AIAdoptionFramework
Para. 3.1.1Status unknownSaudi ArabiaRegulation
Issued by Saudi Data & AI Authority / NDMO
Planning and Performance
Planning and performance are two essential components of an AI strategy, serving as a guiding frame
work that aligns all efforts toward achieving clear and measurable goals. By developing a well-structured
plan grounded in a long-term strategic vision, an entity can define the overall direction for AI deployment
and identify priority areas where real value can be generated.
The plan and vision help foster a shared understanding across the entity regarding the purpose of AI
adoption, while facilitating effective allocation of resources and technology investments aligned with
strategic objectives. They also ensure that AI initiatives are linked to broader enterprise goals, whether
in improving operational performance, enhancing customer experience, or supporting data-driven deci
sion-making.
To ensure full integration of AI into enterprise direction, the following steps are recommended for building
a clear and sustainable strategy:
Developing a Comprehensive AI Strategy Document: : A detailed document should be prepared
to define the long-term vision, priority areas, and expected outcomes from AI implementation. This
document should be built on a sound understanding of the entity’s objectives and technical and hu
man capabilities.
Aligning the Plan with National Strategies: The AI strategy should be linked to national plans such
as Saudi Vision 2030 and the National Strategy for Data and AI (NSDAI) to ensure coherence and
support integration between enterprise and national efforts.
Defining Key Performance Indicators (KPIs): A set of performance indicators should be adopted
to measure implementation effectiveness, such as the number of smart projects executed, the per
centage improvement in service quality, and the degree to which enterprise objectives are achieved
through AI.
Preparing a Timeline Roadmap: A clear timeline should be developed, covering the planning,
launch, expansion, and evaluation phases, with responsibilities and required resources specified for
each stage.
Simplified Practical Example:
The entity develops a document titled “AI Strategy,” which includes a two-year timeline that specifies when pilot projects will
be launched and when systems will be applied. These phases are linked to the achievement of service-related objectives
and quality improvements.
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AI Adoption Framework
The Arabic text is the legally binding version. The English translation is provided for guidance only.
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