Artificial Intelligence is entering a new era. While chatbots introduced many organizations to generative AI, today's intelligent AI agents are capable of much more. They can retrieve enterprise knowledge, execute business processes, automate repetitive tasks, integrate with business systems, and support employees across departments. Microsoft is investing heavily in this vision through Copilot Studio, Azure AI Foundry, Azure OpenAI, Power Platform, and Azure AI Search.In this episode of M365 FM, Mirko Peters welcomes Microsoft MVP Nilüfer Doğan to explore how organizations can move beyond AI experiments and begin building production-ready enterprise AI solutions.

FROM ECONOMICS TO MICROSOFT AI DEVELOPMENT
Nilüfer shares her unique career journey from studying economics to becoming a Microsoft MVP and Platform Developer working with some of Microsoft's newest AI technologies.She explains how her analytical background helped shape the way she approaches software development, problem solving, automation, and enterprise architecture. Rather than following a traditional computer science path, she discovered Power Platform after initially working in Data Science before transitioning into low-code development.Her story demonstrates that successful AI professionals often combine technical expertise with business thinking.

WHAT A MODERN POWER PLATFORM DEVELOPER REALLY DOES
Many people imagine Power Platform developers simply building Power Apps or Power Automate flows.Nilüfer explains that today's role is much broader.Her daily work includes:

• Building enterprise AI agents
• Developing Power Platform solutions
• Supporting digital transformation projects
• Mentoring citizen developers
• Integrating Azure AI services
• Designing secure enterprise architecturesModern Power Platform professionals increasingly work across multiple Microsoft technologies instead of focusing on a single product.

WHY COPILOT STUDIO IS NO LONGER "JUST A CHATBOT"
One of the biggest myths surrounding Copilot Studio is that it simply replaces traditional chatbots.During the conversation, Nilüfer explains why that assumption is outdated.Today's Copilot Studio enables organizations to create intelligent AI agents capable of:

• Using enterprise knowledge
• Calling business systems
• Executing workflows
• Using multiple tools
• Connecting to Microsoft 365
• Working with Azure AI services
• Supporting complex business processesInstead of predefined conversation trees, modern AI agents reason over instructions and available tools.

THE BIGGEST MISCONCEPTIONS ABOUT AI AGENTS
Organizations often expect AI agents to solve every business problem.Nilüfer explains that this is one of the largest mistakes companies make.Not every problem requires an AI agent.Sometimes the correct solution is:

• Power Apps
• Power Automate
• Power Pages
• Traditional automation
• Custom Azure developmentChoosing the correct Microsoft technology is often more important than using the newest AI feature.

HOW COPILOT STUDIO HAS EVOLVED
Microsoft has dramatically expanded Copilot Studio during the past year.The discussion explores how the platform has shifted from manually building conversation topics toward instruction-based AI development.Rather than configuring every response individually, developers increasingly focus on:

• Better instructions
• Better prompts
• Better knowledge
• Better tools
• Better orchestrationThis changes the role of developers from conversation designers into AI solution architects.

AI AGENTS VS TRADITIONAL CHATBOTS
One of the most valuable parts of the conversation focuses on the difference between classic chatbots and modern AI agents.Traditional chatbots require developers to define every possible decision path manually.AI agents instead:

• Understand user intent
• Choose appropriate tools
• Retrieve relevant information
• Execute workflows
• Generate contextual responsesThis represents one of the biggest shifts in enterprise automation over the past decade.

WHEN TO USE COPILOT STUDIO — AND WHEN TO USE AZURE AI

Every organization eventually asks the same question:Should we build this inside Copilot Studio or inside Azure?Nilüfer explains that there is no universal answer.Smaller business scenarios can often be solved entirely inside Copilot Studio.Larger enterprise solutions involving huge datasets, complex AI pipelines, or advanced retrieval usually benefit from Azure AI services including Azure AI Foundry and Azure AI Search.

BUILDING A REAL ENTERPRISE AI SOLUTION
Instead of discussing theory, Nilüfer shares a real customer scenario.She explains how she built an intelligent knowledge assistant connected to an on-premises Confluence environment.The solution included:

• Document indexing
• Permission-aware search
• Azure AI Search
• Enterprise authentication
• Copilot Studio
• Secure knowledge retrievalUsers only receive informat...