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Question Bank v1.0-promo-demo

Al Noor Bank Demo Bank

Jump to pillarStrategy & Vision5Data Foundations5Technology & Infrastructure5Talent & Skills5Culture & Change Readiness5Governance, Ethics & Compliance5Operations & Use Case Portfolio5Model Management & Monitoring5

Strategy & Vision0/5 verified
5

الاستراتيجية والرؤية

  1. Q1
    L1
    Our organization has a documented AI strategy with a named executive sponsor and approved budget.
  2. Q2
    L1
    AI use cases are prioritized against business value and risk on a regular cadence.
  3. Q3
    L1
    The AI strategy is aligned with the organization's broader digital transformation and national AI goals.
    AI proposed
  4. Q4
    L1
    Board-level reviews of AI progress happen at least quarterly.
  5. Q5
    L1
    The organization benchmarks its AI maturity against regional peers.

Data Foundations0/5 verified
5

أسس البيانات

  1. Q1
    L1
    Data quality is measured with defined KPIs across critical sources.
  2. Q2
    L1
    Data ownership is clearly assigned through a data steward model.
  3. Q3
    L1
    Sensitive data is classified and protected according to policy and regulation.
  4. Q4
    L1
    Data lineage from source systems to AI model inputs is documented and traceable.
  5. Q5
    L1
    The organization has defined controls against 'shadow AI' (staff using unapproved AI tools on work data).

Technology & Infrastructure0/5 verified
5

التكنولوجيا والبنية التحتية

  1. Q1
    L1
    AI workloads run on approved cloud infrastructure with data sovereignty controls.
  2. Q2
    L1
    A formal AI tool approval process governs which tools staff may use.
  3. Q3
    L1
    MLOps practices (CI/CD, versioning, monitoring) are in place for production AI.
  4. Q4
    L1
    A sandbox environment exists for safe AI experimentation.
  5. Q5
    L1
    Infrastructure can scale to support AI workloads without procurement delays.

Talent & Skills0/5 verified
5

المواهب والمهارات

  1. Q1
    L1
    Staff at all levels have completed AI awareness training.
  2. Q2
    L1
    Role-based AI learning paths exist for technical and business roles.
  3. Q3
    L1
    The organization has a named AI centre of excellence or equivalent.
  4. Q4
    L1
    Hiring pipelines explicitly include AI/ML skills for relevant roles.
  5. Q5
    L1
    Employee sentiment on AI adoption is regularly surveyed.

Culture & Change Readiness0/5 verified
5

الثقافة والاستعداد للتغيير

  1. Q1
    L1
    Leadership communicates AI vision and progress regularly to all staff.
  2. Q2
    L1
    The organization celebrates AI wins and learns publicly from failures.
  3. Q3
    L1
    Cross-functional teams collaborate on AI projects without silos.
  4. Q4
    L1
    Change management accompanies every major AI rollout.
  5. Q5
    L1
    Employees feel empowered to propose AI use cases from the ground up.

Governance, Ethics & Compliance0/5 verified
5

الحوكمة والأخلاقيات والامتثال

  1. Q1
    L1
    An AI governance committee is formally chartered with defined membership and cadence.
  2. Q2
    L1
    An acceptable-use policy for AI tools is published and acknowledged by staff.
  3. Q3
    L1
    AI systems are audited for compliance with applicable regulations.
  4. Q4
    L1
    An incident response playbook covers AI-specific scenarios.
  5. Q5
    L1
    Third-party AI tools are vetted against security, privacy, and ethics criteria.

Operations & Use Case Portfolio0/5 verified
5

العمليات ومحفظة حالات الاستخدام

  1. Q1
    L1
    A central inventory lists all AI use cases with status, owner, and business value.
  2. Q2
    L1
    ROI is measured and reported for production AI use cases.
  3. Q3
    L1
    Failed pilots are retired on a defined timeline with lessons captured.
  4. Q4
    L1
    AI use cases are mapped to specific business outcomes or KPIs.
  5. Q5
    L1
    Cross-department AI portfolio reviews happen at least biannually.

Model Management & Monitoring0/5 verified
5

إدارة النماذج والمراقبة

  1. Q1
    L1
    All production models are versioned and tracked in a model registry.
  2. Q2
    L1
    Model performance (accuracy, drift, bias) is continuously monitored.
  3. Q3
    L1
    Human review is mandatory for high-stakes model decisions.
  4. Q4
    L1
    Models undergo periodic fairness and bias testing.
  5. Q5
    L1
    A retirement process removes stale or underperforming models from production.

Author with AI

Describe what you want to ask in plain English; the AI drafts a fully-formed bilingual question anchored to a published framework (UAE PDPL, SDAIA NDGF, ISO 42001, NIST AI RMF, OECD AI Principles). Drafts are inserted as inactive for human review before going live.

Drafts insert at the end of the pillar. Review the question, edit if needed, then activate.

CSV bulk import

Required columns: pillar_id, question_number, question_text_en, question_text_ar, question_type. Optional: options_en, options_ar, score_map, help_text_en, help_text_ar, region, sector, layer, display_order. JSON fields accept valid JSON or empty.

Add question

Layer 1 = client-facing. Layer 2 = consultant guide (never shown to client). For multiple choice / yes-no, enter options and score_map as JSON.