A board-ready AI scorecard
Where you stand on data, tools, policy, and skills — in plain language, with the reasoning shown and a recommended order of operations. Written to be handed directly to your board.
AI adoption advisory · nonprofits & fundraising organizations
AI consulting for nonprofits and fundraising organizations.
We assess where your organization stands, build the adoption plan, and stand up your first working AI workflows — with a person approving everything that reaches a donor. The model drafts. Your people decide.
- Builders of AI outreach used by national mission-driven organizations
- Advice only — no software sales, no vendor commissions
- Pro-bono seats reserved for small teams
01 · What you walk away with
By week six, you have four things you did not have before
Every engagement produces documents and working systems you keep — not a slide deck that dies in a drive folder.
An AI policy your staff will follow
An approved-tool list, rules for what data may touch which systems, and required sign-off steps. It ends the quiet, unsanctioned ChatGPT use without banning the tools your team already relies on.
Your first working AI workflow
One live pilot on your team's own desks — grant drafting, donor thank-yous, or meeting notes — with human approval designed in. Producing hours back per week, measurably, before we talk about anything bigger.
A verdict on the tools you are being sold
Plain-language answers on the AI features in your CRM, your email platform, and the vendor pitches in your inbox: worth paying for, worth waiting on, or a sticker on last year's product.
02 · The moment
Everyone is experimenting. Almost no one is benefiting.
- 92%
- of nonprofits already use AI in some form
- 7%
- say it is actually moving their fundraising results
- 76%
- have no AI policy for their staff or their donor data
- 60%
- say they cannot evaluate the AI tools being sold to them
Source: 2026 Nonprofit AI adoption report · 346 nonprofits surveyed
That gap is the work. Closing it takes judgement, not another subscription.
03 · The problems
Sound familiar?
These are the conversations we keep having with development directors, executive directors, and advancement leads. If one of them stings, we should talk.
Every tool you pay for suddenly has AI.
Your CRM shipped a copilot. Salesforce has fundraising agents, Blackbaud has an assistant, and every wealth-screening vendor now leads with machine learning. Some of it is useful. Some of it is a sticker on last year's product, priced like a revolution.
Your staff is already using ChatGPT. Quietly.
Appeals, grant paragraphs, board memos — drafted in free AI tools, sometimes with donor details pasted in. Nobody is being careless on purpose. There is just no policy, no training, and no approved way to do it safely.
Grant deadlines eat your best people.
Proposals, LOIs, reports, renewals — the writing load lands on the same two people every cycle. This is one place AI genuinely helps today, if the drafts stay grounded in your real program data and a person signs every word that goes out.
The donor data is a junk drawer.
Duplicates, dead emails, three spreadsheets named FINAL_v2.
Every AI feature you buy sits on top of that data, which is why so many
"insights" come back as noise. Readiness starts here, not with the
shiniest tool.
Retention keeps slipping, and letters are not landing.
You know personalization works. You also cannot hand-write five thousand thank-yous. Done right, AI drafts in your voice, segments with care, and every message still gets human eyes before it reaches a donor.
The board is asking: what is our AI strategy?
The honest answer today is a shrug and a subscription. You need a real position — what you will adopt, what you will not, and why — that you can defend to funders, staff, and the people you serve.
04 · What we do
Three ways of working
One posture: your mission first, the technology in service of it. We sell advice, not software. No vendor commissions, ever.
Readiness assessment
Where are you today, honestly? We audit your workflows, data hygiene, current tools, and team readiness, and hand you a plain-language scorecard: what to adopt now, what to prepare for, what to ignore. It is the map every other decision gets made on.
- Staff interviews & workflow audit
- Data-hygiene review
- Board-ready scorecard
- Prioritized 12-month roadmap
Free for select nonprofits — see below.
Adoption strategy
A clear-eyed plan for where AI genuinely helps your organization, and where it does not. Independent vendor evaluation, workflow and pilot design, an AI policy your staff will actually follow, and guardrails that keep your supporters' trust intact.
