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Microsoft Copilot Studio offers a flexible licensing model built around Copilot Credits, with pay-as-you-go and subscription options to suit different organizational needs. This comprehensive guide explains how credits are consumed, tracked, and managed across various AI agent activities, helping organizations make informed decisions about their Copilot Studio implementation.
A technical comparison of Copilot Studio Agent Builder and Microsoft Copilot Studio, highlighting their differences in target users, capabilities, integration options, customization, deployment, and governance.
The Webchat Playground in the Copilot Studio Kit is a practical utility for customising the user interface of agent webchats. It streamlines the design process by offering a visual editor, live preview, and export capabilities. For developers working with Microsoft Copilot Studio, this tool provides a structured and efficient way to align chat interfaces with organisational branding and accessibility standards.
Exploring the integration of Azure Communication Services with Microsoft Copilot Studio to create a voice channel for customer interactions.
Copilot Studio Kit enhances Microsoft Copilot Studio with powerful tools for testing, monitoring, and optimizing AI agents. This solution enables organizations to measure agent performance through automated testing, conversation analytics, and advanced monitoring, allowing data-driven improvements to custom AI solutions. By providing robust quality assurance and governance capabilities, the Kit helps ensure AI agents deliver reliable, high-quality responses while meeting enterprise requirements for scalability and compliance.
Motivation Low-code development is a contemporary method in software development that allows developers to construct applications with minimal coding by utilizing graphical interfaces and pre-built components. Low-code platforms provide numerous ...
Note: This article showcases a preview feature. Preview features are not intended for production use and may possess limited functionality. These features are made available prior to an official release, allowing customers to gain early access an...
5. part of a series building the foundation - part 1 & adding your own data - part 2 & adding a chat history - part 3 & adding channels and taking actions on the results part 4 were published before. Motivation When working with...
Third part of a series building the foundation - part 1 & adding your own data - part 2 & adding a chat history - part 3 were published before Motivation You can deploy your model to Power Virtual Agents directly from Azure OpenAI St...
Third part of a series building the foundation - part 1 & adding your own data - part 2 were published before Motivation After deploying ownGPT and incorporating our company data into the bot’s knowledge base, we aim to provide our users wit...
second part of a series part 1 (the basics and installing the gui) of the series was publish a week earlier Motivation In this second part of the series, we will learn how to customize our chatGPT clone with our own data using Azure OpenAI Serv...
Microsoft MVP & MCT | Low Code Hacker | Copilot, Copilot Studio, Power Platform & Azure Architect
I specialize in conversational AI, robotic process automation, Microsoft Power Platform with focus on Copilot Studio, delving into the intricate details that keep architects up at night. I highly value your feedback on my articles and would love to invite you to a professional discussion. As a Principal Architect at NTT DATA, my focus is on Microsoft Power Platform and Azure.
