Internal chatbot
Give your data a voice
It's built to turn your SharePoint and OneDrive into a searchable assistant.
Where did we agree the torque spec for the LX2?
180 Nm — confirmed in the September site walkthrough.
One quarter of knowledge workers' time is lost to productivity drains
APQC surveyed 982 knowledge workers and found the average one spends only 30 of their 40 hours on productive work — including 2.8 hours every week just looking for or requesting information somebody already had.
APQC, 2021 · Read the survey
Overview
How the chatbot works
It reads the files your team already keeps, and every answer points back at exactly where it came from.
SharePointTeam sites and libraries
OneDrivePersonal and shared folders
OutlookEmail threadsSharePoint, OneDrive and Outlook, read where they already are
SharePointTeam sites and librariesOneDrivePersonal and shared foldersOutlookEmail threadsSharePoint, OneDrive and Outlook, read where they already are
Everything it can read
PDFs are the easy part. It can also read drawings, scanned docs, spreadsheets, recordings and more — making every one of them citable, down to the page, slide or even a second.
What this is actually costing you
See your real monthly cost of searching manually or with Microsoft Copilot
Compare against
$788
$450
$290
Net monthly gain — Microsoft Copilot
−$1,238
Net monthly gain — Your Azure-hosted chatbot
+$419
Assumes 21 working days a month.
What Microsoft Copilot can really do?
Microsoft CopilotYour Azure-hosted chatbotSelf-hosted on Azure
Hosted entirely inside your private Azure tenant
Nothing is copied onto a vendor's platform and there are no seats to rent. Your documents stay inside the boundary your own security policy already covers.
Talk through the setupAzureSharePointOneDriveYour Tenant & Data
Everything runs inside your own Azure subscription. No document is copied out to a third party.
No Public Endpoints
All traffic goes over private endpoints, so there are no public IP addresses exposed to the internet.
Zero Message Logs
The Azure OpenAI models are configured to retain nothing. Your questions are neither stored nor used for training.
Usage-Based Pricing
You pay for what it uses rather than per person — and new model generations arrive materially cheaper, which passes straight on to you.
Wherever your team already works
Nobody adopts a tool that lives in one more browser tab. It goes where the question actually comes up.
Microsoft TeamsWhat torque spec did we agree for the LX2?
180 Nm — confirmed in the September commissioning notes.
Joins meetings and answers in the chat
Microsoft TeamsWhat torque spec did we agree for the LX2?
180 Nm — confirmed in the September commissioning notes.
Joins meetings and answers in the chat
“Even Copilot couldn't help us.”
- 10x
- faster information retrieval
- 30%
- less time spent searching for information in videos