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Framework

Governance that maps to the regulation.

Our blueprint connects every policy and control to the EU AI Act and ISO/IEC 42001 — so readiness is documented, not assumed.

AI Policy Development

Acceptable-use guidelines, roles and accountability mapped to your operating model.

Responsible AI

Fairness, transparency and bias-testing metrics with documented thresholds.

Data Governance

End-to-end data lineage, provenance and access controls.

EU AI Act conformity

Risk classification, Annex III mapping and a pre-audit readiness review.

ISO/IEC 42001 AIMS

AI management system design with the evidence regulators expect.

Model governance

Lifecycle oversight: approval gates, monitoring and retraining policy.

Regulatory coverage

Compliance we deliver, by regulation.

Targeted controls and evidence for the regimes your AI systems answer to.

GCC

UAE & GCC regimes

GCC-native compliance for the regimes regional institutions actually answer to — read in the original, not summarised from afar.

  • CBUAE AI/ML supervisory expectations
  • DIFC Regulation 10 — autonomous systems
  • ADGM & DFSA technology governance
  • UAE PDPL alignment for AI processing
EU AI ACT

EU AI Act compliance

Readiness for the EU AI Act's obligations on high-risk AI systems — relevant to any GCC firm serving EU markets.

  • Risk classification & Annex III mapping
  • Conformity assessment preparation
  • Technical documentation file
  • Post-market monitoring design
ISO 42001

Standards & frameworks

International standards mapped into one management system rather than parallel paper exercises.

  • ISO/IEC 42001 AI management system
  • ISO/IEC 38507 board oversight
  • NIST AI Risk Management Framework
  • ISO 27001 security extension for AI
Regulatory intelligence

What we're tracking now.

Updated continuously
DIFC
DIFC Regulation 10 — AI & Advanced TechnologyMandatory AI governance obligations for DIFC-regulated firms
CBUAE
CBUAE AI/ML Supervisory GuidanceRisk-based oversight framework for AI in UAE financial services
UAE PDPL
Personal Data Protection Law enforcementCross-border AI deployments subject to PDPL compliance obligations
ADGM
ADGM AI regulatory guidanceAbu Dhabi Global Market technology governance expectations
ISO 42001
AIMS certification demand risingBoards request third-party AI management system audits
EU AI ACT
High-risk AI system obligationsAnnex III systems require documented risk and evidence trails
NIST AI RMF
AI Risk Management Framework 1.0Cross-sector standard for AI risk governance and assurance
ISO 38507
Board oversight of AI useGovernance implications of AI for board directors
DFSA
DFSA technology governanceDubai Financial Services Authority expectations on AI risk controls
How we engage

From baseline to continuous assurance.

01

Assess

Every engagement opens with a discovery session and readiness scan — what you have, what it does, and where the gaps are.

02

Govern

Structures, policies and controls aligned to the frameworks your regulators expect — before any execution begins.

03

Execute

Hands-on delivery with accountable owners, milestones and evidence trails — advisory that ships, not slideware.

04

Assure

Independent review and board reporting that turns technical detail into decisions your leadership can defend.

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