See where your grantees are with AI, and what they need next.
Each organization gets its own result and first moves. You get the picture across your portfolio.
What you see
Three readings across your portfolio.
Each grantee runs its own assessment and chooses to join your portfolio.
Portfolio · 24 organizations
Demo data · invented granteesWhere they stand
The one measure that compares directly.
Distance to their healthy aim
Each organization against its own healthy range.
Gaps that recur
How often a gap is named.
- A way to question, correct or appeal11 of 24
- An owner for the data AI uses9 of 24
- A baseline for the AI work7 of 24
- A named AI owner with time and authority6 of 24
If you fund organizations
A strong proposal no longer tells you who is strong.
AI writes good proposals. Outstanding work can come with a weak AI story, and the reverse.
The Navigator reads what an organization does with AI. You need no in-house AI expertise to read the result.
What funders use it for
First your portfolio, then your decisions, then what changed.
Start with the portfolio you have
See where grantees stand and which gaps recur, before you decide what support to offer.
Decide whom and how to support
Each organization is read against the range that is healthy for it.
See what changed
Every result is dated and versioned. A new assessment shows what changed.
What your grantees get
Each grantee keeps its own result, with its first moves.
You see a result only if the grantee chooses to join your portfolio.
See the page for organizationsWhere it is
Northgate Food Bank · invented example
Systematizing, conditional
Hybrid organization. Its AI already goes as far as Innovating. 19 of the 24 things Systematizing asks for are in place.
What to do about it
- A way for families to question the ranking.
- An owner for the data the ranking uses. A data-readiness sprint with a data partner
- Criteria for which workflows are ready for normal operations.
Next step of the Adoption Loop: deploy with proportional governance.
The rules of the view
Comparable, and fair to the organizations in it.
By consent
You see only the organizations that chose to join.
No score, no league table
Nothing is averaged or summed.
One published method
Same answers, same result. No AI model decides.
Adoption, not impact
Adoption compares across sectors. Impact stays with your own measures.
EYSchwab Foundation