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First drafts in days, not weeks
A funder-specific first draft gets generated against your actual program data fast, so your team's time goes into refining and strengthening it, not staring at a blank page.
AI Grant Writing
Grant Applications, Drafted Fast with AI, Reviewed by Humans
Most organizations exploring AI grant writing either pay a grant writer by the hour for every application, which gets expensive fast when you're applying to a dozen funders a year, or try to write every application in-house and end up submitting fewer, weaker applications than you actually have the capacity to pursue. We run grant writing as an AI-assisted service: first drafts generated fast against your program data and a funder's specific language, then reviewed and refined by someone who actually understands grant writing, not just generated and submitted blind.
An outsourced team, powered by software first
The real value of AI in grant writing isn't replacing a human writer, it's compressing the time between "we found a funder that fits" and "we have a strong first draft to work from," so your team or ours can spend review time on strategy and framing instead of staring at a blank page. We start from your program data, past successful applications, and outcome metrics you already track, and use that to generate drafts that actually reflect your organization's real work, not generic nonprofit boilerplate a funder can spot instantly. Every draft gets reviewed and refined by a person before it goes anywhere near a submission, and if your grant reporting and compliance tracking afterward is its own manual headache, we connect that to the same system so post-award reporting isn't starting from scratch either.
What moves off your plate
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Drafts grounded in your real program data, not generic boilerplate
Drafts pull from your actual outcomes, past successful applications, and program specifics, so a reviewer isn't rewriting generic nonprofit language a funder has read a thousand times before.
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Every draft reviewed by a human before it's submitted
Nothing goes to a funder without a knowledgeable person reviewing framing, tone, and accuracy first. AI speeds up the draft; it doesn't replace the judgment call on what actually gets submitted.
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Apply to more funders without a bigger grant-writing budget
Faster drafting means your organization can realistically pursue more of the funders that actually fit, instead of narrowing your list to whatever a limited writing budget can cover.
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Post-award reporting connected to the same system
If compliance and outcome reporting after you win a grant is its own separate manual scramble, we connect that tracking to the same system instead of starting reporting from zero.
Where this usually connects to
Let's talk
Get a free quote before you decide
Tell us how many funders you're realistically trying to apply to this year, how grant writing gets done today, in-house, a contractor, or not consistently, and how post-award reporting currently gets tracked. We'll show you what AI-assisted drafting with real human review looks like against your actual grant calendar.
Get a free quote →Questions people ask
Does AI actually write the whole grant application, or just a starting draft?
A starting draft, grounded in your real program data and the specific funder's language, that a knowledgeable person then reviews and refines. Nothing goes to a funder without that human review, since framing and accuracy still require real judgment.
Will a funder be able to tell the application was AI-assisted?
Not if it's done right. Drafts are grounded in your organization's actual outcomes and program specifics rather than generic nonprofit language, and a human reviews and sharpens the framing before submission, which is the opposite of the generic AI-written applications funders have learned to spot.
Can you handle grant reporting after we win, not just the application?
Yes, and we recommend connecting that from the start. Post-award compliance and outcome reporting pulls from the same program data as the original application, so it doesn't have to start from zero after an award.
How many grant applications can we realistically apply to with this approach?
Significantly more than a typical hourly-rate writing budget allows, since the drafting bottleneck is the part that gets compressed. We'll scope a realistic number based on your actual funder list and internal review capacity.
Who actually reviews the AI-generated drafts before submission?
A person with real grant-writing judgment, either on your team or ours depending on how the engagement is scoped, reviews every draft for framing, accuracy, and tone before anything goes to a funder.
Does this work for government grants too, or just private foundations?
Both, though government grant applications often have stricter formatting and compliance requirements we factor into the drafting and review process specifically for that funder type.