In a recent YouTube video, Rafsan Huseynov delivers a comprehensive tutorial on building smart forms using Adaptive Cards within Microsoft Copilot Studio. This step-by-step guide demonstrates how to create an AI assistant that allows users to submit use case requests through interactive forms. The workflow extends from designing the adaptive card to automating data storage and embedding the solution within a SharePoint site for user accessibility.
Throughout the video, viewers are introduced to the core concepts of Adaptive Cards and their integration into Copilot Studio. Huseynov explains how these cards serve as dynamic, JSON-based UI elements, enabling developers to collect user inputs efficiently. This approach not only streamlines information gathering but also enhances user engagement within conversational AI agents.
The tutorial begins with the creation of an Adaptive Card inside a Copilot Studio topic. Using both the visual designer and direct JSON editing—sometimes with the assistance of ChatGPT—viewers learn how to customize forms with various input fields such as text boxes, dropdown menus, and date pickers. These elements are crucial for capturing structured data from users in real time.
Once the form is designed, the next phase involves configuring the card’s properties, including validation rules and the handling of invalid inputs. Huseynov emphasizes the flexibility of Adaptive Cards, noting how developers can use Power Fx formulas to dynamically adjust form content based on user context or external data. This adaptability is a key advantage, allowing forms to become more responsive and relevant to individual users.
A significant portion of the tutorial is dedicated to connecting the smart form to backend processes using Power Automate. Huseynov demonstrates how user inputs captured by the Adaptive Card are automatically mapped to variables. These variables can then trigger workflows that store submissions in a SharePoint list, ensuring that data is organized and accessible for further action.
Additionally, the video covers how to send automated notifications to operations teams when new requests are submitted. This integration streamlines communication and ensures timely follow-up on user input, highlighting the practical value of combining Copilot Studio, Adaptive Cards, and Power Automate in enterprise environments.
To facilitate seamless access, Huseynov guides viewers through the process of embedding the Copilot agent—including the smart form—directly into a SharePoint site. This step is essential for organizations aiming to provide a unified experience where users can interact with AI-driven forms without leaving their familiar workspaces.
By embedding the solution, businesses can boost user engagement and simplify internal processes. The interactive nature of Adaptive Cards keeps users within the chat interface while collecting necessary information, reducing friction and improving overall satisfaction.
While Adaptive Cards and Copilot Studio offer robust tools for building intelligent forms, there are tradeoffs to consider. For example, relying heavily on JSON and Power Fx formulas requires a certain level of technical expertise, which may present a learning curve for less experienced users. However, the inclusion of both visual and code-based authoring tools helps balance accessibility and customization.
Another challenge lies in ensuring data consistency and security, especially when integrating with external services like SharePoint and Power Automate. Organizations must carefully manage permissions and validate inputs to prevent unauthorized access or data corruption. Nonetheless, the benefits of dynamic, platform-agnostic forms often outweigh these hurdles, especially as the technology continues to evolve.
Rafsan Huseynov’s tutorial on building smart forms with Adaptive Cards in Copilot Studio provides valuable insights for organizations seeking to modernize their internal processes. By leveraging interactive forms, dynamic content generation, and seamless integrations, businesses can enhance both user experience and operational efficiency. As this approach becomes more widespread, it is likely to shape the future of conversational AI and enterprise automation.
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