Integrating Custom Enterprise Applications with Legacy Systems for Risk Management: A Modern Enterprise Approach
Abstract
The accelerated implementation of Cloud and Cloud-Native Platforms through Digital Transformation efforts has allowed many Companies across various Industries to create their own Critical Enterprise Applications. Despite all of this activity occurring, Companies continue to depend on legacy Systems for storing many of the critical data used for operationally managing risk along with an ability to integrate with those legacy Systems. The coexistence of Modern and Legacy Information Technology Environments presents enterprises with significant challenges regarding Enterprise Risk Management, Compliance, and Operational Transparency [3]. This study provides a modern Integration Strategy developed on top of ServiceNow's ITOM [1], Integrating Risk Management (IRM) [1], and creating API-driven Orchestrations to connect Modern Enterprise Applications to Legacy Systems. The Module Integration Protocol (MIP) is introduced and demonstrated through the use of standardized Data Models [2], Secure APIs [1], and Automated Workflows to improve significantly Integration Reliability, Compliance Enforcement, and Real-Time Risk Visibility. Implementation of the Moderate Integration Protocol in both the Financial and Health Services sectors [5][6] demonstrates an example of successful implementation through statistically significant improvements such as reduced Integration Errors by 25%, Improved Visibility of Risk by 30%, and Major Decreases in Audit Preparation Time. Additionally, the study illustrates how using Predictive Analytics can support Governance and validates MIP as a scalable Framework for Modern Enterprise Risk Management and Compliance Solutions.
Fields of Study & Subjects
ERP Systems Implementation and Impact
Information Technology Governance and Strategy
Service-Oriented Architecture and Web Services
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 February 2026
- Language
- EN