Sistava

Grant Applications and Funder Research

AI for Nonprofits and Charities

Apply to more of the funds you actually qualify for

Small charities miss funding because applications take days and nobody has days. So they apply to a fraction of what they qualify for, and often to the wrong ones.,Your assistant researches funders whose criteria genuinely match, and drafts applications from your existing material rather than from a blank form.,Most of any application is information the organisation already holds. Assembling it is the work, and it is the part that stops applications happening.

Benefits

How It Works

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At a Glance

Reusable
Core assembled once
Real criteria
Eligibility matched properly
Their form
Drafted to the actual questions
Lead time
Built into deadline warnings

Applications Compete Directly With Delivery

In a small charity the person who would write a funding application is usually the person delivering the service. Every hour on an application is an hour not spent on beneficiaries, which makes it a genuinely painful trade rather than a matter of prioritisation. The result is a chronic under-application: organisations apply to a small number of funds, often chosen by familiarity rather than fit, and leave money they qualify for unclaimed simply because nobody could afford the days.

Most of an Application Already Exists

Funders ask for versions of the same things: what you do, who you help, how you are governed, what your finances look like, what outcomes you achieved. A charity that has been operating already holds all of it, scattered across annual reports, previous applications, board papers, and someone memory. Assembling that core once and reusing it turns each new application from a multi-day project into a targeted adaptation, which is the difference between applying to three funds a year and thirty.

FAQ

Will funders notice applications were AI-assisted?

Increasingly some funders ask, and the honest answer is that it was drafted from your own material and reviewed by your team. What funders genuinely object to is a generic application that ignores their criteria, which is the opposite of what this produces.

Does it guarantee more funding?

No. It increases how many well-targeted applications you can make and improves how well each answers the actual question. Funding decisions depend on your work, your fit, and competition, none of which this changes.

Can it invent outcomes or figures?

It must not, and this matters more here than almost anywhere. Application figures are representations to a funder and often contractual. Missing data is flagged rather than estimated, and every figure traces to something you provided.

What about very small charities?

The proportional gain is largest there, because in a small organisation applications compete directly against delivery. That is exactly the trade-off that keeps small charities under-funded relative to what they qualify for.