Riyadh Air – Building the Enterprise Data & AI Trust Layer

Building the Enterprise Data & AI Trust Layer for Riyadh Air

Problem

• Immediate NDMO regulatory exposure across 14 domains
• Rapid expansion increasing enterprise data sprawl
• AI initiatives lacking governed trust foundation
• No centralized policy-driven authority

Approach

• Designing enterprise Data & AI Trust operating model
• Drafting foundational P1 governance frameworks
• Launching controlled customer data pilot
• Integrating unified Trust Layer architecture

Current Impact (Feb 2026)

• Core governance authority structures drafted for approval
• Initial customer data trust pilot underway
• Consolidated P1 policy framework mapped to domains
• Active data quality remediation establishing baseline

Benefits

• Structured progression toward NDMO compliance
• Reduced scale risk before enterprise rollout
• Controlled foundation for AI enablement
• Embedded enterprise trust architecture