from prompting AI to governing autonomous systems - and why most organizations stall at Stage 1.

Executive Communication

Executive Keynote Outline

A 30-minute executive briefing framing why 40% of AI initiatives fail - and what distinguishes the 60% that succeed.

Research Foundation

Research Agenda Proposal

The research program underlying this work - why AI adoption failure happens after strategy approval, not before.

Market & Platform Diagnosis

Analyst-grade research on enterprise AI adoption patterns

Market Diagnosis

AI Platform Strategy: Why 40% of Investments Fail

An analyst-style research note examining why enterprise AI platform initiatives stall - and why governance, audit depth, and staged autonomy matter more than vendor capability.

Additional Working Papers

Additional materials - including governance intervention guides, regulatory compliance mapping, value measurement methodology, and strategic scenario analysis - are shared selectively in private conversations.

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These artifacts are not products. They are thinking tools.
If something here resonates, the right next step is a conversation.