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Good practice Imported

Estishraf & National Data Bank — Saudi Arabia's SDAIA Platforms for AI-Driven Government Foresight

Saudi Arabia · Riyadh · See the Saudi Arabia profile · See the Riyadh profile

Evidence: Descriptive / self-reported Top 88% 33/100 · Ask Evidence Copilot about this practice

SDAIA's Estishraf platform applies AI to generate predictive indicators for Saudi government planning; it won a 2026 UN Public Service Award, though its claimed SAR 50bn (~$13.3bn) in savings is self-reported by officials and unaudited.

50 SAR billion (~US$13.3bn)
Government savings attributed to Estishraf's use in planning (self-reported, unverified) (cumulative, reported 2026)
700+ initiatives, from 62 countries
Initiatives competing for the 2026 UN Public Service Award (2026)
Estishraf & National Data Bank — Saudi Arabia's SDAIA Platforms for AI-Driven Government Foresight

Details

Maturity
Established
Promoter
Saudi Data and Artificial Intelligence Authority (SDAIA)
Period
2026 (UN Public Service Award); ongoing
Keywords
data governance, predictive analytics, policy foresight, public administration, AI infrastructure

Context

In June 2026, the United Nations named Saudi Arabia's National Data Bank and Estishraf platforms — both built and operated by the Saudi Data and Artificial Intelligence Authority (SDAIA) — a winner of the 2026 UN Public Service Award, in the 'transparent and accountable public institutions' category, selected from more than 700 initiatives submitted by 62 countries and presented at the UN Public Service Forum in Tbilisi, Georgia.

Objectives

Estishraf applies data analytics and artificial intelligence to generate indicators, analyses and predictive insights intended to help government entities anticipate challenges and plan policy; the National Data Bank standardises data quality and enables data-sharing across government agencies to support this analysis.

Activities

SDAIA is a standing national authority with a broad mandate covering Saudi Arabia's data governance and AI strategy, including the country's designation of 2026 as its 'Year of Artificial Intelligence.' The National Data Bank and Estishraf operate across Saudi government entities nationally, rather than being confined to a single pilot agency.

Results

Saudi officials have publicly attributed savings of more than SAR 50 billion (roughly US$13.3 billion) to Estishraf's use in government planning.

Conclusions

None of the government or state-media sources disclose which specific AI or machine-learning methods the platforms use, how the SAR 50 billion savings figure was calculated, or which independent body — if any — verified it. The UN award recognises the platforms' existence, adoption and the country's submission process, but is not an independent audit of Estishraf's specific savings claim.

Implementation

Indicative cost
High (€500k–€5M) — No specific budget figures published; described as a broad national mandate under a standing government authority (SDAIA) rather than a single itemised procurement.
Time to results
Long (> 3 years) — Platforms operating nationally as of the June 2026 UN award; SDAIA has an ongoing, broad mandate; 2026 designated the country's 'Year of Artificial Intelligence.'
Staffing & skills
Saudi Data and Artificial Intelligence Authority (SDAIA) — standing national authority operating both platforms

Conditions for success

  • A national mandate covering both data governance and AI strategy under one authority
  • Top-level political priority (2026 designated Saudi Arabia's 'Year of Artificial Intelligence')
  • Cross-agency data standardisation (National Data Bank) as a prerequisite for reliable analytics (Estishraf)

Common failure modes

  • No disclosure of which specific AI/ML methods are used or how the savings figure was calculated
  • Savings claim not corroborated by an outside auditor or academic study in the sources reviewed

Where it fits

Governance type
national authority/agency
Scale
national
Income level
high-income

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

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