Connecting SharePoint content to an AI knowledge base

You can connect SharePoint content to an AI knowledge base without switching systems: SharePoint stays the place where documents are stored and where people work together, while the knowledge base connects to selected libraries and adds an AI search on top. The team asks questions in everyday language and gets answers with sources – clicking a source opens the original document in SharePoint. No migration, no duplicate upkeep, no disruption to the way people already work.

In brief

• In many companies SharePoint is well established and will stay that way – connecting it to an AI knowledge base does not mean switching systems, it adds a search layer.
• The built-in SharePoint search finds keywords and file names; the AI search answers questions in everyday language and backs up every answer with the source document.
• You connect selected libraries; synchronisation keeps the content up to date, and text recognition makes scanned PDFs searchable.
• The system fills in field values such as customer, project, installation or date itself; a person confirms the document type, because that determines who may see a document.
• Permissions are settled before connecting, not afterwards: confidential areas are left out or tightly restricted.
• The biggest gain comes when SharePoint is combined with the other sources – mailboxes, file servers, voice notes – and one search covers them all.

Why isn’t the SharePoint search enough for many companies?

To be fair from the outset: as a platform for storing documents and working together, SharePoint does a lot well. Documents are stored centrally rather than on local drives, several people can work on a file at once, versions are tracked, and through Microsoft 365 everything is linked to Outlook and Teams. Companies that have introduced it have taken a real step forward – and it would make no sense to undo that.

The disappointment comes when you search. The built-in search finds file names and keywords – but if you ask “How did we set up the system at the Berger site?”, you get a list of hits rather than an answer and have to work through the documents yourself. If you use a different word from the one in the document, you find nothing. And the content of old scanned PDFs stays invisible, because technically a scan is an image. On top of that comes sprawl: after a few years, knowledge is spread across team sites, subsites and libraries whose logic only the people who set them up still understand. The knowledge is there – it just doesn’t answer.

What does “connect instead of migrate” mean?

Connecting means the documents stay where they are. The knowledge base connects to the selected SharePoint libraries, reads the content and turns it into a searchable body of knowledge – rather like a very thorough index for a library whose shelves nobody rearranges. Opening, editing and filing still happen in SharePoint; the knowledge base works with the content and links to the original in every answer.

That is the key difference from a migration, which means moving the content into a new system. A move would be expensive and risky, would disrupt established processes – and isn’t needed for what you are actually trying to achieve. The aim is not a new place to store documents but for the knowledge you already have to answer questions at last. Nothing changes in the way employees work; they simply get a new, much shorter route to information.

How does the connection work in practice?

The connection follows a straightforward pattern:

1. Select libraries. Together we decide which SharePoint areas contain knowledge the team should be able to search – and which are left out.
2. Set permissions. For each connected area, we define which roles in the knowledge base may see its content. Confidential material stays tightly restricted.
3. Make the content searchable. The knowledge base reads the documents. Scanned PDFs go through text recognition (OCR – turning an image into searchable text). The system fills in details such as customer, project, installation, date and topic itself; what still needs confirming is the document type, because that determines who gets to see a document. This confirmation happens in the review area and takes a single click for clear-cut documents; the review area only asks questions where the document itself is unclear.
4. Keep it in sync. New and changed documents are added automatically and go through the same process, and deleted ones disappear from the search. There is no second filing system to maintain.

From then on, SharePoint content is treated like every other source in the knowledge base: every AI answer names the source document, because AI can be wrong – and you can check it against the original in SharePoint, one click away.

Which system does what: SharePoint, ERP and knowledge base?

To avoid duplication, it helps to divide the work clearly between the systems:

System	Task	Typical content
SharePoint / Microsoft 365	Storage and collaboration	Current documents, team sites, joint editing
ERP / accounting	Leading system for documents and figures	Orders, invoices, delivery notes, payment status
AI knowledge base	Search and answers across everything	The how: instructions, reports, experience – with sources

The familiar rule of thumb applies here too: the ERP knows what happened – the knowledge base knows how it’s done. SharePoint, for its part, is where many of these how-to documents are created and stored. The knowledge base takes nothing away from either system; it lets you query their content together – even across systems, for example when the documents for one project are in SharePoint, the emails in a mailbox and the reports on the file server.

What are the limits of the connection?

It is only fair to be honest about them. First, connecting does not make outdated content current. If SharePoint contains three versions of a work instruction, the AI cannot tell which one applies either – once everything is findable, contradictions like this come to light and have to be resolved once, on their merits. Second, very old, self-hosted SharePoint installations from earlier generations are technically harder to connect than Microsoft 365; this needs checking in advance. Third, with extremely poor old scans even the best text recognition has its limits – badly faded material stays faded.

Finally, data protection: connecting makes knowledge easier to find – including knowledge that used to be protected only because nobody could find it. That is why permissions belong at the start of the project. junova is designed for this, with role management, data storage on EU servers and a data processing agreement (DPA); your documents are not used to train third-party AI models. Which areas are open to whom, however, is still the company’s decision – and it is made before connecting, not afterwards.

How do you get started with your SharePoint content?

The tried-and-tested approach: connect one or two libraries that people use a lot day to day – typically where instructions, reports or project documentation are stored – try them out for a few weeks with real questions from the team, and then expand. This soon shows which areas bring the most benefit and where permissions or old content need tightening up.

SharePoint is rarely the only source: the company’s knowledge is only complete once it is combined with email mailboxes, file servers, scans and voice notes. The overview Connecting documents and systems shows which sources there are and the order in which connecting them has worked best. The implementation process page describes how the introduction runs as a project – from choosing the first library to everyday use.