
AI Company Knowledge Hub
Unifies company documents, wikis and drives into one cited Q&A assistant.
SharePoint and OneDrive files found from one search, ranked with a cited snippet, inside the Graph permissions IT approves.
In a large Microsoft 365 tenant, nobody remembers which SharePoint site holds what, and OneDrive folders multiply. This search bar gives up to 50 people one ranked search across SharePoint, OneDrive and other approved Microsoft 365 data, with a cited snippet from each result. Your IT team controls every Microsoft Graph permission, and results are filtered by group.

AI Internal Search for Microsoft 365 gives up to 50 people one search bar across SharePoint sites, OneDrive and other approved Microsoft 365 data, returning ranked results with a cited snippet from each. It connects through an Azure app registration with Microsoft Graph permissions your IT team controls. Staff can search from Teams.
SharePoint sprawl costs real time: people search site by site, give up, and recreate documents that already exist. Managers then find three versions of the same policy. This edition ranks results across your approved Microsoft 365 content with a cited snippet, so staff find the right file first and leadership material stays with leadership. Access runs through an Azure app registration with named Graph permissions, not a broad service account. The Scope Card fixes the sites, document volume, permission groups and benchmark queries before you order.
One search bar spans the SharePoint sites, OneDrive and other Microsoft 365 data you approve. Ranked results show a cited snippet, so people find a file without knowing its site.
The connection runs through an Azure app registration with Microsoft Graph permissions your IT team controls. The field mapping documents what is read, and keys stay in your hands.
Microsoft Teams can be the one interface, so staff search from the place they already work. Up to 50 people get cited results without switching windows.
Results follow up to three permission groups agreed during the build. Restricted content stays limited to the people meant to see it. The admin guide records how the groups are set up.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $10,400 |
| Express | 15–25 working days | $11,450 |
| Rush | 10–20 working days | $12,500 |
Before you start: List the SharePoint sites and OneDrive areas in scope and who owns each. Time a few searches staff run often today.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
You pay for the build once. After launch, AI model usage, the vector database and hosting run roughly $50 to $300 a month in your own accounts, depending on how much is indexed and how often people search. Microsoft 365 licensing stays as it is.
Testing usage during the build is billed to your accounts too.
Ask about running costsIndexing beyond 2,000 documents, adding a second interface or more than 50 users, or mapping custom Microsoft 365 objects needs a written Change Quote, sent of your checkout note.
Request a custom versionMonthly maintenance includes monitoring, fixes and monthly change hours for things such as adding a SharePoint site, adjusting Graph permissions or regrouping users. Maintenance starts after the 30 days of support and can be cancelled any month.
$520/mo (5% of the build price a month, includes 5 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A search add-on is licensed per seat | A Microsoft partner quotes a project | Ours is one fixed price, shown before you buy |
| Access model | Varies, sometimes wide consent at install | Depends on the brief | Ours uses the Graph permissions your IT team lists and approves |
| Results | File titles and modified dates | Depends on the brief | Ours ranks by meaning, with a cited snippet |
| Delivery | Fast to switch on, slow to tune | Usually several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
Only those agreed on the 30-minute scoping call, usually read access to the SharePoint sites and OneDrive content being indexed, plus Outlook or Teams data if you choose to include it. Your admin creates the Azure app registration and can remove any permission at any time.
Yes, if you pick Teams as the one interface in scope. Users type a query where they already work and get ranked results with snippets. A web app or Slack is possible instead. Running two interfaces at once is outside this Scope Card and needs a Change Quote.
No, only the sites and libraries listed in the field mapping, up to 2,000 documents in total. That keeps archives and private project sites out unless you add them. Expanding to more sites later is a maintenance change if it fits the limit, or a Change Quote if it does not.
No. Each indexed source is placed in one of up to 3 permission groups, and every result is filtered against the searcher's group before it is shown. The groups are approved by your decision-maker before launch and checked during the 60-query benchmark run.
Every delivery option includes the Microsoft Graph connection through your Azure app registration, indexing of approved SharePoint and OneDrive content, three permission groups, 60 benchmark queries and a recorded sixty-minute handoff session. The delivery panel shows the standard date and the faster express and rush options before you order.
Roughly $50 to $300 a month for AI model usage, the vector database and hosting, paid in your own accounts. Costs grow with indexed documents and search volume across your up to 50 users. Microsoft 365 licenses are unaffected and remain billed by Microsoft.
Order AI Internal Search for Microsoft 365 and your team finds SharePoint and OneDrive files from one search on a fixed delivery date, ranked, cited and filtered by group.

Unifies company documents, wikis and drives into one cited Q&A assistant.


Turns scattered documents into a structured, maintained knowledge base.