Skip to main content

Enterprise data, AI,
governance & privacy
consulting

DAI Consultancy helps GCC organizations assess, design, and implement governed data and AI capabilities — aligned to the national data frameworks of Saudi Arabia, Qatar, Oman, the UAE, and Bahrain.

Start here

Most engagements begin with a Data & AI Maturity Assessment.

DAI Consultancy enterprise data, AI, and governance consulting

Governance-first delivery

Controls, ownership, and operating routines designed before platforms scale.

Mapped to GCC frameworks

Aligned to the national data frameworks of Saudi Arabia, Qatar, Oman, the UAE, and Bahrain.

Practitioner-led delivery

Advisory and implementation shaped by real operating constraints.

English & Arabic delivery

Engagements, workshops, and enablement delivered in both languages across the GCC.

Capability transfer built in

Operating routines, documented models, and trained teams left with you — not just reports.

Value we create

Outcomes, not just deliverables

What enterprises gain when data, AI, governance, and privacy are treated as one connected capability.

01

Trusted data for decisions

Reporting and analytics leadership can rely on, built on governed, well-understood data.

02

AI that reaches production

Move beyond proofs of concept to AI and analytics that are governed, monitored, and actually used.

03

Clear ownership and accountability

Defined roles, stewardship, and decision rights so critical data has owners — not just users.

04

Lower data and AI risk

Privacy, security, and AI controls designed into the operating model, not bolted on afterwards.

05

Faster, more reliable delivery

Engineering and DataOps that put working platforms, pipelines, and dashboards into production.

06

Regulatory readiness by design

Engagements mapped to your jurisdiction's frameworks from day one — privacy, security, and AI controls included.

What we do

Three connected pillars

We help you set the direction, build the foundation to serve it, then turn both into business value. Explore the services within each pillar — the capability map below shows the full depth behind each.

01 · Set the direction

Data Strategy

Strategy, governance, and operating models that turn data ambition into executable plans.

Policy & standardsData stewardshipPrivacy by designAI governanceData culture & literacy

02 · Build the foundation

Data Foundation

Secure, scalable foundations that make data accessible, governed, and AI-ready.

Metadata & catalogingData quality engineeringLifecycle & retention

03 · Create the value

Data for Business

Analytics, AI, and data products that put trusted intelligence to work.

Decision intelligenceData productsAdoption & enablement

GCC framework alignment

Mapped to official GCC data and privacy frameworks

We map each engagement to the official data governance, privacy, classification, quality, sharing, and operating-model expectations that apply in each jurisdiction — then translate them into policies, controls, evidence, platforms, and routines teams can operate.

Saudi Arabia

NDMO domain readiness and Saudi PDPL operational controls.

  • NDMO Data Management & Personal Data Protection Standards (15 domains)
  • Personal Data Protection Law (PDPL) & Implementing Regulations

NDMO domain gap assessment, data-office governance, classification and quality controls, and PDPL registration / DPO readiness.

Qatar

NPC / QDKC implementation and Qatar National Data Standards readiness.

  • National Data Policy & Qatar National Data Standards (12 domains, 61 controls, 162 specifications)
  • QDKC (Qatar Data Knowledge Case)
  • Personal Data Privacy Protection Law (PDPPL, Law No. 13 of 2016)

12-domain standards assessment, QDKC-based implementation sequencing, and PDPPL privacy-by-design readiness.

Oman

MTCIT National Data Governance Framework readiness and Oman PDPL controls.

  • National Data Governance & Management Policies (14 domains; 13 covered in the national policy document)
  • Compliance Assessment Model (192 criteria; P1/P2/P3 priorities)
  • Personal Data Protection Law (PDPL); open data & freedom of information

Domain maturity assessment, DGM Office design, evidence-based compliance readiness, and PDPL, open-data, and FOI controls.

United Arab Emirates

Layered federal, emirate, and free-zone data and privacy alignment.

  • Federal Decree-Law No. 45 of 2021 Concerning the Protection of Personal Data
  • UAE Smart Data Framework — classification, exchange, quality
  • Abu Dhabi standards (13 domains); Dubai, DIFC & ADGM where applicable

Applicability mapping across federal, emirate, and free-zone rules, plus Smart Data and Abu Dhabi standards.

