Frameworks¶

Actionable frameworks extracted from each chapter of Blueprint for an AI-First Company. Each framework is a standalone reference you can use immediately.

flowchart TB
    subgraph Strategy["Strategy and Positioning"]
        S1["AI-First vs AI-Enabled"]
        S2["Build vs Buy Calculus"]
        S3["10 Principles of AI-First"]
        S4["7 Mental Models"]
    end

    subgraph Building["Building and Technical"]
        B1["Foundation Models"]
        B2["6 Questions for Model Selection"]
        B3["8 Patterns for AI Coding"]
        B4["7 Failure Modes of Agents"]
        B5["5 Infrastructure Mistakes"]
    end

    subgraph Data["Data and Competitive Advantage"]
        D1["Data Flywheel"]
        D2["Data Moats"]
        D3["6 Data Strategy Mistakes"]
    end

    subgraph Operations["Operations and Teams"]
        O1["Automation vs Augmentation"]
        O2["Human-AI Collaboration"]
        O3["8 GTM Mistakes with AI"]
        O4["90-Day AI Fluency Program"]
    end

    subgraph Governance["Governance and Risk"]
        G1["Permission Model"]
        G2["AI Governance"]
        G3["7 AI Risks and Mitigations"]
        G4["Probabilistic AI"]
    end

    Strategy --> Building
    Strategy --> Data
    Building --> Operations
    Data --> Operations
    Operations --> Governance
    Building --> Governance

    classDef strategyNode fill:#1e6fa5,stroke:#155a85,color:#fff
    classDef buildingNode fill:#7345b0,stroke:#5b3590,color:#fff
    classDef dataNode fill:#1a8a52,stroke:#14693e,color:#fff
    classDef opsNode fill:#c77d0a,stroke:#a06508,color:#fff
    classDef govNode fill:#c03030,stroke:#9a2020,color:#fff

    class S1,S2,S3,S4 strategyNode
    class B1,B2,B3,B4,B5 buildingNode
    class D1,D2,D3 dataNode
    class O1,O2,O3,O4 opsNode
    class G1,G2,G3,G4 govNode

    style Strategy fill:#5a6270,stroke:#155a85,color:#fff
    style Building fill:#5a6270,stroke:#5b3590,color:#fff
    style Data fill:#5a6270,stroke:#14693e,color:#fff
    style Operations fill:#5a6270,stroke:#a06508,color:#fff
    style Governance fill:#5a6270,stroke:#9a2020,color:#fff

All Frameworks¶

Framework	Source Chapter	Use When...
AI-First vs AI-Enabled	Ch 1: The AI-First Imperative	Determining whether your company should be built on AI or with AI
7 Mental Models of AI-First	Ch 2: The AI-First Mindset	Adopting the thinking patterns that define AI-first leadership
Probabilistic AI	Ch 2: The AI-First Mindset	Designing products and processes that embrace uncertainty
Build vs Buy Calculus	Ch 2: The AI-First Mindset	Deciding whether to buy, boost, or build AI capabilities
Human-AI Collaboration	Ch 2: The AI-First Mindset	Designing workflows where humans and AI are genuinely additive
Foundation Models	Ch 3: The AI Landscape	Understanding the model landscape and choosing between providers
6 Questions Before Choosing a Model	Ch 3: The AI Landscape	Evaluating and selecting AI models for your use case
5 Infrastructure Mistakes	Ch 4: Infrastructure	Auditing your AI infrastructure for common failure patterns
8 Patterns for AI Coding	Ch 5: Building with AI	Writing effective prompts and working with AI coding tools
7 Failure Modes of Agents	Ch 6: Agent Architecture	Designing resilient AI agents and preventing common failures
90-Day AI Fluency Program	Ch 8: Teams	Rolling out AI fluency training across your organization
Data Flywheel	Ch 9: Data Strategy	Building self-reinforcing data loops that compound over time
Data Moats	Ch 9: Data Strategy	Assessing whether your data creates defensible advantages
6 Data Strategy Mistakes	Ch 9: Data Strategy	Avoiding mistakes that stall your data flywheel
Automation vs Augmentation	Ch 10: Operations & GTM	Deciding where AI should automate vs augment human work
8 GTM Mistakes with AI	Ch 10: Operations & GTM	Avoiding go-to-market mistakes when deploying AI
Permission Model Framework	Ch 11: Ethics & Governance	Setting appropriate autonomy levels for AI systems
AI Governance Framework	Ch 11: Ethics & Governance	Building governance structures that enable rather than block
7 AI Risks and Mitigations	Ch 11: Ethics & Governance	Identifying and mitigating the top AI risks
10 Principles of AI-First	Ch 12: Staying Ahead	Applying enduring principles as AI technology evolves