Microsoft Copilot Studio
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Microsoft Copilot Studio
Overview :
Microsoft Copilot Studio is an end-to-end conversational AI platform that allows users to create and customize AI assistants using natural language or a graphical interface to meet internal or external needs. Built on top-tier conversational AI technology, it integrates with Azure AI Studio and other applications.
Target Users :
Target audience: Businesses and developers, especially those seeking to improve operational efficiency, enhance customer interactions, and customize services through AI technologies.
Total Visits: 1154.6M
Top Region: US(20.76%)
Website Views : 76.2K
Use Cases
City of Kelowna uses Microsoft Copilot Studio to build an assistant that revolutionizes how it serves citizens and builders.
Copilot Studio has allowed us to reduce support team workloads and costs while increasing employee engagement and loyalty.
Copilot Studio will enable us to elevate the customer experience, accelerate time to market, and achieve our digital transformation strategy.
Features
Create Custom Assistants: Design conversational applications using generative AI and large language models.
Customize Microsoft 365 Copilot: Build extensions within Copilot to meet your business workflow requirements.
Connect: Choose from thousands of pre-built data connectors to enhance assistant efficiency.
Design: Design operations using Power Platform connectors, Power Automate workflows, custom themes, and AI prompts.
Extend: Easily distribute assistants across multiple channels, including websites and social media.
Extend Business Applications: Create modern conversational experiences, expanding the capabilities and reach of business applications.
Use Low-Code Applications: Connect Copilot Studio with low-code applications, workflows, websites, data, and analytics.
How to Use
1. Contact a Microsoft sales representative or start a free trial.
2. Register and log in to the Microsoft Copilot Studio platform.
3. Use the graphical development environment to design assistants using natural language or a graphical interface.
4. Build assistants using generative AI, conversational design, plugin features, workflow automation, and built-in analytics.
5. Test the assistant to ensure it meets business requirements.
6. Publish the assistant to make it available to employees and customers on websites and other channels.
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