Your fundraising team knows which donors are likely to lapse. They find out after the direct debit fails. Grant research takes 2 days per opportunity when an agent does it in 20 minutes. The American Red Cross and Salvation Army have both invested significantly in AI operations. The question isn't whether AI serves the mission — it's whether the mission can afford to operate at 2023 efficiency in 2026.
The American Red Cross, Salvation Army, and WWF have all invested significantly in AI operations in 2025–2026. Salesforce.org's Nonprofit Success Pack added agent-native features across its entire platform. The organisations building these now are doing more mission work with the same team. Every one of these can be built for your organisation.
Monitors giving behaviour and engagement signals across your donor database — recency, frequency, amount trends, email open rates, event attendance. Identifies donors showing lapse indicators before they actually lapse, scores them by lapse probability and lifetime value, and triggers personalised re-engagement at the right moment. Prevention is always cheaper than re-acquisition.
Scans foundation databases, government grant portals, and corporate giving programmes, matches opportunities against your organisation's mission, eligibility criteria, and geographic focus, prioritises by fit score and deadline, and produces first-draft application sections from your programme data and impact statistics. The 2-day manual grant trawl becomes a 20-minute agent run.
Manages volunteer recruitment, onboarding, scheduling, reminders, and re-engagement — from initial application through to shift confirmation and post-event follow-up. Volunteer coordinators handle programme design and complex logistics. Routine communication and scheduling run without manual effort, allowing a small team to manage a large volunteer base effectively.
Monitors campaign performance in real time across channels — email, direct mail, digital, and events. Identifies which segments are responding, which are not, and where the campaign is underperforming against target. Flags mid-campaign optimisation opportunities while there is still time to act. Campaign analysis happens in real time rather than in the post-mortem report.
Pulls programme data, beneficiary outcomes, and operational metrics from connected systems, structures the impact narrative, generates draft reports for funders, trustees, and the public, and produces donor impact statements personalised to each donor's giving history. Impact communication becomes consistent and continuous rather than a quarterly scramble.
Screens your donor database and prospective donor lists for wealth indicators, philanthropic history, connection to your cause, and relationship pathways. Generates structured prospect profiles with giving capacity estimates, philanthropic interests, and introduction strategy recommendations. Major gifts officers walk into every cultivation meeting with intelligence their counterparts at competing organisations don't have.
Structured builds with defined scope, timeline, and starting price.
The CRM, donor lifecycle, and major gifts layer — for organisations where donor retention is the most important number on the dashboard.
Donor data split between a spreadsheet, an email marketing platform, and whoever remembers to update the shared drive. No unified view of a donor's full relationship history with the organisation.
Every donor interaction visible in one place — giving history, communications, event attendance, volunteer activity. Stewardship becomes systematic rather than dependent on individual memory.
Lapsed donors discovered when the direct debit fails or the gift doesn't arrive. Re-acquisition costs 5 to 10 times more than retention. The problem was preventable with the data you already had.
At-risk donors identified and re-engaged before they lapse. Stewardship sequences run automatically. Donor retention rate improves. The re-acquisition budget gets smaller because fewer donors leave.
Major gifts pipeline managed through a relationship officer's personal notes and memory. No firm-wide visibility. When the officer moves on, so does the institutional knowledge about where every prospect stands.
Major gifts pipeline visible and systematically managed. Cultivation activities tracked. Next steps logged. The programme survives staff changes because the knowledge is in the system, not the individual.
Donation page converting at 1–2% of visitors. Generic ask amounts. No personalisation based on the donor's history or the campaign they came from. Significant fundraising revenue left on the table.
Donation page personalised to the donor's history and campaign context. Ask amounts calibrated to each donor. Conversion rate improves. Average gift value improves. Both metrics move simultaneously.
For grant-dependent organisations — the research, writing assistance, and funder reporting layer that determines whether your grants programme scales with your team or despite it.
Grant research taking 2 days per funding round. Half the opportunities found are a poor fit. The ones missed were a perfect fit. The process is manual, inconsistent, and dependent on one person's knowledge of the funding landscape.
Relevant grant opportunities identified automatically across connected databases. Shortlist prioritised by fit and deadline. Grant team's time goes to writing strong applications, not finding them.
Grant writers starting every application from a blank page. 80% of each application is structural content that could be generated from your programme data and previous successful applications.
First draft generated from your programme data, impact statistics, and previous successful applications. Grant writers edit and strengthen rather than build from scratch. Application volume and quality both increase.
Funder reports written manually from scratch for every grant. Same data, different format, different funder, different deadline. Programme team spending time on reporting rather than delivery.
Impact reports generated automatically from programme data. Formatted to funder requirements. Programme team reviews and submits. Reporting burden drops dramatically without sacrificing quality.
For organisations where volunteer capacity is programme capacity — the recruitment, onboarding, and retention layer that determines what the mission can actually deliver.
Volunteer applications sitting unacknowledged for days. Onboarding documentation collected manually. DBS checks and training requirements chased over email. High drop-off between application and first shift.
Applications acknowledged immediately. Onboarding sequence automated from application to first shift. Documentation collected without chasing. Drop-off between application and activation drops significantly.
Volunteers who completed their onboarding but have gone quiet. No system for re-engaging them between programmes. High annual churn meaning constant re-recruitment effort for the same positions.
Regular touchpoints and relevant opportunity alerts keep volunteers engaged between programmes. Re-engagement triggered automatically for inactive volunteers. Annual churn drops. Recruitment effort concentrates on genuine growth, not replacing turnover.
For non-profits where supporter communications, campaign awareness, and impact storytelling are the difference between a growing organisation and a static one.
Monthly newsletter written by whoever has time. Generic content going to the entire supporter base regardless of their connection to specific programmes, geographies, or causes within the organisation.
Communications personalised to each supporter's interests and giving history. Content generated from programme updates automatically. Engagement rates improve. The communications team focuses on strategy and relationships, not production.
Campaign results compiled manually at the end of each appeal. Learnings documented inconsistently if at all. Each new campaign largely starting from scratch rather than building on what worked.
Campaign performance visible in real time. Underperforming segments identified while the campaign is still live. Learnings structured and stored automatically. Each campaign improves on the last rather than reinventing it.
Most non-profits start with grant research or donor lapse prevention, see the ROI in the first quarter, then scope the full fundraising operations layer.
One focused build. Grant research, volunteer onboarding, or donor communications — results before committing to anything bigger. Discounted rates available for registered charities.
CRM with donor lifecycle, lapse prevention, and at least one AI agent. Donor retention rate improves. Fundraising team capacity increases without headcount.
Custom agents, major gifts prospect research, grant intelligence, volunteer management, impact reporting, and full Salesforce NPSP or HubSpot implementation.
They built exactly what we needed without overcomplicating it. The system has been running for months without us having to touch it.
Shivam Kapoor and Sonam Malhotra have contributed over 1,000 pro-bono hours to non-profit and social impact work, including previous enterprise project delivery for the American Red Cross. Every non-profit build is led by one of them directly — you get founders who understand the mission, not a consultant billing standard commercial rates to learn the sector.
Free audit. We map which agents and implementations serve your mission most effectively, in what order, and what outcome to expect.
Universities, charities, and foundations share almost identical donor management, alumni engagement, and fundraising pipeline requirements with education institutions.
Explore 11 implementations →Hospital foundations, health charities, and medical research non-profits — the major gifts and grant fundraising layer is shared across both sectors.
Explore 11 implementations →Non-profit communications teams and the agencies that serve them — the campaign automation and supporter communications layer is shared with agency operations.
Explore 11 implementations →· Amroar Technologies · All Industries