We use AI only when it makes giving easier, fundraising smarter, and platforms safer. Donor data is protected, every use case is reviewed, and we take our footprint seriously. That's the only kind of AI worth building.
Applies to GoodChange · SmartChange · Level Wins infrastructure
Every AI feature we ship across GoodChange and SmartChange is built with care and grounded in our mission: to help progressive campaigns, nonprofits, NIL collectives, and grassroots organizations raise more money — faster, more transparently, and with more respect for the people who give.
Three commitments guide every AI decision we make — from the smallest model choice to the largest feature launch.
Donor data is not currency. We defend it with bank-grade safeguards, encryption at every stage, and infrastructure built for financial-grade workloads. We never sell data. We never use customer or donor data to train general-purpose AI models.
Learn More →We don't deploy AI for AI's sake. Every use case is reviewed before launch against recognized standards and our own values. AI built on our platform is mission-driven, designed for fairness, transparent in operation, and always under human oversight.
Learn More →Power without waste. We deploy AI efficiently — using inference instead of expensive retraining, choosing right-sized models for the job, and running on green cloud infrastructure. We review, improve, and evolve our practices as the technology matures.
Learn More →At GoodChange and SmartChange, we take a security-first approach grounded in strong operational controls and trusted industry practices. Protecting donor data isn't optional — it's the foundation of every fundraiser we power.
Our governance aligns with PCI-DSS (payment card data) and SOC 2 principles — ensuring systems are resilient, auditable, and continuously improving.
We protect confidentiality, integrity, and availability through continuous monitoring, encryption at rest and in transit, role-based access, multi-factor authentication that organizations can require, Stripe Radar fraud screening on card payments, and full audit logging.
Our AI features run on enterprise cloud infrastructure with secure workload isolation. Payments are processed through our banking partner Stripe, with PCI-DSS-aligned protections at every layer. Level Wins, our parent company, oversees compliance across both platforms.
Clients always own their data — every donor record, every transaction, every report. You can export it anytime. We store only what's needed to run your fundraising and meet reporting requirements, and your data is never sold or used to train AI models. We apply heightened safeguards for sensitive cases including financial details.
We never use client or donor data to train AI models. Every AI request is sent with zero-data-retention settings, so our AI providers don't keep your prompts or results. Your AI conversations are stored in your account so you can reopen them, private to you unless you share them with your team, and deleted when you delete the session.
Our use of AI is derived from our mission and our values — nothing else. We don't ship AI features because they're trendy. We ship them because they help campaigns raise more, help donors give more easily, or help our platform stay safer.
Every AI use case is reviewed by our internal team before launch. We weigh the risks, the benefits, and the alternatives at every stage. Governance is built into the foundation — not bolted on after the fact.
We build AI only when it advances the missions of the people we serve — campaigns, nonprofits, NIL collectives, advocacy groups — not for the sake of "using AI." If a feature doesn't make fundraising better, it doesn't ship.
We proactively identify and reduce bias in outputs. AI features that influence donor experience, copy generation, or audience targeting are tested across audiences and contexts — because a tool that works well for some campaigns and poorly for others isn't a tool we'll ship.
We tell you when and how AI is applied. AI-generated suggestions are labeled, and AI-assisted features are documented in our help desk. If something on your dashboard was generated or recommended by a model, you'll know.
Human oversight on every high-stakes decision. AI helps draft, suggest, summarize, and analyze — but real humans approve campaigns, review escalations, and own outcomes. You're never talking to a bot when it matters.
AI has a real environmental cost, and we take that seriously. We're committed to reducing it — through design choices, infrastructure choices, and weighing whether each feature is worth its footprint.
Sustainability isn't an afterthought at GoodChange and SmartChange. It's something we weigh as we build, and we'll keep raising the bar as we learn more.
We focus on inference — applying existing models — rather than training massive new ones. Training consumes the most energy by far. Inference is dramatically lighter, which lets us deliver powerful features at a fraction of the footprint.
We don't reach for the largest model when a smaller one will do. Drafting a thank-you note doesn't need the same horsepower as analyzing a year of donor behavior. Matching model size to task is one of the single biggest levers for reducing AI's environmental impact.
Our platform runs on Amazon Web Services. AWS reports that its data centers averaged a power usage effectiveness of 1.14 in 2025, meaning relatively little energy goes to overhead beyond the computing itself. Amazon also matches 100% of its annual electricity use with renewable energy, verified by an independent third party. As better options and better data become available, we'll keep choosing the more responsible path.
We'll keep adopting more efficient methods as they emerge. As research evolves, our practices evolve with it.
Concrete examples of AI features live in GoodChange and SmartChange today — each reviewed, scoped, and shipped against the principles above.
Ask the AI assistant in your dashboard about donors, gifts, refunds, and payouts in plain English. Answers come from the same data your dashboards use, limited to what your role allows.
Build a report from our report datasets by choosing the columns you need, preview it, and download a CSV. Schedule it weekly or monthly and each run is saved for you to review.
AI-assisted first drafts and one-click rewrites of donor updates and thank-you notes. You review every draft and send it yourself — the AI doesn't email your donors.
The AI can propose updates to forms, events, and donor records. Each one shows exactly what will change, and nothing is saved until a person on your team approves it.
Every card payment is screened by Stripe Radar, Stripe's machine-learning fraud detection, for suspicious patterns and unusual behavior. Bot protection at checkout keeps automated attacks out.
Smart search across our help center surfaces relevant articles faster. When a question needs a human, a human gets it — fast.
Clear rules make trust possible. Here's what's on the table at GoodChange and SmartChange — and what's not.
The questions our clients, partners, and donors ask most often — answered plainly.
We use AI only when it moves the work forward. By protecting privacy with bank-grade rigor, embedding governance into design, and reducing environmental impact through efficiency and research-backed practices, we deliver AI that progressive campaigns, nonprofits, NIL collectives, and grassroots organizations can trust.
This work is never finished. Trusted AI is built in continuous partnership — with our clients, our integrators, our donors, and the broader community we serve. We refine through feedback, share responsibility for responsible use, and evolve as the missions we support evolve.
Our commitment is clear: AI must be ethical, secure, and sustainable. Anything less puts missions at risk.
See how GoodChange and SmartChange put responsible AI to work for your campaign, cause, or collective.