Authorized evidence can be too thin for a useful answer without being visibly absent.
Employees need answers that move work forward, while IT Platform Owners need confidence that restricted retrieval does not manufacture certainty.
Who you’d be doing this for
“A director got a polished answer with one old citation, and now security wants to know what the assistant actually knew.”
Cecilia Nascimento · IT Platform Owner
Owns secure knowledge access across connected enterprise systems and must defend AI Assistant behavior to security and business leaders.
What is at stake
Unsupported-answer judgments are 12% when permission-filtered retrieval leaves too little authorized evidence. You have to weigh useful completion against the cost of confident answers with weak support.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- answer completion vs. authorized evidence
- retrieval recall vs. permission enforcement
- automated judgment vs. human calibration
- safe abstention vs. employee momentum
Why Glean
The Enterprise Graph and Personal Knowledge Graph make permission-aware retrieval central to whether the AI Assistant earns trust across connected work systems.
Written with these in mind
Not your kind of problem? 29 more at Glean, 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.