
A practical walkthrough of 15 Copilot Studio agent scenarios covering HR, IT, finance, procurement, sales and cloud operations — with integration details, conversation flows and governance considerations for each one.
Copilot Studio makes building agents simple , deploying them from Dev to Production correctly is the tricky part. This post walks through real‑world Copilot Studio ALM: creating agents inside solutions, connecting to source control, and moving the...
It's time for Agent AI! In this blog, we'll explore how to create an automation agent using Microsoft Copilot Studio. As part of a case study, I prepared an Excel file containing birthday products. We'll see how the agent can find the right produc...
The Model Context Protocol (MCP) is a groundbreaking open standard designed to create seamless connections between AI agents, copilots, and external systems, tools, and data sources.Think of MCP as the "universal adapter" for AI. Instead of requir...
Discover how to create a birthday party planner using Copilot Studio and Microsoft Open AI in this blog. Learn to streamline party planning with AI-driven tools, from generating creative ideas to managing logistics, making your celebrations unfor...
Model Context Protocol (MCP) represents a new standard for building secure and scalable AI extensions. In this blog, we explore how MCP enables developers to build modular, plug-and-play capabilities that Copilot Studio agents can invoke, making t...
When we build automation, the system design becomes complex if you want to process data or if the automation we are trying to systematically solve needs more control from monitoring or the endpoint where the user can interact. The complexity arise...
Open-source Large Language Models (LLMs) have become popular for building AI-driven solutions due to their flexibility and cost-effectiveness. Integrating these LLMs in Microsoft Copilot Studio can be a game-changer, helping developers enhance the...