Concepts
The lexicon of AI transformation. Each entry is the canonical definition of one idea, cross-linked throughout the wiki.
The Concepts section is the dictionary of this wiki. Each recurring idea in AI transformation has one home here: what the work produces, what makes an operation durable, and what genuinely moves the value of a company. Other sections link into these pages; concepts link to each other; nothing redefines a term that already lives here.
How the lexicon is shaped
- One entry per idea. A concept page tells you what a thing is. An argument about how to use it lives in Perspectives.
- Honest, not promotional. A concept page is the neutral definition, hype stripped out.
The core concepts
- AI Transformation Is Digital Transformation, Accelerated: the same destination, turbocharged by AI. Why most businesses are flying blind, and what the transformation arc actually builds.
- The Agentic Business Blueprint: the discovery process that maps your real opportunities.
- The Organizational Truth Repo: the checked-in source of truth that makes your AI company-aware.
- Agent Opportunity Analysis: how to rank where AI is actually worth applying.
- Own the Substrate: controlling the AI your business depends on.
- Data Is Not Information: why data-rich companies are still decision-poor.
- Documentation Equals Transferability: why written-down operations are durable ones.
- SOPs as an Asset: process documentation as real enterprise value.
- Owner Dependence: the structural cap when leverage lives in one person's head.
- The AI Valuation Premium: what genuinely embedded AI is worth.
- The Transformation Flood: the wave of partners coming, and how to read it.
Where to start
- New to this: read Foundations first, then come back here.
- Looking up a term fast: try the Glossary.
Further Reading
- Foundations the groundwork before the lexicon
- Perspectives the opinionated takes that build on these concepts