AI-DRIVEN ENTERPRISE INFORMATION MANAGEMENT AND INTELLIGENT DOCUMENT PROCESSING FOR DIGITAL TRANSFORMATION IN SAUDI ARABIA UNDER VISION 2030

Saudi organisations hold vast stores of scanned forms, contracts, correspondence and archival files, much of it in Arabic script, and Vision 2030 asks them to turn this material into reliable, reusable information for digital services. Artificial intelligence now offers the means to read, classify and extract content from such documents at scale, but recognition accuracy alone does not make information trustworthy, compliant or useful. This review examines how intelligent document processing (IDP) and enterprise information management (EIM) can be combined so that automated capture produces governed information assets that support digital transformation in the Kingdom. A structured evidence review of peer-reviewed journal studies from 2020 to 2025 was carried out, anchored by two seed surveys of Arabic optical character recognition and Arabic handwriting recognition, and closed at 30 sources. Evidence was charted against the document pipeline, the information lifecycle, Saudi regulatory anchors and transformation outcomes. The synthesis indicates that recognition of printed Arabic has matured on benchmark data, whereas handwriting, complex layouts, scarce domain-specific training data and post-recognition correction remain weak points.