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Nilüfer Doğan

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Copilot Studio & Power Platform Expert

Nilüfer Doğan holds a position of Power Platform Developer at IAEA, practically designing AI-powered solutions with Microsoft Power Platform tools such as Power Apps, Power Automate, AI Builder, and Copilot Studio. Her work consists of automation with a map on business process automation and app development interactions along with Azure services for efficiency improvements and a better user experience.

At Siemens and BSH Home Appliances Group, she developed enterprise-grade applications, process automation, and technical documentation. She provided workshops and mentoring for citizen developers in her company. Also, she took part in internal knowledge-sharing initiatives, including best practice meetings and developer workshops.

Nilüfer has a B.S. degree in Economics earned from the Middle East Technical University, and she also holds several certifications in Microsoft technologies, including Azure AI and Power Platform. She blends her strong technical background with a hands-on, solution-oriented mentality and is trusted for the design and delivery of scalable, user-centered applications.

June 27, 2026

Copilot Studio, AI Agents, RAG, and the Future of Business Automation with Nilüfer Doğan [MVP]

In this episode, Mirko Peters is joined by Microsoft MVP Nilüfer Doğan to explore how Microsoft Copilot Studio is transforming enterprise automation through AI agents, Retrieval-Augmented Generation (RAG), and low-code development. Rather than building simple chatbots, organizations can now create intelligent agents capable of understanding business context, accessing enterprise knowledge, and automating complex workflows.The conversation explains how Copilot Studio enables businesses to combine Microsoft 365, Power Platform, Dataverse, and external data sources into powerful AI-driven solutions. Nilüfer shares practical insights into designing agents that go beyond answering questions by taking actions, integrating with business systems, and supporting employees in their daily work.A major focus is on Retrieval-Augmented Generation (RAG), showing how AI agents can securely retrieve relevant company information instead of relying solely on the underlying language model. The ep…