AI Certifications in Grant Applications: What This Really Means for Grant Professionals
A client recently had to sign a certification stating that no part of their grant application involved AI. As soon as I read it, my stomach tightened.
My unease comes from knowing that signing that certification with confidence is a lot more complicated than the form makes it look and will become increasingly challenging to promise.
These certifications deserve more conversation than they're getting. The intent behind them is reasonable. The implementation is creating problems that funders may not fully understand.
Let’s Level Set
Funder AI certifications have grown more common in the last year; I’d never seen one before 2026.
The tools to enforce this are unreliable.
False positives in AI detection tools are widespread and well-documented. As I read recently on LinkedIn, someone’s essay on “The Yellow Wallpaper” from high school English class back in the ‘90s gets flagged as AI generated. So do my standard grant narratives pre-2023.
Grant writers may unknowingly sign inaccurate certifications when clients use AI upstream. (Think: that really nice program description the program manager sent you or the annual report that you pulled language from? Could absolutely, and increasingly, so, be generated by AI).
The field lacks a shared definition of “AI use”, making honest answers difficult. Are editing tools with AI built in “AI use”? What about using AI to order your citations? Or review your draft and help you improve it? Or create your logic model from your narrative?
What Funders are Trying to Do with AI Certifications
Funders adopting these certifications are usually worried about a few things. They want to confirm the work is real. They want grant writers to know the program well enough to write about it accurately. They want to discourage applications that exist purely because AI made it “cheap” to apply for everything.
They also hear stories or have experienced firsthand the growth in applications received by many funders. That means their costs go up, either in staff time to review them all fairly, in time by community reviewers, or in implementing AI workflows to filter through the influx.
Those concerns are valid. However, implementing a certification that requires a grantee to promise that AI was not used in any part of their application doesn’t align with the messiness of how work is done in 2026.
And it completely ignores the fact that grant professionals often receive information from several contacts within an organization: finance, programs, evaluation, HR, etc. Does the grant professional now have to return to each of these people and ask if anything they provided was ever touched by AI? Is that reasonable?
The AI Checkers Funders Rely On Aren't Reliable
My own writing has been flagged as AI-generated by every commercial AI checker I've tried, often with a likelihood of 50+ percent. I have writing samples from 2016, 2019, and 2022 that flag the same way, years before any of these tools were in my workflow.
This is not a personal anecdote. False positives are a documented, widespread problem with AI detection tools. They flag formal writing, structured writing, and writing that follows the conventions of a specific field. Grant writing fits every one of those descriptions, especially when we talk about more technical government grants.
If a funder is using an AI checker to enforce a certification, they are almost certainly catching some honest applicants and missing some dishonest ones. The tool can't do what the funder is asking it to do.
So then, what is it the funder IS asking for? Is the certification nothing more than a scare tactic meant to reduce the number of applicants?
Shouldn’t the point be to ensure that applicants produce high-quality materials that describe reasonable scopes of work based on past performance that align with the criteria of the opportunity? If so, we’re focused on the wrong part of the puzzle here. The problem isn’t the use of AI; it’s the irresponsible use of AI. Wouldn’t our time be better spent teaching how to use AI in a way that builds trust?
Client Integrity
Even when a grant writer signs the certification in good faith, they may be unknowingly wrong. This is something I've already encountered: in a different scenario, I asked a client for a program description, a service flow, and a piece of internal documentation. They didn’t have it. They felt embarrassed about not having it. They opened an AI tool, generated something that looked like the kind of thing I asked for, and sent it to me.
If I hadn’t caught that this was what had happened (and I did!), I might have ended up sampling from that AI-generated document in my own writing. The certification I signed (again, I didn’t have to sign a cert for this client; I’m just making my point…) states that no AI was used. AI was used. It was used a layer up from where I was looking.
This is a workflow issue funders aren't accounting for. The integrity of the certification depends on trust extending several relationships deep, into territory the grant writer can't always see.
Nobody Has Agreed On What Counts as AI
Grammarly has had AI features built into it for years. Microsoft Word has Editor. Google Docs has predictive text. If a funder defines AI as "any tool with a language model in it," almost every grant application written in 2026 used AI somewhere in the process.