- Independent vendor evaluation
- AI policy & approved-tool list
- Pilot design with sign-off gates
- Staff training plan
Fractional AI leadership
An experienced AI lead embedded with your team, part-time. We sit in the planning meetings, make the build-versus-buy calls, coach your staff, and stay accountable for outcomes — without the cost of a full-time hire your budget was never going to carry.
- A seat at your planning table
- Build-versus-buy decisions
- Pilots shipped & measured
- Quarterly board updates
05 · How an engagement runs
Six weeks to something real
No year-long transformation roadmaps. A short, fixed arc with a visible result at the end of it.
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Weeks 1–2
Listen and look
Interviews with your staff, a walk through your workflows, an audit of your tools and data. We learn how the work actually gets done before we suggest changing any of it.
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Weeks 3–4
The scorecard
A plain-language readiness report: what to adopt now, what to prepare for, what to ignore — with the reasoning shown. Written to be handed directly to your board.
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Weeks 5–6
The first win
One modest, visible pilot — grant drafting, donor thank-yous, meeting notes — with the human sign-off step designed in from day one. Your team sees it work on their own desks.
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After that
Only if it earns it
Fractional leadership, staff training, the next ten changes. We continue when the first win says we should, not because a contract says we must.
06 · How we work
Four rules we do not bend
They are the difference between adoption that sticks and novelty that stalls.
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People approve. Machines assist.
AI drafts, sorts, summarizes, and suggests. A person you trust signs off on anything that reaches a donor, a member, or the public. That is the loop, and we design it into every workflow.
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Adopt where it serves the mission. Skip where it does not.
We are not here to sprinkle AI on everything. If a spreadsheet solves it, we will tell you it is a spreadsheet. Credibility is the product.
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Small wins first. Trust compounds.
The first project is deliberately modest, visibly useful, and done in weeks — because a team that has seen one real win adopts the next ten changes on its own.
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Sensitive systems get the most human oversight.
Anything that fundraises, persuades, or touches beneficiary data gets the tightest loop of all. Your supporters' trust took years to earn. No automation is worth spending it.
07 · Who we are
Both sides of the table, under one roof.
Human in the Loop Labs is built on an unusual pairing: decades spent working in and alongside nonprofits and fundraising organizations, and decades spent shipping machine-learning and product work people actually use — including AI outreach tools built for national mission-driven organizations.
That combination matters. The fundraising side knows how this work actually gets done — the board dynamics, the campaign cycles, the thin budgets, the donor trust you cannot afford to spend. The machine side knows what is really inside the tools — what the models can do today, what is marketing, and what it takes to make any of it stick.
- Fundraising & nonprofit operations
- Machine learning & engineering
- Donor & supporter outreach at scale
- Product strategy & delivery
- Data privacy & AI policy
- Vendor evaluation, no commissions
08 · Questions we hear
Asked by every board, answered up front
The questions that come up in the first call, so you can skip to the second one.
What does this cost?
The readiness assessment is a small, fixed-fee engagement — and free for the nonprofits in our pro-bono seats. Strategy and fractional work scale with scope. You will have the number before we start, and if we think you do not need us, we will say so.
Which tools do you work with?
The ones you already pay for — your CRM, your email platform, your grant systems — plus the general-purpose AI tools your staff is already using quietly. We are independent: no reseller agreements, no commissions, no favorite vendor.
Is this about replacing staff?
No. Every workflow we design ends with a person you trust approving the output. AI takes the drafting, sorting, and summarizing load off your team; the judgement, the relationships, and the sign-off stay human. That is the whole premise.
What happens to our donor data?
Policy before tools. We define which data may touch which systems, set up an approved-tool list your staff can actually use, and keep donor and beneficiary details out of free consumer AI tools entirely.
How fast do we see something real?
One working pilot inside six weeks. If we cannot find a first win that fits in that window, we scoped the wrong first win — that is on us, not on your team.
Our board wants an AI strategy. Where do we start?
The readiness scorecard is written for exactly that meeting: plain language, the reasoning shown, and a defensible position on what you will adopt, what you will not, and why. It can be next quarter's agenda item.
09 · Contact
Stay in the loop.
If you are weighing what AI should mean for your organization, we are glad to compare notes. No pitch decks, no urgency. Just a conversation about your mission.