# AI for Nonprofits and Charities Grant Applications, Donor Communication, Reporting, and Volunteer Admin ## Overview Small charities operate under a trade that larger organisations do not face as sharply: every hour spent on administration is an hour not spent on the mission, and the person facing that choice is usually delivering the service. So applications go unwritten, donors go unthanked, reports get assembled in a scramble, and volunteers who offered to help hear nothing for three weeks. None of it is neglect. It is a genuine shortage of hours meeting work that has real consequences when it does not happen. Sistava takes the administrative layer. Nothing here decides anything about your beneficiaries, your safeguarding, or your programmes. It handles the paperwork that currently competes with delivery, and the standard it is held to is honesty, because in this sector an overstated figure costs more than a missed deadline. ## At a Glance - **Reusable** Application core, assembled once - **Days** To thank a donor - **Traceable** Every reported figure - **99/mo** Starting price ## Before / After - **Before:** Applying to a fraction of the funds you qualify for **After:** Funders matched on real criteria, drafted from existing material - **Before:** Donors thanked weeks later, or generically **After:** Prompt, specific thanks and a report on what it achieved - **Before:** Regular givers taken for granted until they cancel **After:** Acknowledged periodically, lapses surfaced early - **Before:** Funder reports reconstructed from memory **After:** Assembled from records with figures traced to source - **Before:** A shortfall discovered by the funder **After:** Flagged early enough for you to explain it - **Before:** Willing volunteers lost to three weeks of silence **After:** Answered in a day with onboarding tracked ## Benefits ### Grant Applications Funders matched on real eligibility and applications drafted to their specific questions from your reusable core material. ### Donor Stewardship Prompt personal thanks, impact updates grounded in your data, and lapsing donors surfaced while re-engagement is realistic. ### Funder Reports Assembled from your records against what each grant promised, with every figure traceable and shortfalls flagged early. ### Volunteer Coordination Offers answered within a day, onboarding requirements tracked to completion, and rota communication handled. ### Deadline Tracking Grant rounds and reporting dates with enough lead time to gather what is missing, since these dates do not move. ## Benefits ### Never Invents a Figure Application and report numbers trace to what you recorded. A gap is flagged, because an unsubstantiated figure to a funder is an integrity and contractual problem. ### Honest Impact Language Impact is reported to what your data supports and no further, which matters in a sector that runs entirely on trust. ### Safeguarding Stays With You Volunteer suitability, checks, and any judgement involving beneficiaries or vulnerable people remain entirely with your team. ### Respects Contact Preferences Donor consent and marketing preferences are honoured rather than overridden, including for lapsed-donor outreach. ## How It Works 1. **Assemble the Core Once**: Mission, governance, finances, outcomes, and case studies. Most funders ask for versions of the same things, and this is the reusable base. 2. **Start With Applications or Donors**: Applications increase income you are eligible for. Donor stewardship protects income you already have, usually at a better return. 3. **Keep Reporting Continuous**: Tracking delivery against grant promises as you go removes the report-time scramble and stops you under-reporting your own impact. ## Comparison | Dimension | Traditional | With Sista | |---|---|---| | Grant applications | A few per year, chosen by familiarity | Matched on criteria, drafted from your core | | Thanking donors | Late and generic, or missed | Within days, specific to what they gave | | Impact updates | Rarely sent | Grounded in what your data supports | | Funder reports | Reconstructed in a fortnight scramble | Assembled continuously, figures traceable | | Shortfalls | Discovered by the funder | Flagged early, framed by you | | Volunteers | Offer, then silence, then gone | Answered in a day, onboarding tracked | ## The Trade Every Small Charity Faces In a small organisation, the person who would write the funding application is the person running the service. That makes administration a direct trade against the mission in a way it is not in most businesses, and it explains why charities systematically under-apply for funding they qualify for and under-communicate with donors who would give again. It also explains why the usual advice fails. Telling a stretched charity to steward donors better or apply to more funds is describing a symptom. The hours do not exist, and no amount of prioritisation creates them. Moving the administrative layer changes the trade rather than the priorities. The applications get written and nobody stopped delivering to write them, which is the only version of this that actually works. ## Honesty Matters More Here Than Speed This sector runs on trust in a way that commercial work does not, and that shapes what this should and should not do. It does not invent figures. Application and report numbers trace to what you recorded, and a gap is flagged rather than filled with something plausible. An unsubstantiated figure in a funder report is not a rounding issue, it is an integrity problem and often a contractual one. It does not overstate impact. There is genuine pressure in fundraising to make outcomes sound larger, and yielding to it is how organisations lose credibility permanently. The defensible smaller claim is the correct one, and where evidence does not exist, the honest answer is that it does not. ## FAQ ### Will it invent impact figures? No, and this is the most important constraint on the page. Every figure traces to what you recorded, and gaps are flagged rather than estimated. An unsubstantiated number to a funder is an integrity and contractual problem. ### Do funders mind AI-assisted applications? Some ask, and the honest answer is that it was drafted from your material and reviewed by your team. What funders actually object to is a generic application ignoring their criteria, which is the opposite of this. ### Does it handle safeguarding or volunteer checks? It tracks what is outstanding and chases it. The checks themselves and any judgement about suitability stay entirely with your team, particularly for roles involving vulnerable people. ### How is donor data handled? It stays inside your workspace, is not used to train anything, and contact preferences are respected rather than overridden. Charities carry real obligations here and our trust pages have the detail. ### We are very small. Is this worth it? Proportionally it helps smallest organisations most, because that is where administration competes most directly with delivery and where the under-application problem is worst. ## Specialists - **[Grant Applications and Funder Research](/en/use-cases/nonprofits/grant-applications)** — Apply to more of the funds you actually qualify for - **[Donor Communication and Stewardship](/en/use-cases/nonprofits/donor-communication)** — Thank people properly and tell them what happened - **[Impact and Funder Reporting](/en/use-cases/nonprofits/impact-reporting)** — The reports that keep the funding you already won - **[Volunteer Coordination](/en/use-cases/nonprofits/volunteer-admin)** — Keep the people who offered to help