AI Maturity Assessment

Goal: Assess your organization's AI maturity level and receive personalized recommendations for development through the NABDs.AI AI Academy programs.

1. How would you describe your organization's current AI/Data strategy?
No formal strategy in place
Basic awareness with ad-hoc initiatives
Defined strategy with some projects in progress
Comprehensive strategy integrated with business goals
AI-driven organization with continuous optimization
2. What is the level of AI/data skills among your workforce?
Limited to no AI/data skills
Basic skills in a few individuals
Skilled team in specific departments
Cross-functional teams with advanced skills
Organization-wide AI literacy with expert practitioners
3. How mature is your organization's data infrastructure?
Fragmented data sources with no centralized management
Basic data collection with some storage solutions
Managed data warehouses with some analytics capabilities
Advanced data lakes with MLops capabilities
Fully integrated, real-time data ecosystem with AI automation
4. What is the scope of AI implementation in your business processes?
No AI implementation
Pilot projects in non-critical areas
AI solutions in several business functions
AI integrated across most business functions
AI-driven processes with continuous innovation
5. How would you describe your organization's AI governance and ethics framework?
No formal governance or ethics considerations
Basic awareness of AI ethics issues
Developing framework with some policies in place
Comprehensive governance with ethics board
Industry-leading governance with proactive ethical AI
6. How mature is your organization’s data foundation (quality, catalog, lineage)?
Data is fragmented with limited quality controls
Basic datasets exist but lack catalog/lineage
Centralized data platform with partial governance
Well-governed data platform with catalog + lineage
Enterprise-grade data fabric with automated controls
7. How ready are your security controls for AI workloads (access, encryption, monitoring)?
No AI-specific controls
Basic IAM and encryption
Standard controls with some monitoring
Security-by-design for AI with continuous monitoring
Advanced security posture with automated detection/response
8. How mature is your model lifecycle management (MLOps/LLMOps) today?
No standardized lifecycle
Manual experimentation and deployment
Some CI/CD for models
End-to-end MLOps with testing and rollback
Industrialized MLOps/LLMOps with governance gates
9. How integrated are AI solutions with your core systems and workflows?
Not integrated
Point integrations in a few areas
Integrated for priority workflows
Broad integration across departments
Deep integration with process automation and orchestration
10. How would you rate your Responsible AI practices (bias, safety, transparency)?
Not addressed
Awareness only
Basic guidelines documented
Controls + reviews are operational
Proactive Responsible AI with continuous evaluation
11. How prepared is your organization for Arabic-first user experiences and local context?
Not considered
Limited localization
Arabic support in some interfaces
Arabic-first design with QA
Arabic-first + dialect optimization + RTL excellence
12. How strong is your AI talent pipeline and enablement approach?
No structured enablement
Occasional training
Role-based learning for some teams
Cohort-based programs with certification
National-scale talent engine with measurable outcomes
13. How do you prioritize and govern your AI use-case portfolio?
No portfolio management
Ad-hoc prioritization
Backlog exists but inconsistent scoring
Scored portfolio with governance cadence
Outcome-driven portfolio with benefits realization tracking
14. How do you measure AI impact (adoption, quality, ROI, compliance)?
Not measured
Basic activity metrics
Some KPIs for pilots
Dashboards for adoption + outcomes
Executive scorecards with continuous optimization
15. How ready are you to scale AI to production across the enterprise?
Not ready to scale
Small pilots only
Some production deployments
Repeatable production patterns
National/enterprise scale with operating model and runbooks

Your AI Maturity Level

0/25

Your Needs

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Maps to our production QA gates: security, performance, AI quality, and compliance — with evidence-based sign-off.

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Recommended Development Pathway

Academy Functions

The AI Academy provides comprehensive capacity building through these key functions:

AI Maturity Assessment

End-to-end evaluation of organizational AI readiness with personalized development pathways.

Structured Learning Programs

47 active programs across AI, cloud computing, data engineering, cybersecurity, and smart-city technologies.

Multi-tier Certification

Foundation, Professional, and Expert level certifications with TVTC accreditation.

Industry Partnerships

Collaboration with universities, global vendors, and government ministries for curriculum development.

Accelerated Bootcamps

Rapid workforce development tracks for immediate skill application in critical domains.

AI Innovation Labs

Hands-on experience centers with cutting-edge technology and real-world projects.

Executive Programs

Leadership development for ministers and executives in AI strategy and governance.

Talent Placement

Direct employment pathways connected to Smart Cities and Super App initiatives.

Strategic Impact

The AI Academy functions as an operational engine for Saudi Arabia's digital transformation, directly addressing the national shortage of tens of thousands of engineers while aligning with Vision 2030 objectives through the National Strategy for Data & AI (NSDAI).

AI Academy Key Components

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National AI Curriculum

Strategic design aligned with NSDAI

Strategic Partnerships

With universities, vendors & ministries

Multi-tier Certification

Foundation, Professional, Expert levels

Executive Programs

Leadership & ministerial AI programs

Bootcamps

Accelerated workforce development

AI Labs & Innovation Centers

Hands-on experience facilities

Accreditation

TVTC and local authorities approved

Talent Employment Pathways

Tied to Smart Cities & Super App

Quick Assessment Status

Current Section: AI Maturity Assessment
Assessment Progress: Step 1 of 15
Interactive Components: Ready

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