Planning & Strategy (PS) Principles

Enterprise Architecture principles for strategic AI tool adoption and operations planning.

Category Overview

flowchart TB
    subgraph Strategic["STRATEGIC LAYER"]
        BS["Business Strategy"] --> ATS["AI Tool Strategy"] --> OP["Operations Plan"]
    end

    subgraph Operations["OPERATIONS PLANNING LAYER"]
        TS["Tool Selection"] --> PM["Permission Model"] --> GS["Governance Setup"]
    end

    subgraph Principles["PS PRINCIPLES"]
        PS001["PS-001: Operations Planning<br/><i>Plan before AI tool adoption</i>"]
        PS002["PS-002: Strategic Integration<br/><i>Align AI with business goals</i>"]
        PS003["PS-003: Risk-Based Planning<br/><i>Assess AI risks upfront</i>"]
        PS004["PS-004: Structured Prompting<br/><i>Standardize AI interactions</i>"]
    end

    Strategic --> Operations
    Operations --> Principles

Key Concerns:

• AI tool operations planning before adoption
• Executive sponsorship and strategic alignment
• Permission and governance model definition
• Prompt engineering standards and governance

Principles in This Category

Relationship to Other Categories

flowchart TB
    GSC["GSC: Governance<br/>Security & Compliance<br/><i>Governance feeds strategy</i>"]

    GSC --> PS

    TSI["TSI: Tool Selection<br/><i>Strategy drives tool selection</i>"]
    PS["PS: Planning &<br/>Strategy<br/><i>Foundation for all AI initiatives</i>"]
    DC["DC: Development<br/>& Coding<br/><i>Strategy guides dev practices</i>"]

    PS --> TSI
    PS --> DC
    PS --> TTA

    TTA["TTA: Training &<br/>Adoption<br/><i>Strategy informs training needs</i>"]

PS-001: Operations Planning

Statement

Plan AI tool operations, permissions, and governance models before adopting AI development tools.

Rationale

Implications

flowchart TB
    subgraph Phase1["PHASE 1: CAPABILITY ASSESSMENT"]
        P1A["Identify AI tools under consideration"]
        P1B["Document tool capabilities (completion, chat, agent)"]
        P1C["Assess permission requirements for each tool"]
        P1D["Evaluate sandboxing and isolation support"]
    end

    subgraph Phase2["PHASE 2: PERMISSION MODEL DESIGN"]
        P2A["Define file system access boundaries (workspace only)"]
        P2B["Define terminal execution policies"]
        P2C["Define git operation restrictions"]
        P2D["Define data exposure classifications"]
    end

    subgraph Phase3["PHASE 3: GOVERNANCE SETUP"]
        P3A["Establish approval workflows"]
        P3B["Define audit and logging requirements"]
        P3C["Create training requirements"]
        P3D["Set up monitoring and compliance reporting"]
    end

    Phase1 --> Phase2
    Phase2 --> Phase3

Maturity Alignment

Governance

Compliance Measures

• Operations plan documented for each AI tool
• Permission model defined and approved
• Governance setup completed before rollout
• Training requirements identified and scheduled
• Monitoring and audit capabilities configured

Exception Process

Related Principles

• GSC-002: Permission Boundaries (operations define permissions)
• GSC-003: Sandboxing & Isolation (operations define isolation)
• TSI-001: Evaluation Framework (operations inform evaluation)
• GSC-001: Governance Framework (operations support governance)

PS-002: Strategic Integration

Statement

Align AI tool adoption with business strategy and ensure executive sponsorship for AI initiatives.

Rationale

Implications

flowchart TB
    subgraph Sponsorship["EXECUTIVE SPONSORSHIP"]
        Advocate["Advocate"] --> Clear["Clear Roadblocks"] --> Secure["Secure Resources"]
        Advocate --> Communicate["Communicate Value"]
        Secure --> Measure["Measure KPIs"]
        Communicate <--> Measure
    end

    subgraph Lifecycle["AI ADOPTION LIFECYCLE"]
        direction LR
        Strategy["Strategy"] --> Pilot["Pilot"] --> Validate["Validate"] --> Scale["Scale"] --> Optimize["Optimize"]
    end

    Sponsorship --> Lifecycle

Executive Oversight Throughout all lifecycle phases

Maturity Alignment

Governance

Compliance Measures

• AI strategy documented and approved by leadership
• Executive sponsor identified and actively engaged
• Business KPIs defined for AI initiatives
• Regular progress reviews conducted
• ROI measured and reported

Exception Process

Related Principles

• TSI-001: Evaluation Framework (strategic criteria for tools)
• TTA-002: Adoption Governance (organizational readiness)
• GSC-001: Governance Framework (compliance alignment)

PS-003: Risk-Based Planning

Statement

Assess AI-specific risks during project planning and establish mitigation strategies before implementation.

Rationale

Implications

AI Risk Categories

flowchart LR
    subgraph Response["RISK RESPONSE STRATEGIES"]
        Avoid["Avoid<br/><i>Don't use AI for this task</i>"]
        Transfer["Transfer<br/><i>Insurance or vendor SLAs</i>"]
        Mitigate["Mitigate<br/><i>Controls and gates</i>"]
        Accept["Accept<br/><i>Document rationale</i>"]

        Avoid --> Transfer --> Mitigate --> Accept
    end

Maturity Alignment

Governance

Compliance Measures

• AI risk assessment completed for each project
• Risk mitigation strategies documented
• Risk acceptance documented with approval
• Risk register maintained and reviewed
• Incidents analyzed for risk pattern updates

Exception Process

Related Principles

• TQC-002: Security Practices — security risk mitigation
• GSC-002: Permission Boundaries — compliance risk
• DM-002: Observability First — operational risk monitoring

PS-004: Structured Prompting

Statement

Establish and maintain standardized prompt engineering practices with version control and governance.

Rationale

Implications

flowchart LR
    subgraph Development["PROMPT DEVELOPMENT"]
        Draft["Draft<br/><i>Template structure</i>"]
        Test["Test<br/><i>Sample outputs</i>"]
        Validate["Validate<br/><i>Quality metrics</i>"]
        Version["Version<br/><i>Git/VCS tracking</i>"]
        Deploy["Deploy<br/><i>Prompt library</i>"]

        Draft --> Test --> Validate --> Version --> Deploy
    end

Prompt Library Structure

├── prompts/
│   ├── code_generation/
│   ├── code_review/
│   ├── testing/
│   ├── documentation/
│   └── templates/

Maturity Alignment

Governance

Compliance Measures

• Prompts stored in version control
• Prompt templates exist for common use cases
• Production prompts reviewed and approved
• Prompt effectiveness tracked and measured
• Prompt updates follow change management

Exception Process

Related Principles

• DC-002: Prompt Engineering (detailed prompt practices)
• DC-001: AI-Human Collaboration (prompts guide collaboration)
• TTA-001: Skills Development (prompt engineering training)

Category Summary

Principle Matrix

Legend: Requirements increase with maturity level

Key Takeaways

1. Design before generate - Architecture documentation is prerequisite to AI code generation
2. Strategic alignment is mandatory - AI initiatives must connect to business objectives
3. Assess risks proactively - AI-specific risks require explicit assessment
4. Treat prompts as code - Version control, testing, and governance apply to prompts
5. Executive sponsorship matters - Sustained AI success requires leadership commitment

Next Steps

License