Use case · By industry
Keep patient data away from unapproved AI.
Find unapproved AI, then offer a governed option with masking.
Healthcare
Patient details can reach AI tools nobody approved.
A note-taker in clinic
Discovery finds a meeting note-taker in a clinic team.
A note-taker joins the meeting.
An approved assistant
The team moves to an assistant behind msharti.
Summarise this account.
Masked identifiers
Patient identifiers are masked before the AI sees them.
Prepare the member reply.
See it work
Watch it happen.
Step 1 of 4: Request
“Summarise today's consultation notes for patient P-2093.”
Every request starts with a named person and a named agent.
Simplified example. Names and records are invented.
Text version
Clinic team (Department) asks Approved assistant: "Summarise today's consultation notes for patient P-2093." The security check returns: Masked. Every step is written to the audit log.
01 Request
Clinic team · Department · Approved assistant
Summarise today's consultation notes for patient P-2093.
02 Security check
Masked
- Check
- Sensitive data scan
- Found
- Patient identifiers
- Action
- Masked before the model saw them
The summary works. The identifiers never leave.
03 Human approval
Not needed
The request was handled at the check. Nothing waited for a person.
04 Audit log
- 09:14:02 · request · clinic-a · clinic-assistant · summarise_notes P-2093
- 09:14:02 · check · patient identifiers
- 09:14:02 · masked · masked: 3 · prompt sent
- 09:14:02 · logged · event 7f3a…e21 · on the record
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