Graphwise for M365 provides tools that optimize user experiences across the entire Microsoft workspace. Its integration with SharePoint, Teams, and Copilot makes your enterprise knowledge immediately accessible to your users.
Do you feel that sometimes looking for content at work is a lot like getting lost in a maze? Even if your company uses a content management system like Microsoft SharePoint, you might still have to go through countless folders, subfolders, and site collections. You want to check something quickly, but soon find yourself going in circles, hitting dead ends, and backtracking through folders.
When SharePoint is used as a shared folder, finding something in large repositories with complex folder structures is challenging. There is a lot of content inside these structures and it’s organized differently by different teams and projects. So, you often draw a blank unless you know where your document resides or some of the exact terms in the file name. Alternatively, the search returns a long list of results, too many of which are quite irrelevant, and you have to waste time sifting through them.
All this is frustrating, time-consuming, and inefficient. But when we look at the bigger picture, if teams can’t access the enterprise knowledge locked in documents, there’s also a loss of productivity, missed opportunities, compliance risks, hidden operational costs, and slower decision-making.
The Semantic AI way out of the document maze: A Graphwise for Microsoft 365 Knowledge Hub
Mazes, however, can have secret passages that help you navigate and get quickly to where you want to be. In the same way, using a Semantic AI integration with your content management system provides shortcuts that bring you to what you need.
With that in mind, Graphwise has developed a solution that clears a quick path through your document maze. Graphwise for M365 offers a SharePoint integration that addresses all of these problems. It ensures your content is findable, accessible, interoperable with your other systems, and reusable. In other words, it makes your enterprise data FAIR and increases its business value.
The solution transforms the content in your SharePoint libraries from static data into a Microsoft 365 knowledge hub that is always at your disposal. Developed with the user experience in mind, it has an easy interface and no steep learning curve.
Under the hood
Graphwise for M365 is powered by a semantic knowledge graph. It links related information across various formats and storage locations. The knowledge graph maps the disparate terminologies used in the company so that when people use different terms looking for the same document, this mapping provides an understanding that they are after the same thing.
Synchronization with Term Store
Graphwise for M365 works seamlessly with SharePoint’s native features, including Term Store – which aims to help users manage terminology and tags. However, creating and maintaining term sets in the Term Store can be challenging. A well-established taxonomy management application makes this process much smoother and also allows terms to be used across multiple applications.
The Graphwise for M365 solution easily syncs your Graphwise taxonomies with the Term Store and keeps them up-to-date. Tags from the Graphwise Thesaurus Manager are automatically added to the Managed Metadata column, ensuring consistent metadata. This compatibility also enables you to scale up integrations with other applications of the Microsoft ecosystem, thus providing the basis for a Microsoft 365 knowledge hub.
Auto-classification of documents
Graphwise for M365 also augments SharePoint’s capabilities with automated and consistent content tagging based on semantics. This makes it more than a standard library that simply stores files with limited metadata coming from the system (such as name, author, and date of creation). Instead, it adds a layer of context that contributes to much better classification, retrieval, and AI readiness. It’s like having a digital librarian close by – someone who knows how to classify every document correctly and in a way that reflects the business logic of your enterprise. Of course, if your project requires manual tagging, there’s an option to do that as well but, usually, you don’t want to tag thousands of files manually.
The concept tags come from a well-structured taxonomy, which ensures that no manual curation of tags is required, either. However, if there is anything you want to correct, the solution provides expert-assisted tagging. You can go into a document at any time, remove tags, add new ones, or change them with better ones from the taxonomy with just a click of your mouse.
The text mining in Graphwise for Microsoft 365 also delivers a score between 0 and 100 to evaluate how important a tag is for a document and you can set a threshold higher than a certain score when you configure the system. But an expert might decide that even if a tag gets a score below your threshold, it is still important for the document and add it manually. Or they might find a tag is too generic and remove it.
Finally, after all your documents have been automatically annotated and (if necessary) curated by experts, the embedded semantic search can start pulling relevant results.
Semantic Search
Graphwise for M365 uses Semantic AI to enable smarter search and better information exchange. It optimizes your search environment with quality metadata from the automated tagging and returns results in seconds. The search looks for content based on meaning (semantics), not just keywords. It also allows you to narrow down results with tailored facets and delivers information quickly and efficiently.
Let’s take a closer look. Let’s say you are interested in the renewable energy domain and you are looking for information about solar cells. Most likely, there are many documents in various formats on this topic scattered across your SharePoint libraries. And, if you do a standard SharePoint search, you will get a long list of results showing every document with the word “solar” or “cells” in the title.
Instead, let’s open the SharePoint Semantic Search. As a start, you can choose from some predefined search domains. If you choose “Renewable Energy” and then type “solar cells”, you will get a result page with relevant results in seconds. It will feature an image, some synonyms to your search terms, more general as well as more specific concepts, related concepts, and a definition. All of these are clickable and, for example, you can click any of the related tags and see other suggested content related to your search.
Further down you will see a number of documents in different formats coming from various parts of your SharePoint libraries. Instead of pages and pages of results you have to sift through, there are only documents specifically about solar cells. In our case, the results page shows 3 documents. There is also a summary of what each one is about and a preview of the selected tags. Now all you have to do is click on a document and focus on your task.
You can also refine your search criteria and narrow down the results based not only on the document-level metadata generated by the system but also on semantic concepts related to the documents. In the case of our search for solar cells, the available facets are Climate Compatible Development, Energy Efficiency, and Renewable Energy.
The way ahead with Microsoft Teams and Copilot
Using automatic concept tagging, Term Store synchronization, and semantic search will improve the end-user experience within your SharePoint. If your company uses SharePoint extensively, Graphwise for M365 will help you save a lot of resources, avoid missing opportunities, enable quicker decision-making, and nurture other AI initiatives.
But that is not the whole story. As your organization grows and uses tools like Microsoft Teams, the number of channels, chats, and files will only pile up, making finding the information more difficult and impacting efficient teamwork. In addition, now that AI-powered productivity is quickly becoming the norm, you will also want to adopt tools like Microsoft Copilot to reduce repetitive work and make collaboration smoother. But, as we all know, such AI assistants can fail to perform, producing misleading results or offering vague suggestions.
To address these challenges, Graphwise for M365 offers tools that optimize user experiences across the entire Microsoft workspace. The Beta version of its Teams integration automatically tags files and makes them accessible directly on the Teams platform, enabling team members to work better together. There is also a Beta integration with Copilot, which provides more trustworthy and accurate answers to questions thanks to the knowledge graph that powers it. In this way, by improving search, tagging, and knowledge linking within the Microsoft ecosystem, the solution transforms M365 environments from a cluttered document space into an organized, smart Microsoft 365 knowledge hub.
