The Introduction Meeting of the AI-Powered Next-Generation Quality Management System (IQMS), developed in cooperation between Kırşehir Ahi Evran University (KAEÜ) and Yıldız Technical University (YTÜ), was held online on September 18, 2026. IQMS brings together the knowledge and experience of both universities in quality management, institutional governance, digital transformation, and software development. During the meeting, the current status of the system, its main modules, management dashboards, AI-powered analysis features, data transfer process, and future development goals were discussed in detail. The meeting was attended by the Rector Prof. Dr. Mustafa Kasım Karahocagil, Prof. Dr. Eyüp Debik, Rector of Yıldız Technical University; Prof. Dr. Vatan Karakaya, Vice Rector of Yıldız Technical University; Prof. Dr. Hüseyin Şimşek, Vice Rector and Quality Management Coordinator of Kırşehir Ahi Evran University; as well as administrators, quality management representatives, and software experts from both universities who contributed to the development of the system.
During the meeting, Prof. Dr. Hüseyin Şimşek, Vice Rector and Quality Management Coordinator, introduced the technical and functional features of IQMS with practical demonstrations on behalf of the development team. The main modules of the system, including the management dashboard, strategic planning, performance, process, and risk management, were presented to the participants through sample applications.
From Quality Management to Smart Governance
IQMS aims to transform quality management systems from structures used only for recording and storing data and preparing periodic reports into a smart governance system that supports institutional decision-making processes.The new-generation system enables institutions to manage their strategic plans, administrative processes, performance indicators, activities, risks, stakeholder relations, tasks, documents, satisfaction feedback, and improvement activities within an integrated and interconnected structure. In this context, the system aims to collect data produced by different units within a common data model, establish connections between different types of data, and allow managers to access the information they need through a single platform. With IQMS, managers will be able to monitor the overall status of the institution not only through reports prepared at the end of certain periods, but also through up-to-date data and management dashboards. In this way, decision-making processes are expected to become faster, more measurable, traceable, and data-driven.
AI-Powered Analysis and Decision-Making Mechanism
One of the most important features of IQMS is its ability to analyze large amounts of institutional data with the support of artificial intelligence and turn it into meaningful and useful information for managers. The system is designed to bring together data from different modules, evaluate institutional performance, identify changes in indicators, analyze deviations from targets, and show decision-makers the areas that require priority attention.
With its AI-powered reporting system, IQMS aims to help managers not only see numerical data, but also understand what the data means, identify problem areas, and determine where improvements are needed more quickly. In this way, IQMS is designed to help institutions not only see “what is happening,” but also understand “why it is happening” and make faster and more accurate decisions about “what should be done next.”
Management Dashboard Highlights Priority Areas for Action
The IQMS Management Dashboard introduced during the meeting brings together critical information from different management areas and provides managers with an overall view of the institution. Through the dashboard, managers can monitor performance indicators that are below target values, activities that have not been completed on time, high-level risks without assigned responsible persons, the progress of the strategic plan, and performance differences between units.
Thanks to the charts and warning sections on the dashboard, managers can directly identify the issues that require priority action instead of reviewing large amounts of data one by one. In this way, the system aims to reduce time loss in management processes and direct institutional resources to priority areas. The management dashboards are designed not only to show the current situation, but also to provide assessments of the causes of deviations, areas where risks are concentrated, and processes that need improvement.