Bringing AI integrations to the organizations doing the work that can’t wait
More of your people on the mission, fewer of them on the paperwork.
How an engagement runs
Four stages, in order. Each one has to hold up before the next one starts.
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01
We learn your organization
We sit with the people doing the work — program staff filing case notes, whoever assembles the grant report at midnight, the one person who understands the donor database. We come out knowing how your organization actually runs, not how the logic model says it does.
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02
We build a demo
We go away and build something working, from your own program data and your own reporting templates. You see exactly what can come off your team's desks before you commit any budget to it.
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03
We automate
The demo becomes the real thing, built out and running on your systems, with your keys. Beneficiary records, case notes and donor data never leave your organization.
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04
We teach your people
Then we hand it over properly. Your team learns to run it, change it, and build their own — so the thing that outlasts us is what they know, not a dependency on a vendor you have to keep funding.
What this looks like in a nonprofit
Different every time, but the work usually starts in the same few places.
Who we work with
Nonprofits, foundations and NGOs running Salesforce Nonprofit Cloud, Raiser’s Edge, Bloomerang, Neon, or a shared drive and a spreadsheet that one person understands.
If your program staff spend their evenings on grant reports and your development team retypes the same donor data twice, that is the work we take on.
Where it usually starts
Grant and funder reports drafted from your own program data rather than assembled by hand. Donor records deduplicated and kept current. Intake forms and case notes read and filed. Monitoring data pulled from the field instead of chased. Board reporting built from the numbers you already have.
Give us a week inside your operation.
Tell us where your team's time actually goes. We'll tell you what can come off their desks.