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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.
Microsoft Copilot Studio's new deep reasoning models significantly advance AI agent capabilities, enabling complex problem-solving, logical analysis, and multi-step decision-making. This feature empowers organizations to build virtual agents that can analyze unstructured data, make contextual recommendations, and support sophisticated business processes—all while maintaining accuracy and thoughtful analysis. Learn how deep reasoning models are transforming AI agents from simple Q&A tools into powerful decision-support systems for business intelligence, operations, education, and customer support.
Learn how to build conversational AI applications using Microsoft Fabric Data Agents and Azure AI Agents.
Agent flows are a powerful way to automate repetitive tasks and integrate your apps and services. These intelligent automation workflows can be triggered manually, by other automated events or agents, or based on a schedule, providing flexible options for process automation. By leveraging agent flows, organizations can streamline operations, reduce manual intervention, and ensure consistent execution of business processes.
This article explores the implementation of a pay-as-you-go (PAYG) payment model for Copilot Studio agents and agent flows, highlighting its economic advantages, practical setup guidance, and monitoring strategies. By adopting the PAYG model, organizations can optimize resource allocation, reduce upfront costs, and maintain operational continuity while leveraging advanced AI capabilities.
Learn how to integrate AI Builder prompts into Microsoft Copilot Studio agents to enhance workflows and productivity.
The Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It enables seamless connections to data sources and tools through a client-server architecture, offering features like pre-built integrations, flexibility, security, extensibility, and interoperability.
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.
