SharePoint Lists: Use openCopilotPane

Key insights

• openCopilotPane: A new SharePoint list row action demoed by Chris Kent that opens the Copilot pane directly from a list or library item.
  It launches Copilot from the specific row so users can act on the item without leaving the list view.
• Core capabilities: The action can open the Copilot pane, pass a predefined static prompt, and supply the clicked item as item context for responses.
  It can also generate content and update related columns while working inside a formatted list or gallery view.
• JSON-based list formatting: This feature extends the existing JSON model for custom row actions, so makers configure the button with the same low-code formatting approach used today.
  That keeps the change focused on display and behavior without altering underlying list data.
• Benefits: Users get faster access to AI help tied to the exact item they are working on, creating more contextual AI experiences and smoother workflows inside SharePoint.
  Teams can stay in SharePoint instead of switching tools to generate or update content.
• Practical use cases: Good scenarios include drafting outputs like PowerPoint decks, summarizing item data, and triggering follow-up actions or updates from the list row.
  It helps solution builders add immediate AI assistance to work items, requests, and records.
• Open questions: Public material so far is demo-focused, so details on formal documentation, JSON schema, licensing, and rollout scope remain unclear.
  Expect official docs and guidance to appear after the community demos and initial previews.

The Microsoft-authored YouTube demo, presented during a Microsoft 365 & Power Platform community call, showcases a new SharePoint list formatting row action called openCopilotPane. In the video, presenter Chris Kent demonstrates how a formatted button placed on a list or library row can open Copilot directly for that item, pass a static prompt, and use the selected item as context to produce content such as PowerPoint decks or to update related columns. The demo emphasizes keeping users within the list experience instead of forcing them to switch interfaces, which could speed routine tasks. As a result, the feature looks positioned to tighten the connection between item data and AI-driven assistance.

How the feature works

At its core, the demo shows that List Formatting JSON can include a custom row action to launch Copilot from a single item. The button can be defined to pass a fixed prompt while the clicked item supplies the context that Copilot uses to respond. This means that even fields not visible in the current view can be used by the AI if the item context is included. Consequently, makers can design actions that trigger content generation, summaries, or updates tied directly to a list row.

Moreover, the presenter demonstrated that the action works inside customized gallery views, so it adapts to visual presentations beyond the standard list grid. The solution relies on existing list-formatting patterns, so makers familiar with JSON formatting will find the approach familiar. However, the demo did not present a formal schema reference in full, leaving some implementation details to be discovered. Nonetheless, the behavior shown in the video makes clear the intended flow from a row button to a Copilot session.

Practical benefits for users and makers

First, this approach offers faster access to AI from the precise item in question, which improves context and reduces friction. Users can ask Copilot to draft content, summarize item information, or initiate downstream updates without leaving the SharePoint experience. Second, because it builds on the low-code List Formatting model, solution builders can add the action without heavy development work, lowering the entry barrier for richer workflows. As a result, teams that already rely on SharePoint lists may gain immediate productivity improvements.

At the same time, integrating AI at the row level encourages more consistent and repeatable interactions, since the same button can trigger standardized prompts and actions. This helps organizations scale assistance patterns across many items and views. Yet, those gains assume the organization can manage governance, training, and template consistency so that automated outputs remain reliable and appropriate. Therefore, the benefit is notable but requires complementary controls and design discipline.

Tradeoffs and design challenges

While the demo highlights convenience, it also surfaces tradeoffs around control, privacy, and complexity. On one hand, passing full item context to Copilot can yield richer, more relevant outputs; on the other hand, explicit decisions are required about which fields to surface or redact to avoid sharing sensitive data. Designers must balance the desire for context against the need to protect privacy and comply with policy. Thus, sensible defaults and review processes will be important when widely deploying the action.

Additionally, the video did not fully detail licensing, rollout scope, or the final JSON schema, which complicates planning for enterprise adoption. Administrators will need clear guidance to understand where this row action is supported and what permissions or service tiers it requires. Finally, because the action can trigger content generation and updates, teams must plan how to validate and monitor automated outputs to prevent unwanted changes or degraded data quality over time.

Implementation considerations for developers

For makers, the path forward appears to use the existing JSON-based formatting model, extending it with the openCopilotPane action in row definitions. This keeps the implementation within the familiar list-formatting framework and allows reuse of existing patterns. Nevertheless, developers should prototype in controlled environments to assess how context is passed and how the UI behaves across views and device sizes. Early testing will also reveal how Copilot responses integrate with column updates and whether the generated content meets business expectations.

Furthermore, teams should weigh tradeoffs between static prompts and dynamic prompt composition, because static prompts simplify predictability while dynamic prompts offer greater specificity but increase complexity. In practice, combining static prompts with contextual tokens from the item can provide a good balance between control and flexibility. Overall, careful design, testing, and governance will help organizations realize the feature’s benefits while managing the risks.

Outlook and next steps

The demo captured in the Microsoft community call signals a clear direction: bringing AI tools closer to the items users work with in SharePoint. Consequently, the openCopilotPane action could become a helpful way to speed content creation and decision-making at the item level. However, final adoption will depend on official documentation, clarified licensing, and practical guidance for governance and security. Until then, makers and administrators should watch for updates, run pilots, and document patterns that suit their teams.

In summary, the YouTube demo provides a concrete preview of how row-level Copilot access can reshape list-based workflows. Therefore, organizations that rely on SharePoint lists should evaluate the concept, test its fit for their scenarios, and plan governance to balance productivity with safety. With thoughtful adoption, this feature has the potential to streamline many routine tasks while keeping users in the context they already use.

Keywords

SharePoint list formatting, openCopilotPane action, SharePoint Copilot integration, custom list formatting SharePoint, Microsoft 365 Copilot lists, List Formatting action tutorial, enhance SharePoint lists, add Copilot to SharePoint lists