SharePoint AI: Create Docs & Dashboards

Key insights

• AI in SharePoint (overview)
  In a recent demo video, Microsoft shows AI built into SharePoint that turns natural-language prompts into real business files and site elements.
  The AI can create Word, Excel, PowerPoint, HTML dashboards, and permission reports directly inside SharePoint.
• Document and library generation
  Use the Floating Action Button or + New menus (for pages or libraries) to pick AI-assisted creation and describe the library or document you need.
  The AI proposes names, descriptions, metadata columns, and can import a sample file to shape structure before you click Create.
• Dashboards and reports
  Prompt the AI (for example, “Create a Q2 sales dashboard by region”) and it generates an Excel with charts plus a SharePoint page with a chart or Power BI web part for viewing.
  Note: the SharePoint Chart web part gives a snapshot; use Power BI for live, real-time dashboards.
• Structured documents and templates
  The AI detects form fields in Word files to build fillable templates and converts prompt responses into structured, reusable documents.
  It also helps auto-extract metadata and populate library columns so files stay organized as content grows.
• Copilot, SharePoint Agents and proactive authoring
  The system acts as a co-author: it suggests full site structures, drafts page sections, and offers Copilot Authoring for context-aware content creation.
  SharePoint Agents (AI experts grounded in specific documents) can answer questions, summarize content, and extract insights from your files.
• Benefits, limits and governance
  AI speeds content creation, enforces consistency with templates and metadata, and requires no code while respecting user permissions and file context.
  These features are in public preview and support model flexibility (including models such as Anthropic’s Claude); review governance and data policies before enterprise use.

In a recent YouTube video, Ami Diamond [MVP], a man and recognized SharePoint expert, demonstrates how Microsoft’s new AI in SharePoint tools can create documents and dashboards directly from simple natural language prompts. The video walks through generating Word, Excel, and PowerPoint files, as well as HTML dashboards and permission reports, from within SharePoint itself. Moreover, Ami shows how the feature can organize folders, build new document libraries, and produce structured content automatically, which together aim to speed up routine content tasks. Overall, the demonstration frames these capabilities as a way to make SharePoint a smarter workspace for document management and site creation.

How the Feature Works

First, Ami highlights that users can trigger AI-assisted actions from the site interface, including a floating action button or the AI-assisted creation options when adding a new document library or page. Next, he inputs plain-language prompts—such as asking for a dashboard showing regional sales—after which the system generates files, configures metadata columns, and suggests a library structure. In the demo, the AI also creates charts and places a snapshot on a SharePoint page, while offering Power BI as the path for live, real-time visuals. Therefore, the tool acts as a co-author that proposes complete structures and content sections rather than only offering minor text edits.

Examples and Use Cases Shown

Ami uses clear examples to show practical outcomes: a Word contract template with detected fillable fields; an Excel file with charts and pivot-ready tables; and a PowerPoint deck assembled from a short brief. He also demonstrates generating an HTML-style dashboard page and a permissions report that surfaces current access settings, which can help security reviews. Furthermore, the video shows how uploading a sample file can help the AI mirror an organization’s preferred formatting and metadata rules, thereby improving consistency across generated documents. Consequently, organizations can use these capabilities for onboarding kits, policy pages, recurring reports, and more.

Tradeoffs: Speed vs. Control

However, Ami emphasizes several tradeoffs to consider when adopting this automation. For example, while AI accelerates document creation, it can sometimes infer metadata or structure imperfectly, so manual review remains important to ensure legal or regulatory compliance. In addition, the Chart web part created in SharePoint provides a useful snapshot, yet it is not a live analytics source; therefore, teams requiring up-to-the-minute dashboards must still integrate Power BI. Thus, balancing speed with governance and accuracy requires clear processes for review, version control, and template validation.

Challenges and Governance Considerations

Moreover, the video touches on challenges related to permissions, data grounding, and model behavior: AI outputs should respect user access and be grounded in relevant documents to avoid generating off-target content. Ami notes that model flexibility—such as Microsoft’s option to use different underlying models like Claude in some scenarios—adds capability but also requires attention to data residency and compliance requirements. Additionally, organizations must decide how much autonomy to grant these agents versus retaining human oversight, which brings up questions about auditing, change tracking, and accountability systems. Therefore, IT and information managers must define guardrails before broad rollout.

Adoption Steps and Practical Tips

Finally, Ami offers pragmatic advice for teams starting with the preview: begin with low-risk use cases such as template generation and internal dashboards, and require human validation for policy or legal documents. Next, pilot the AI-assisted document libraries with a small set of sample files to refine metadata templates and reduce downstream cleanup. Additionally, train content owners on prompt best practices and maintain a feedback loop so the system learns the organization’s style and constraints over time. In this way, teams can gain efficiency while keeping control and ensuring content quality.

In summary, the YouTube video by Ami Diamond [MVP] presents AI in SharePoint as a practical step toward automating routine content tasks, while also making clear the need to manage tradeoffs between speed and control. As organizations evaluate the preview, they should weigh benefits like faster production and consistency against governance, privacy, and accuracy concerns, and deploy the feature with staged pilots and review processes. Consequently, this capability may change how teams create and manage files in SharePoint, provided they pair automation with thoughtful oversight.

Keywords

AI in SharePoint, SharePoint AI features, SharePoint document automation, Create documents in SharePoint, SharePoint dashboard creation, Power BI and SharePoint, SharePoint Syntex tutorials, AI-powered SharePoint workflows