The AI Chief of Staff had a few layers. The first was data integration of both productivity data (slack, notion etc) and "big data" lakes/warehouses. The former tells you what is getting done at a human level and the latter has the potential to tell you whether and how it is working. The second layer was modeling of your business strategy and including dependencies between concepts like projects and
teams, which allows us to back out things like stakeholders and early warning recipients for any given progress or problems. The third was a presentation layer allowing humans to get a birds' eye view of what's happening including generating artifacts like meetings decks.
Ultimately this 1) wasn't successfully solving an urgent enough problem for most businesses and 2) was too difficult to adopt.
LLMs do break open opportunities in this space so I expect to see some more versions of this, perhaps on top of the Credal API!
I suspect your intuition about moving emphasis from redaction to unified access control and audit logging over time is right.
The "AI Chief of Staff" sounds interesting though -- can you share a bit more about what you showed to companies and received lukewarm response to?