AI for Non Profits Network: Weekly Briefing 04/21
The weekly digest from a network of non-profits. In this week's briefing: Everyone’s using AI - but who’s seeing the benefit?; 5 Useful Prompts for You; & lots of great resources
In The Briefing this week:
👀 What's Caught our Eye: Everyone’s using AI - but who’s seeing the benefit?
💭 Thought for the Week: Five useful prompts, and the work they’re doing
⭐ Interesting News and Funding Calls
🌐 From Across the Network
This newsletter is supported by Whitelabel.ai - helping nonprofits cut through the AI noise with practical tools built for mission-driven teams. Find out more at whitelabel.ai
1) 👀 What Caught Our Eye: Everyone’s using AI - but who’s seeing the benefit?
A new benchmark study from Virtuous and Fundraising.AI, based on a survey of 346 nonprofits, suggests Ninety-two percent of nonprofits are now using AI in some capacity, but just seven percent say it has produced major improvements in what their organization can actually accomplish. The authors call the gap the “efficiency plateau” - and it is, on the evidence, where most of the sector is stuck.
The underlying numbers are specific. Eighty-one percent are using AI individually, without shared workflows. Forty-seven percent have no AI governance policy at all. The pattern is familiar: someone in fundraising uses ChatGPT to draft appeals, a program manager runs reports through Claude, comms has a Gemini subscription nobody authorized. First drafts get faster. Routine tasks get automated. Mission impact barely moves.
What separates the seven percent who are seeing the needle move?
Clear governance
Documented workflows
Cross-functional ownership
Consistent measurement.
The organizations getting transformation out of AI are not the ones with the most sophisticated tools. They are the ones treating AI as an organizational capability to be built, rather than a personal productivity hack to be discovered.
Three practical implications. First, audit honestly: how much of your organization’s AI use is individual experimentation versus shared practice? If it’s mostly the former, you are probably on the plateau. Second, a governance policy is no longer optional - and it does not need to be complex - we outlined one in our recent workshop that you can download for free (just drop me a message). A one-page document covering acceptable use, data handling, and disclosure is enough to start. Third, pick one shared workflow and redesign it end-to-end around AI, with defined roles and a way to measure whether it is working - again - we can help here, just reach out.
2) 💭 Thought for the Week: Five useful prompts, and the work they’re doing
The dominant public narrative about AI in nonprofits is still largely programmatic - chatbots for beneficiaries, efficiency gains in service delivery, AI-assisted grant writing. These are real and worth attention. But from my recent conversations with executive directors there are a few more private and less discussed patterns: AI is becoming a thinking companion for the person at the top, doing work that used to be done alone, or not at all.
What unites the most useful executive uses of AI is that none of them are really about output. Nobody getting real value is using AI to write the strategic plan or the statement to staff. They are using it to think more clearly before doing those things themselves. Below are five prompts worth saving somewhere accessible. Each one is written to be pasted in and adapted.
The board pack. When a hundred pages land in your inbox the night before the meeting, the temptation is to skim. The better use of AI is to orient before the reading, not around it.
“I’ll paste in the board pack below. Give me (1) the three decisions the board is actually being asked to make, (2) the two items most likely to generate pushback, and (3) anything that looks inconsistent with previous papers.”
The meeting prep. Executive directors walk into meetings cold more often than they would admit. Ten minutes with an AI tool and the right prompt is not the same as an hour of genuine preparation, but it is meaningfully better than nothing, which is what the alternative usually is.
“I have a 30-minute meeting tomorrow with [person]. Here’s what I know: [paste]. What are the three things they most likely want from this conversation, what’s the question I should be ready for but probably won’t be, and what’s a useful opening I could offer?”
The difficult email. The draft sitting in your drafts folder is either too blunt or too mushy. AI is useful here not because it writes better than you do, but because it catches what you cannot see in your own prose.
“Here’s a draft email to [person]. Context: [situation]. My goal is to [outcome]. Rewrite it so it’s direct but warm, and flag anything in my original that could be read the wrong way.”
The steelman. Executive leadership is lonely. Most EDs have nobody in their organization who can push back on a half-formed decision without it becoming political. AI, despite its well-documented tendency toward sycophancy, can be instructed to argue back.
“I’m planning to [decision]. Here’s my reasoning: [paste]. Argue the strongest possible case against. Don’t strawman - give me the version a thoughtful, sympathetic critic would actually make. What am I not seeing?”
The narrative finder. The numbers are in front of you; the story is not. This is the use that most clearly illustrates AI’s value as scaffolding rather than substitute — it finds the pattern, you decide what to do with it.
“Here’s our impact data from the last quarter: [paste]. What’s the actual story here? What’s surprising, what’s worth celebrating, and what should we be honest about? Don’t spin - I want to understand what’s really happening.”
A final thought: The EDs getting the most out of AI right now are not the ones with the most sophisticated setups. They are the ones who have figured out that the technology is most useful when it is making them slower, not faster - slower to walk into meetings unprepared, slower to send emails they will regret, slower to commit to decisions they have not really examined. The value is almost never in the first response the AI gives. It’s in the second and third, after you’ve pushed back, corrected its assumptions, and made it work harder. Treat it as a staffer worth training, not an oracle worth trusting, and it earns its place in your week.
3) ⭐ Interesting News and Funding Calls
How to influence the future of AI (Charity Digital)
Renaissance Philanthropy Launches Forecasting Hub To Predict AI’s Impact On The Workforce (Business Insider)
Mozilla’s open source AI alliance is taking on Big Tech (The Logic)
4) 🌐 From Across the Network
Have an event, case study, gathering or interesting insight you would like to share with the network? Drop us a note by replying to this email.
We’re a network of non-profit leaders interested in how AI is impacting our sector and driving mission. You’re receiving this email because you expressed an interest in the network. If you think this was a mistake, you can unsubscribe using the link below.