RS-09: Responsible AI for ICT: From Tool Use to Governed Productivity at Scale

How this disrupts the business model (ICT lens)

·        Creates new revenue lines (platforms/APIs/managed services) or protects margin (FinOps, cost‑to‑serve visibility).

·        Shifts transformation from one‑off projects to productised, repeatable operating rhythms.

·        Strengthens trust as a differentiator (governance, resilience, compliance‑by‑design).

What changes in the operating model

·        Role‑based training increases confidence and reduces unsafe usage

·        Governance aligns AI use with risk appetite and customer commitments

·        Adoption metrics track productivity, quality, and policy compliance

Expected value

·        Faster delivery and support workflows with higher consistency

·        Reduced risk of data leakage or policy violations

·        Enables new AI‑enabled managed services and differentiated offers

GCC localisation notes (fill in)

·        [INSERT: data residency / regulatory considerations]

·        [INSERT: Arabic/English support and content needs]

·        [INSERT: procurement and vendor onboarding requirements]

References (supporting frameworks/sources)

·        NIST AI RMF 1.0: https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf

LINKS → Use Case: UC-05: AI Literacy & Certification Programme | Services: SVC-03: Technology Innovation & GTM /SVC-05: Artificial Intelligence