Artificial intelligence has become part of SharePoint, but leveraging it requires careful planning. AI assistance is not just a technical add-on; it can genuinely transform everyday organizational work — provided the implementation is controlled and driven by business needs.
What are the benefits of well-planned AI assistance in SharePoint?
- More efficient content creation and communication: Intelligent agents and Copilot features speed up page and text creation while reducing manual work. This frees time for more important tasks and enables higher-quality content production.
- Improved information management and discoverability: Automatic metadata enrichment and classification make searching and managing information easier. Users find what they need faster, improving overall organizational efficiency.
- Controlled and secure implementation: AI solutions are designed with data protection and regulations (e.g., GDPR, AI Act) in mind. This ensures AI supports processes without creating risks for information management or communication reliability.
- Cost efficiency and license optimization: When AI use cases and benefits are clearly identified for different user groups, licenses and resources can be allocated wisely.
- Enhanced user experience and productivity: Well-designed AI supports employees in their daily work, reduces unnecessary hassle, and makes work more meaningful.
- Strategic foundation for AI development: A shared understanding of AI’s role in SharePoint enables long-term development and prevents fragmented solutions.
How are these benefits ensured in practice?
The implementation of AI assistance in SharePoint should start with a workshop series that covers both technical and functional perspectives. In these workshops, use cases are planned, data protection and compliance are addressed, and participants practice using AI in real scenarios. The outcome is a shared vision and concrete guidelines that ensure AI assistance supports organizational goals—not just technically, but by delivering real value.
The workshop project includes both pre-work and hands-on exercises during the workshops. Pre-work helps participants reflect on their own roles and organizational needs, identifying areas where AI in SharePoint could provide solutions. This ensures everyone arrives prepared and discussions are meaningful from the start.
Workshop exercises allow participants to try AI-assisted features in practice—such as creating content, enriching document metadata, or managing permissions with AI agents—and apply what they learn immediately. Both elements are crucial: pre-work lays the foundation for shared discussion, and exercises help embed new practices into daily operations.
Additionally, participants’ understanding of AI’s possibilities and limitations grows significantly during the workshops. Hands-on exercises allow them to experiment with AI-assisted features—such as creating content, enriching document metadata, or managing access rights via AI agents. Ideally, solutions developed during the exercises can be implemented directly in the real SharePoint environment, enabling quick adoption and supporting organizational goals.
Workshop Project – How Do We Proceed?
The workshop project consists of five phases, during which participants will both plan and experiment with AI-assisted solutions in SharePoint:
- Introduction (2h): An overview for all participants on AI’s possibilities and limitations in SharePoint.
- AI for Content Creation (2h): Intranet content owners and managers learn to use AI for creating content and improving discoverability.
- AI for Document Management (2h): Document management leads and library administrators explore AI’s potential in information management.
- AI & SharePoint – Governance Tools (1h): Technical administrators and key users receive tools for managing AI solutions and ensuring data protection.
- Summary and Conclusion (1h): All participants consolidate learnings and agree on next steps.
After the workshop project, the client receives a concrete summary document capturing decisions, guidelines, and future development ideas. This includes identified use cases, data protection and compliance considerations, and agreed next steps for leveraging AI assistance in SharePoint. The document serves as a shared reference and roadmap for the organization’s AI development in the SharePoint environment.
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Writer:

Sanna Jackson
Head of Delivery, Senior Consultant