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WAIKANDA

Executive diagnostic

AI Sovereignty Assessment

Eighteen questions across six dimensions. Five minutes. You receive an indicative maturity stage and the actions that typically come next.

0 of 18 answered0%
  1. Is there a documented AI strategy tied to business objectives?

    01 · Leadership and strategy

    Is there a documented AI strategy tied to business objectives?

  2. Does a named executive own AI outcomes and budget?

    02 · Leadership and strategy

    Does a named executive own AI outcomes and budget?

  3. Are AI investments evaluated against a financial business case?

    03 · Leadership and strategy

    Are AI investments evaluated against a financial business case?

  4. Is critical business data consolidated, accessible, and documented?

    04 · Data readiness

    Is critical business data consolidated, accessible, and documented?

  5. Are data quality and ownership formally managed?

    05 · Data readiness

    Are data quality and ownership formally managed?

  6. Can teams securely connect data to AI systems without ad hoc workarounds?

    06 · Data readiness

    Can teams securely connect data to AI systems without ad hoc workarounds?

  7. Is there an approved platform and pattern for deploying AI systems?

    07 · Technology architecture

    Is there an approved platform and pattern for deploying AI systems?

  8. Are AI systems integrated into core operational software?

    08 · Technology architecture

    Are AI systems integrated into core operational software?

  9. Is there monitoring and observability for deployed AI?

    09 · Technology architecture

    Is there monitoring and observability for deployed AI?

  10. Have AI workflows reached production with real users?

    10 · Workflow adoption

    Have AI workflows reached production with real users?

  11. Are outcomes measured against a documented pre-AI baseline?

    11 · Workflow adoption

    Are outcomes measured against a documented pre-AI baseline?

  12. Is there a managed pipeline of prioritized use cases?

    12 · Workflow adoption

    Is there a managed pipeline of prioritized use cases?

  13. Is there an approved AI policy covering acceptable use and human oversight?

    13 · Governance and risk

    Is there an approved AI policy covering acceptable use and human oversight?

  14. Are AI systems reviewed for bias, security, and regulatory exposure?

    14 · Governance and risk

    Are AI systems reviewed for bias, security, and regulatory exposure?

  15. Is there an incident process and audit trail for AI decisions?

    15 · Governance and risk

    Is there an incident process and audit trail for AI decisions?

  16. Do staff receive role-specific AI training?

    16 · Workforce capability

    Do staff receive role-specific AI training?

  17. Are roles and job design being updated as workflows change?

    17 · Workforce capability

    Are roles and job design being updated as workflows change?

  18. Is internal technical capability being built rather than fully outsourced?

    18 · Workforce capability

    Is internal technical capability being built rather than fully outsourced?

Answer all 18 questions to generate a result.