If a funder defines AI as "drafted by ChatGPT or Claude from scratch", that's a different scope. If they mean "used AI for editing, but the words started with a human”, that's still another scope.
Until the field agrees on a definition, and we're far from that, certifications about AI create conditions for honest people to sign things that may technically be false.
And I would argue that penalizing AI use is what drives people (such as the program director who sends an AI-created program description) to omit the fact that they’ve used AI. So these certifications create more angst about AI use, making people less likely to fess up and creating potential ethical traps for grant professionals who are trying to follow the funder's rules.
And In Three Years, Will it Even Be Possible to Know Whether AI was Used or Not?
What really scares me about these certifications is what they will mean for grant professionals in a few years. Here’s the scenario that plays in my brain: a grant writer gets hired by an organization and they start a grant that has one of these certifications. They go into the grants folders of past proposals to develop the language, and because the previous grant writer left no notes on what is AI-generated versus not, there is no way for them to know whether AI was used to create the organization’s response to the history prompt. And they don’t know whether the existing logic model was created with AI. What about the last cover letter they’d like to sample from?
This raises a question about documentation and accountability, both of which we need to have in light of AI, but we’re in a moment of great transition, and I’d guess that most grant writers using AI are not documenting in each grant narrative (drafts and final) that AI was used and in what capacity.
To be fully compliant, then, this fictional grant writer would have to write everything from scratch. Agree? Disagree?
A More Honest Conversation is Possible
The instinct behind these certifications matters: protect the integrity of grant applications, protect the relationship between funder and applicant, protect the dollars intended to reach community work, and put the funding in the hands of an organization that can deliver on the proposed scope.
If funders want to ask about AI, the question I'd want them to ask is a more helpful one: "Describe how AI was used in preparing this application, if at all." That question gives space for the truth. It captures Grammarly without penalizing it. It captures full-draft ChatGPT use and lets the funder weigh it. It treats grant writers as professionals who can answer questions with nuance, be accountable, and help reduce the fear that AI will lead to funded proposals that won’t be possible to execute. And the answer shouldn’t lead to an automatic exclusion, but be weighed with everything else the applicant has submitted.
Federal grant readiness, foundation readiness, capacity-building of every kind – all of it depends on grant writers being honest with funders and funders being honest with themselves about how the work gets done. We can build that honesty into the application process without forcing the field to pretend the last three years didn't happen.
And frankly, a grant written with AI by someone who doesn’t check their outputs/outcomes for reasonability and just went with what AI proposed? Of course it shouldn’t get funded. And reviewers will see that. Funders should trust their review processes enough to know that AI-slop will be easy to spot. AI isn’t the problem when it comes to grant production. Lack of AI training is the problem. Misuse of AI is the problem. And existing grant review practices will catch it.
Where This Leaves Grant Writers and Nonprofit Leaders
If you're a grant writer dealing with these certifications right now, here are some things you can do to feel as good as possible about signing that certification:
Document your workflow. Note that you didn’t use AI at the bottom of drafts.
Ask your clients direct questions about how they generated any materials they hand off to you. In house? Ask the same questions of internal staff.
When in doubt, talk to the funder before signing. Ask them what they mean by AI use and if there is any acceptable use of AI, while explaining some of the ideas in this post.
If you're a nonprofit leader, your grant writer may be holding more on this than you realize. A short conversation about how AI shows up in your work, and how you'd answer if asked, is a worthwhile thing to put on the calendar this quarter.
The point isn’t to eliminate AI from all workflows. But we do need to get clear internally on how we will handle certifications like this when they show up. Do you apply at all? Do you reach out to educate the funder about why these certifications are increasingly difficult to comply with? Do you have an SOP to help your grant professional navigate a certification like this with confidence and ethical integrity?
I hope you don’t have to deal with this in your grant-seeking, but if you do, it’s better to know how you will address it in advance than to worry that you’re going to mess something up because you don’t have a process in place to verify AI use in the many ways it may show up.
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