aspg-37-1564-1792223573 20261017075253 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Financial Technology and Innovation FinTechI 2836-5372 2022 1 1 Davletov I. R. berganovich Department of Accounting Tashkent State university of economics, Tashkent, Uzbekistan Dusmuratov R. Davlatbayevich Department of Economic analyses and audit Tashkent State university of economics, Tashkent, Uzbekistan Intellectual property has become a central component of enterprise value, while conventional accountingmand assurance processes remain constrained by fragmented records, periodic controls, and limited traceability. This integrative review examines how digital innovation technologies can strengthen the identification, measurement, control, and audit of intellectual property. A structured thematic synthesis was conducted across accounting, auditing, information systems, and innovation-management literature. The evidence was organized around six functional domains: asset identification, rights verification, valuation support, transaction processing, continuous monitoring, and reporting. Findings indicate that data analytics and artificial intelligence improve classification, valuation inputs, and anomaly detection; robotic process automation enhances repetitive control execution and evidence assembly; cloud platforms and standardized data architectures support system integration; and blockchain-based mechanisms improve provenance and multi-party traceability when legal and governance conditions are established. Across technologies, recurring limitations concern data quality, model explainability, cybersecurity, interoperability, legal enforceability, and overreliance on automated outputs. A layered governance framework is therefore proposed that links each technology to accounting assertions, audit objectives, control ownership, validation procedures, and human oversight. Effective digitalization depends less on isolated technology adoption than on coordinated data governance and assurance design. The synthesis identifies priorities for empirical research on implementation quality, evidential reliability, and professional judgment. 2022 16 26 1564 https://creativecommons.org/licenses/by/4.0/ 10.54216/FinTech-I.010102 https://americaspg.com/journal/37/article/1564 https://americaspg.com/storage/articles/manuscripts/01KXC8FEEDZNWS6HK4SX4M9VC4.pdf