Jul 2026· 2026 6th International Conference on Inventive Computation and Information Technologies (ICICIT)· pp. 1644-1649· 0 citations· 17 references
Abstract
Platform engineering and service automation have become pivotal paradigms to operate complex digital infrastructures across domain-specific areas. Although widely used, the current frameworks do not have domain-specific orchestration of the heterogeneous needs of healthcare and smart enterprise environments. This paper proposes a unified domain-specific platform engineering framework (DS-PEF) that integrates microservices-based service automation, policy-based orchestration, and AI-assisted workflow management. The proposed framework is evaluated through two structured case studies: a healthcare integration platform supporting automated clinical workflows and a smart enterprise automation system supporting DevSecOps pipelines and intelligent resource allocation. The experimental evaluation uses the MIMIC-IV healthcare dataset and a synthetic enterprise operations benchmark containing more than 50,000 service transactions. Findings indicate that DS-PEF achieves 94.7% workflow automation accuracy, reduces workflow latency by 38.4% compared with traditional platforms, reaches a 96.2% policy compliance rate, and improves resource utilization efficiency by 41.3%. The framework is better than the current platforms such as Backstage, Crossplane and Port both in terms of throughput and fault-tolerance. These results affirm that platform engineering that is domain specific can significantly improve operational intelligence, compliance enforcement and scalability in mission critical environments.
This study proposes a comprehensive framework that leverages low-code RPA to automate complex, rule-based processes, including electronic medical record (EMR) updates, insurance claims processing, and compliance reporting, without requiring extensive software development expertise.
Mirela Sino, Hiqmet Kamberaj· European Scientific Journal· 0 citations
An AI-enabled enterprise platform engineering framework for scalable developer platforms, intelligent infrastructure automation, and operational excellence is developed that indicates that combining self-service workflows with governed AI assistance can improve process consistency, reduce operational handoffs, strength...
Bhanu Kiran Kumar Muggalla· International Journal of Int...· 0 citations
Cloud-native architectures have increased enterprise operational complexity by distributing services across heterogeneous multi-cloud environments. Traditional DevOps pipelines support controlled deployments but are limited by fragmented toolchains, inconsistent governance, weak configuration-drift visibility, and dela...
Baba Prasad Pendyala, P. Praveen· International Conference on...· 0 citations
The findings advocate for the integration of AI-powered pipelines within ERP systems as a transformative approach to enable scalable, intelligent, and high-fidelity data processing, essential for next- generation enterprise software resilience and performance.
Yuvaraj Kavala· International Journal of Com...· 0 citations