We use AI only when it makes giving easier, fundraising smarter, and platforms safer. Donor data is protected, every use case is reviewed, and our footprint is measured. 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 measure, 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 leading frameworks including PCI-DSS (payment card data), SOC 2 principles, NIST SP 800-53, and ISO/IEC 27001 — 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 with multi-factor authentication, CVV verification on every transaction, 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, in any format. We use only aggregated, anonymized information for service improvements, and we apply heightened safeguards for sensitive cases including financial details.
We never use client or donor data to train our own AI models. Our third-party AI partners do not retain customer data. Prompts, files, and results are used only to deliver the requested feature or response — no one else can see them. All AI features run securely in our cloud environment.
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. 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 the discipline to say no to features that aren't worth the footprint.
Sustainability isn't an afterthought at GoodChange and SmartChange. It's a constraint we design within from day one.
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 cloud infrastructure is provided by carriers that operate at significantly higher energy efficiency than standard data centers, with ongoing commitments to renewable energy. We choose providers who publish their numbers.
We track AI energy usage across features, adopt more efficient methods as they emerge, and train our teams to use AI responsibly. 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.
AI-assisted draft suggestions for fundraiser descriptions, thank-you notes, and donor outreach. You stay in control — every word is yours to edit, approve, or replace.
Pattern recognition across engagement, source attribution, and giving behavior — surfaced as recommendations, never as automatic decisions.
Machine-assisted detection of suspicious transaction patterns, anonymous gift card attempts, and unusual donor behavior — paired with CVV verification and human review.
AI helps surface incomplete donor records, format compliance exports, and flag fields that need attention before filing — reducing manual error and saving hours.
Smart search across our help center surfaces relevant articles faster. When a question needs a human, a human gets it — fast.
AI-generated summaries of dashboard analytics make it faster to understand what's working — written in plain language, with the raw numbers always one click away.
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.