Empowering Innovation: Building AI Agents with Microsoft Copilot Studio at Dot Net Day 8 MDCA

Where Tech Meets Possibility

These days, AI isn’t just something extra—it’s becoming the backbone of innovation. At the 8th Dot Net Day, hosted by the Microsoft Developers Community of Ahmedabad (MDCA) at AMA, I had the chance to lead a fun and engaging session called “Build Your Own AI Agent with Microsoft Copilot Studio.”

The session aimed to demonstrate how no-code and low-code AI tools help all types of businesses from start-ups to enterprises—to increase productivity through intelligent automation.

The Vision Behind Microsoft Copilot Studio

Microsoft Copilot Studio builds on tools like Power Virtual Agents and the Power Platform. It lets you to design smart virtual assistants and chatbots that can answer questions, Manage everyday tasks, and connect with your internal Systems. In simpler words: Ever wished you had an assistant to deal with the repetitive tasks or provide real-time support ?  Copilot Studio helps you make that happen.

Explore our other blogs on Microsoft Copilot Studio

Live Demo Highlight: Building an AI Agent for MDCA

To truly show its capabilities, I walked attendees through a live demo, using content from the official MDCA website. To build an intelligent advisor bot that could answer questions about:

• Upcoming events
• Sessions and speakers
• Community engagement
• All without writing code or manually curating content.

Here’s How We Did It—Step by Step:

Step 1: Access Copilot Studio
We kicked things off by logging into Microsoft Copilot Studio—ready to build!

Step 2: Create a New Agent
A few clicks later, we had our new agent:

• Name: MDCA AI Advisor
• Purpose: Assist users with real-time MDCA event and session info

Step 3: Add Knowledge Sources
To make the agent intelligent, we simply linked it to the MDCA public website.
There was no need for tagging or training, Copilot Studio read and understood the content automatically. It also extract relevant data from other external linked sources, which makes the agent even more flexible and helpful when providing answers to users.

Step 4: Define Topics & Intents
We structured conversations around:

• Upcoming Events
• Speaker Information
• How to Join MDCA

Using AI, Copilot detected what users wanted and responded accordingly—even with unclear queries.

Step 5: Configure Smart Responses
Using the built-in visual editor, we:

• Customized responses
• Used dynamic values (like event names or speaker details)
• Added logic and conditions to guide conversations naturally

Step 6: Test the Agent
We ran real-time tests using the chat simulator, and the AI impressed everyone:

• When is the next MDCA event?
• The next MDCA event is scheduled for [Date] at [Venue]
• What is power platform?

All responses were pulled dynamically from the MDCA website, embedded documents like PDFs, Docs, and PPTs, and connected external sources—no manual scripting involved!

Step 7: Publish & Integrate
Then, we explored deployment options:

• Embedded in Microsoft Teams
• Integrated with internal portals
• Shared via community websites

Why Copilot Studio is a Game-Changer for Developers

Here’s what makes this tool truly transformational:

• No-Code Development: Anyone—from HR to marketing—can create AI agents.
• Seamless Integration: Easily Integrates with Microsoft 365 services like SharePoint, Teams and more.
• Enterprise-Ready & Secure: Built on Microsoft’s secure cloud, trusted for compliance and governance.
• Scalable & Dynamic: From one agent to a thousand, scale effortlessly with built-in learning features.

Explore our other blogs on Microsoft Copilot Studio

The Takeaway: Strengthening Teams with AI

This session was not merely about demonstrating a specific tool, but rather shifting thinking around AI and how deeply embedded it is in people’s day-to-day tasks. AI isn’t about replacing jobs. It’s about freeing humans to do what they do best—create, solve, and lead.

With Microsoft Copilot Studio, there’s no limit for using AI as a developer, business analyst, or a team leader. It’s now easier than ever to build personalized AI agents.

Thanks MDCA and Community Leaders!

A special thanks goes to the MDCA team and AMA Ahmedabad for putting together such an innovative event. Grateful to have been part of this journey and looking forward to what we build next—together.