The clinical application needs governed model access without turning a narrow exception into broad permission.
Clinical throughput depends on approved requests completing, while the governed catalog must keep unauthorized requests out.
Who you’d be doing this for
“The reviewers are asking why their cases fail, and I’m rebuilding the request by hand.”
Ijeoma Agyemang · Clinical AI Engineer
Operates the application that turns clinician-submitted notes into governed model requests.
What is at stake
Approved clinical requests are failing after a new access policy, despite the model working in notebooks. You have to restore the application path while keeping the governed catalog locked down.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- clinical throughput vs. least-privilege access
- fast restoration vs. auditable identity boundaries
- application continuity vs. policy integrity
Why Databricks
Foundation Model APIs sit beside Unity Catalog, so governed access failures can stop a production AI workflow even when the model endpoint is healthy.
Written with these in mind
Not your kind of problem? 107 more at Databricks, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.