Bahrain

Bahrain PDPL and open-government-data implementation support.

  • Personal Data Protection Law (PDPL, Law No. 30 of 2018)
  • Open Government Data Policy 2.0 & Government Open Data License

PDPL controller / processor controls, data-protection-guardian readiness, and open-data publication support.

Requirements vary by sector, data type, entity, and cloud region. We assess applicability per engagement and design to fit each context.

DAI aligns services to official GCC frameworks and guidance. References to regulators and standards do not imply endorsement, accreditation, certification, or legal advice.

Capability map

A standards-informed capability map

The full data management discipline, organized by our three pillars — each primary capability links to the service where we go deeper.

Informed by international data management practice (DAMA-DMBOK) and the national data frameworks of Saudi Arabia (NDMO), Qatar (National Data Program / QDKC — Qatar Data Knowledge Case), and Oman (MTCIT National Data Governance Framework), alongside privacy, security, and AI-governance principles.

Data Strategy — governance & information management

Also covered: Value realization · Master data management (MDM) · Reference data management (RDM) · Document & content management · Records & retention · Open data · Freedom of information

How we deliver

A delivery model built to transfer capability

Every engagement moves through the same lifecycle — advisory where you need direction, hands-on build where you need delivery — and ends with your teams owning what we built together.

  1. 01Assess

    We baseline your data and AI maturity with executives and practitioners — assessing the data landscape, governance posture, risks, and priorities to establish a shared, evidence-based starting point.

  2. 02Design

    We define the target state together: reference architecture, governance framework, operating model, and a sequenced roadmap that connects business priorities to a practical path from ambition to execution.

  3. 03Implement

    We build alongside your teams — platforms, pipelines, controls, and analytics delivered into governed environments as working capability your organization runs, not slideware that sits on a shelf.

  4. 04Govern

    We stand up the governance that keeps it trustworthy: stewardship roles, data quality rules, privacy and AI controls, and the decision forums and routines that build compliance into daily work.

  5. 05Scale

    We extend proven ways of working across domains, entities, and use cases — turning early delivery into repeatable operating routines that create value beyond the initial scope.

  6. 06Transfer Capability

    We train your teams, document the operating model, and transition ownership through a structured handover — so your people can sustain the capability independently after we leave.

Industry use-cases

Practical focus by industry

Government & Public Sector

National data strategies, federated governance, and cross-entity sharing aligned with regional mandates.

Financial Services

Trusted regulatory reporting, risk and fraud analytics, and customer data quality.

Energy & Utilities

Operational and sensor data platforms, predictive maintenance, and HSE analytics.

Telecom

Real-time network and customer analytics, with privacy-safe data monetization.

Healthcare

Governed clinical and patient data, privacy-safe interoperability, and clinical decision support.

Education

Unified student records and institutional data, performance analytics, and data-literacy programs.

FAQ

Frequently asked questions

Most engagements begin with a short scoping conversation followed by a focused assessment — of your data landscape, governance maturity, or AI readiness. The assessment produces a prioritized view of gaps and quick wins, and a sequenced plan you can act on whether or not you continue with us.

We treat governance as a business capability, not an IT project. Engagements are governance-first and informed by recognized practices such as DAMA-DMBOK and regional frameworks, implemented through operating models sized to your organization — centralized where lean works best, federated where scale demands it — so governance never becomes bureaucratic.

Our methods are informed by international data management practice (DAMA-DMBOK) and the national data frameworks of Saudi Arabia (NDMO), Qatar (National Data Program / QDKC — Qatar Data Knowledge Case), and Oman (MTCIT National Data Governance Framework), alongside privacy, security, and AI-governance principles. We align engagements to these frameworks rather than claiming any accreditation by them.

Both. We design strategy and operating models, build the platforms, pipelines, controls, and analytics alongside your teams, and document the operating routines so your people can run it.

We work with enterprises across the GCC — including government, financial services, energy, telecom, healthcare, and education — adapting frameworks to each organization's regulatory and operational context.

Ready to put your data to work?

Let's map your priorities to a practical roadmap — and the operating model, controls, and capability to deliver it.