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May 20, 2026

Building the Enterprise Data & AI Trust Layer

NDMO Compliance & AI-Ready Data Infrastructure for Riyadh Air

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Hosted By:
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Mark Rowan

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

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May 20, 2026

Building the Enterprise Data & AI Trust Layer

NDMO Compliance & AI-Ready Data Infrastructure for Riyadh Air

play icon
Date:
Hosted By:
Register Now

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

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Data & AI Trust

A practical enterprise framework for trustworthy AI adoption—focused on AI data governance, privacy/compliance, enterprise-wide coverage, and data quality.

Data & AI Trust

Data & AI Trust

Blog
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A practical enterprise framework for trustworthy AI adoption—focused on AI data governance, privacy/compliance, enterprise-wide coverage, and data quality.