The evaluation needs realistic data, while the security review needs evidence that access remains contained.
AI deployment leads need an evaluation their analysts recognize, and security leadership needs a boundary they can defend.
Who you’d be doing this for
“My analysts have real questions queued up, and I can’t ask them to judge this from toy data.”
Kaori Kang · Director of Analytics
Leads the prospect’s analyst group that would operate the published analytics workflows after the evaluation.
What is at stake
The prospect may end its evaluation without letting 30 analysts test Notebook Agent on credible data. You have to weigh a realistic proof of value against an approval boundary security can defend.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- credible analyst workflows vs. constrained data access
- procurement timing vs. security assurance
- generated SQL speed vs. human verification
- warehouse-native familiarity vs. collaborative analytics fit
Why Hex
Notebook Agent evaluations determine whether enterprise data teams trust collaborative analytics on top of their Snowflake data.
Written with these in mind
Not your kind of problem? 9 more at Hex, 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.