Challenge Pitch – Guardrails as Code

Auftrag:

Standards provide the foundation (e.g., laws and norms). They are structured into frameworks, translated into guardrails, and finally implemented as code. This creates a clear path from abstract requirements to automated compliance.

flowchart LR
    Standards[Standards: DSGVO, AI Act, ISO 27001]
    Frameworks[Frameworks: ISO, NIST, Branchenstandards]
    Guardrails[Guardrails: Policies, Prozesse, Rollen, QGs]
    Code[Code: Policy as Code, Compliance as Code]

    Standards --> Frameworks --> Guardrails --> Code

• Probleme/ Herausforderungen

  • Fehlende Entwickler-Ressourcen
  • Fehlende durchgängige Guidelines Guardrails in CI/CD-Pipelines.
  • Compliance & Sicherheit ↔ Flexibilität & Dynamik schwer kombinierbar.
  • Unstrukturierte User Stories erschweren klare Steuerung.

  Problems/ Challenges

  • Missing Developer Ressources
  • Lack of continuous guidelines/guardrails in CI/CD pipelines.
  • Compliance & security ↔ flexibility & dynamism difficult to combine.
  • Unstructured user stories make clear governance difficult.

• Lösung

Prototyp in ChatGPT - Code als Modell - Wir haben Governance-Regeln als Richtlinien in ChatGPT entwickelt, um Guardrails in natürlicher Sprache und das technische Ökosystem für das Deployment zu gestalten

Prototyp in Chatgpt - code as a Model - We developped Governance Rules as Guidelines in ChatGPT to design Guardrails in natural language and the technical Ecosystem for Deployment

flowchart TB
    A[Prototyp in ChatGPT] --> B[Code als Modell]
    A --> C[Governance-Regeln als Richtlinien]
    C --> D[Guardrails in natürlicher Sprache]
    B --> E[Technisches Ökosystem]
    D --> E
    E --> F[Deployment]

The Results to implement next

• Guardrails as Code – direkt implementierbar in Pipelines.

• Harte Guardrails: Compliance & Security, fest im RAG-System verankert.

• Weiche Guardrails: KI-Memory + Natural Language Programming, adaptiv veränderbar.

• Lipok Framework: wandelt unstrukturierte User Stories in klare Epics.

• Run–Grow–Transform-Modell: Bewertungslogik mit Quality Gates.

• Governance Center in Notion: Transparente Reports, Dashboards, Status für Stakeholder.

• RAG-basierte Lösung: Integrierte Tests + Technical Notion Integration.

• Guardrails as Code – directly implementable in pipelines.

• Hard Guardrails: Compliance & Security, firmly anchored in the RAG system.

• Soft Guardrails: AI Memory + Natural Language Programming, adaptively modifiable.

• Lipok Framework: transforms unstructured user stories into clear epics.

• Run–Grow–Transform Model: evaluation logic with quality gates.

• Governance Center in Notion: transparent reports, dashboards, status for stakeholders.

• RAG-based Solution: integrated tests + Technical Notion Integration.

flowchart TB
    A[Guardrails as Code] --> B[Hard Guardrails]
    A --> C[Soft Guardrails]
    B --> D[RAG-based Solution]
    C --> D

    D --> E[Lipok Framework]
    E --> F[Run–Grow–Transform Model]
    F --> G[Governance Center in Notion]
    G --> H[Transparent Reports, Dashboards, Status]

    D --> I[Integrated Tests]
    I --> J[Technical Notion Integration]

Aktuell prüfbare und generierbare Artefakte

flowchart TB
    A[Zero Guardrails Memoryboard Artefakte]

    %% Top-Level
    A --> B[Top-Level Artefakte]
    A --> C[Governance und Compliance]
    A --> D[Corporate Identity und Communication]
    A --> E[Academy]
    A --> F[Projects]
    A --> G[Systems und CX Core]
    A --> H[Human KI Interaktions Framework]
    A --> I[Ecosystem]
    A --> J[Cross Border Trading]
    A --> K[Reports und Dashboards]

    %% Top-Level Artefakte Beispiele
    B --> B1[Master Matrix]
    B --> B2[Mini Card]
    B --> B3[3 Slide Deck]
    B --> B4[Executive Brief]

    %% Governance & Compliance
    C --> C1[Governance Guardrail Dokument]
    C --> C2[Compliance Matrix]
    C --> C3[Incident Playbook]

    %% Corporate Identity
    D --> D1[CI Framework mit 13 Sub Guardrails]
    D --> D2[Persona und Messaging Maps]
    D --> D3[Campaign Funnel Blueprints]

    %% Academy
    E --> E1[Curriculum Blueprint]
    E --> E2[Lernpfad Matrix]
    E --> E3[Lernpfad Gantt 2025]

    %% Projects
    F --> F1[Kickoff Deck]
    F --> F2[Onboarding Checkliste]
    F --> F3[Uebergabepaket C Level]

    %% Systems & CX Core
    G --> G1[KPI Mapping Sheets]
    G --> G2[WFM Dashboards]
    G --> G3[CX Core Scorecard]

    %% Human KI Framework
    H --> H1[Approval Logs QG HKI1]
    H --> H2[Feedback Formulare QG HKI2]
    H --> H3[Escalation Path QG HKI3]

    %% Ecosystem
    I --> I1[Account Canvas Templates]
    I --> I2[Partner Canvas Templates]
    I --> I3[Co Creation Workshop Kits]

    %% Cross Border Trading
    J --> J1[Sanctions und Export Control Checklist]
    J --> J2[Customs Classification Matrix]
    J --> J3[Payment und FX Risk Sheets]

    %% Reports & Dashboards
    K --> K1[Weekly Report]
    K --> K2[Quarterly Report]
    K --> K3[Yearly Annual Report]
    K --> K4[Rolling Dashboard 2025 2026]

• Business & IT Impact

  • Business Value: Transparente Mensch–KI-Zusammenarbeit, Compliance, Governance.
  • IT Value: Automatisierte Tests, nahtlose Deployments, klare Doku & Tutorials.
  • Nachweis: OK Cases (funktionierende Tests) & NOK Cases (Identifikation von Potenzialen).

  Business & IT Impact

  • Business Value: Transparent human-AI collaboration, compliance, governance.
  • IT Value: Automated tests, seamless deployments, clear documentation & tutorials.
  • Verification: OK cases (functioning tests) & NOK cases (identification of potential improvements).

  Compliance to AI Development, Oecd Ethics Standards etc

• Next Steps

  • Guardrails auch als ChatGPT-5 Guidelines verfügbar machen zum teilen
  • Aufbau von branchen- & unternehmensspezifischen Code Libraries.
  • Trainings für Stakeholder zur vertrauenswürdigen KI-Kollaboration.
  • Ausbau des Frameworks als Standard für Run–Grow–Transform in Pipelines.

  Make guardrails available as ChatGPT-5 Guidelines.

  • Guardrails, guzidleines as ChatGPT-5 Guidelines available to share
  • Development of industry- & company-specific code libraries.
  • Trainings for stakeholders on trustworthy AI collaboration.
  • Expansion of the framework as a standard for Run–Grow–Transform in pipelines.

flowchart LR
  Q[User Query] --> RAG[Retrieval Layer]
  RAG --> G[Zero-Guard Policies]
  G --> H{HITL/Eskalation?}
  H -->|Ja| M[Mensch prüft]
  H -->|Nein| O[Notion Command Center]
  M --> O
  O --> L[Audit Log + Dashboard]