همايش ملی پيشرفت های معماری سازمانی

صفحه اصلی / نهمین همایش پیشرفت‌های معماری سازمانی ایران

Self-Optimizing Enterprise Architecture for Digital Government: Telemetry-Driven Maturity and Generative Co-Design

نویسندگان :

Sadegh Aref¹ Marzieh Hatami² Seyedakbar Mostafavi³

1- دانشگاه یزد 2- دانشگاه یزد 3- دانشگاه یزد

کلمات کلیدی :

digital government،maturity model،generative design

چکیده :

Digital government increasingly depends on enterprise architecture (EA) to align strategy with technology portfolios, yet current practices remain static, survey-based, and detached from operational data. This paper introduces a self-optimizing EA framework that integrates telemetry-driven maturity monitoring, generative co-design, and an AI governance layer. Telemetry from service logs and performance metrics feeds a real-time maturity orchestrator, while an AI meta-layer performs predictive analytics and generates policy-compliant BPMN workflows and capability maps under human oversight. A knowledge-graph backbone links policies, processes, and technologies to enable reasoning and interoperability across agencies. A proof-of-concept prototype demonstrates near real-time maturity updates (latency below five seconds), artefact accuracy of up to 100 percent after review, and complete governance traceability. The results indicate that EA in government can evolve from static documentation toward an adaptive, evidence-driven, and trustworthy foundation for digital transformation.