Saudi Arabia’s Vision 2030 is driving one of the most ambitious digital and economic transformations in the world. At the heart of this strategy is a recognition that data governance and classification are not just technical enablers, but the foundation for interoperability, transparency, and efficiency across industries.
From ministries to large enterprises, organisations are being required to adopt structured data standards that will ensure consistency, reliability, and accountability in every system — from procurement to ERP to supply chain operations.
Why Data Classification Is Essential for Vision 2030
The Saudi government is mandating data classification standards across ministries and enterprises. This mandate ensures that data is:
- Structured using global taxonomies such as UNSPSC, GS1, and ISO standards.
- Interoperable across supply chains, government systems, and ERP platforms.
- Reliable enough to support automation, digital procurement, and advanced analytics.
By aligning to global taxonomies, organisations in Saudi Arabia can:
- Enable seamless supplier integration and interoperability across industries.
- Gain accurate spend analysis and full visibility into budgets.
- Strengthen regulatory compliance and ESG reporting.
- Create a foundation for AI-driven ERP and procurement automation.
This is a critical step in achieving Vision 2030’s ambition of building a world-class digital economy.
The Benefits of AI-Driven Data Governance
Manual data cleansing and classification methods cannot keep up with the scale of modern enterprise data. Ministries and corporations process millions of records across multiple sites, divisions, and suppliers. Without automation, classification projects become slow, expensive, and error-prone.
AI-driven data governance and classification tools address this challenge by:
- Processing millions of records in weeks instead of months.
- Achieving 90%+ accuracy, with the remainder validated by experts.
- Enriching records with missing attributes such as size, material, and manufacturer.
- Integrating directly into SAP S/4HANA, MDG, MDM, and EAM systems for seamless adoption.
How AICA Supports Data Classification in Saudi Arabia
AICA delivers specialised product and service data cleansing, enrichment, and classification for ERP and procurement systems. Our Agentic AI platform is purpose-built for industrial and MRO data, making it highly effective for the sectors central to Vision 2030, including mining, energy, manufacturing, and construction.
In collaboration with our Saudi partner, Raqmanah Al Arabia, we help organisations across the Kingdom cleanse, enrich, and classify their data at scale. This partnership ensures enterprises can meet government mandates, accelerate procurement processes, and establish the structured data foundation required for Saudi Arabia’s digital transformation goals.
Together, AICA’s Agentic AI platform and Raqmanah’s local expertise provide:
- Automation at Scale – Millions of records cleansed, classified, and enriched in weeks.
- Industry-Specific Accuracy – Algorithms trained on industrial datasets deliver 90%+ accuracy out of the box.
- Confidence Scoring – Transparent scoring highlights exactly where human oversight is required.
- Human QA/QC Oversight – High-impact records validated by subject matter experts.
Conclusion
Saudi Vision 2030 recognises that clean, structured, and standardised data is the foundation of a thriving digital economy. With government mandates now requiring classification and taxonomy alignment, organisations must move beyond manual processes and adopt AI-driven solutions.
By applying international standards like UNSPSC, GS1, and ISO, and leveraging AICA’s Agentic AI platform, Saudi ministries and enterprises can:
- Eliminate duplication across inventories.
- Improve procurement visibility and sourcing speed.
- Strengthen compliance and ESG reporting.
- Enable ERP and procurement systems to operate with maximum efficiency.
Contact AICA today to discover how our classification and enrichment solutions can help transform your ERP and procurement data into a foundation for compliance, efficiency, and growth.
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