Resources for High‑Stakes AI Decisions
Tools, frameworks, and analysis used when AI systems move beyond experimentation and into environments where governance, accountability, and real‑world behavior materially matter.
Curated resources · Open frameworks · Applied across real deployment contexts
Open Frameworks
Built from practice, not theory
Each framework below was developed through direct work with organizations navigating real AI deployment decisions. They are freely available because the problems they address are too consequential to gate behind a paywall.
PDF · 12 pages
The BRIDGE Framework
Mapping Organizational Readiness to AI Execution
A diagnostic framework for evaluating organizational AI readiness across six critical dimensions. Used when the question is not whether to adopt AI, but whether the organization can absorb it without creating more risk than value.
Developed through direct engagement with enterprises where AI initiatives stalled — not from technical failure, but from institutional unreadiness that no one had a language for.
PDF · 8 pages
The 7 Categories of AI
Enterprise Decision Guide
A visual framework for categorizing AI investments across seven distinct capability domains. Built for leaders who need to map their AI portfolio, identify gaps, and make allocation decisions with clarity — not with vendor slide decks.
Created because most enterprise AI conversations collapse the entire field into 'machine learning' or 'generative AI,' which makes strategic planning impossible.
Interactive Assessment
AI Sovereignty Readiness Score™
This interactive scorecard translates the sovereignty framework into a guided diagnostic that leaders can use in live working sessions, workshops, and article discussions. It surfaces where an organization stands across compute, data jurisdiction, model ownership, governance capability, and infrastructure portability.
The assessment now has a public URL, which makes it usable in the resources library and easy to embed from external editorial surfaces such as the AI sovereignty article in Notion once the site deployment updates.
What it enables
The scorecard gives the article a practical companion asset, allowing readers to move from argument to self-assessment.
It also turns the resources page into a destination for live decision support, not only static downloads.
For additional framing, pair it with the analysis published in Insights.
From self‑service orientation to applied decision‑making
Applied Context
These frameworks were not written in isolation
They were developed through direct engagement with organizations navigating AI deployment — from governance design to readiness assessment to post-deployment accountability. The work behind them informs the analysis published in Insights and the conversations that happen in speaking engagements.
In Development
Additional resources are being built
Assessment toolkits, governance templates, recorded workshops, and structured courses are in active development — each grounded in the same applied methodology behind the frameworks above.
To be notified when these resources are released or piloted, leave your email below.
Custom Decision Support
Context‑specific analysis and tooling
In some cases, organizations require analysis or tooling not addressed by existing frameworks — governance structures tailored to specific regulatory environments, readiness assessments calibrated to organizational complexity, or strategic advisory grounded in technical depth.
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