End-to-End Hyperautomation with Oracle ERP and Oracle Integration Cloud
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V2I4P107Keywords:
Hyperautomation, Oracle ERP Cloud, Oracle Integration Cloud, RPA, UiPath, Low-code, AI orchestration, Process automation, Finance operations, ERP integrationAbstract
Technological integration of Artificial Intelligence (AI), Robotic Process Automation (RPA), and low-code application development platforms is setting a new direction for enterprise operation by implementing hyperautomation, which is an innovative method of improving the process. The following paper provides a detailed analysis and design proposals of end-to-end implementation of hyper-automation by Oracle ERP Cloud and combining it with Oracle Integration Cloud (OIC), through the integration of RPA, generated through Oracle partnerships (in particular, UiPath), AI-based decision support, and Low Code/No Code environments. The paper examines how heterogeneous automation technologies are being orchestrated with the aim of generating self-sustaining financial and operational workflows that would greatly minimize human intervention. The work tackles the major issues of assimilating AI, RPA and low-code in an ERP ecosystem in the integration of APIs, event-driven triggers, exception handling, and data governance. Integrating the financial modules (Accounts Payable, Accounts Receivable, General Ledger) offered by Oracle ERP, and the integration capabilities of OIC, the proposed architecture is capable of automating most of the activities that involve repetitive tasks (invoice processing, bank reconciliations, procurement approvals, and auditing of expenses). We introduce a case study of pre-2021 automation implementations, with reference to some of our own customer digitalization initiatives, and other top global businesses across manufacturing, retail and finance. The methodology presents a layered automation architecture: (1) Perception Layer, which represents the AI models of document understanding and anomaly detection, (2) Execution Layer, which entails RPA bots performing transactional tasks automation, (3) Integration Layer, or the OIC-orchestrated API-driven and event-based transactions, and (4) the Application Layer that refers to the augmented ERP modules with the low-code customization capabilities applicable to the domain-specific needs. Among the contributions are a Hyperautomation Maturity Model (HMM) to aid the process of implementing Hyperautomation in ERP contexts, a performance benchmark to determine the ratio of improvement between manual and automated operations, and a series of automation patterns, which constitute the repository of the patterns that can be reused to automate. Findings suggest that integrated hyperautomation has the capacity to result in a 72 percent reduction in cycle time of a process and an 85 percent reduction in time spent making manual interventions in finance processes, and is expected to have an ROI in 12 to 18 months after the system has been deployed. This paper makes use of figures and tables in the implementation of the proposed architecture, data flow diagrams, process cycle efficiency metrics, and AI-RPA orchestration sequences. We also give a quantitative impact of automation, such as throughput, reduction of error rate and savings of human effort. In this paper, the conclusion is that AI, RPA, and low-code integration into Oracle ERP and OIC provide a backbone of integrated enterprise operations that are scalable, flexible, and possess a great deal of intelligence. It is suggested that the next prospective area of study will involve autonomous processes optimization, as, in addition to just detecting process inefficiencies, the AI models will self-correct them in real time
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