How We Work
Every session, curriculum, and conversation at SAI4RAI is grounded in proven human-centered frameworks — from mission design to experiential learning. AI is the topic. Humanity is the method.
Alex Osterwalder's Mission Model Canvas adapts his famous Business Model Canvas for nonprofits and mission-driven organizations. Instead of "customers," we think in beneficiaries. Instead of "revenue," we think in impact and sustainable funding. Here is SAI4RAI's own canvas.
"To provide free, responsible AI education to underserved communities — building the confidence and critical thinking people need to navigate an AI-shaped world with dignity."
Why this matters: Before we design a single workshop, we map our own mission canvas. This ensures every activity, partner relationship, and funding conversation connects back to one thing — the beneficiaries we exist to serve.
Before we teach a single concept about AI, we spend time deeply understanding the people in the room — their lives, fears, hopes, and the jobs they're trying to get done. Four interlocking tools help us listen before we lead.
Maps the fit between what a community needs (their jobs, pains, and gains) and what we offer (our value proposition). We run this before designing any curriculum to ensure we're solving real problems, not assumed ones.
We create composite portraits of the real people we serve — a 58-year-old immigrant grandmother navigating healthcare apps, a college junior anxious about AI and employment — so every design decision stays connected to a human face.
We explore what community members Say, Think, Do, and Feel about AI — especially what they hear from trusted sources and what they fear but don't say out loud. This surfaces the emotional landscape our education must address.
People don't just learn — they hire education to make progress in their lives. JTBD asks: what progress is this person trying to make? It shifts our frame from "delivering content" to "helping people move forward."
IDEO's five-stage Design Thinking process, as developed at the Stanford d.school, is our curriculum design methodology. Every new workshop we build follows these stages — and we teach it to communities as a tool for their own problem-solving.
Listen to the community. Observe without judgment. Understand the emotional and practical context of their lives before any AI conversation begins.
Synthesize what we heard into a clear problem statement: How might we help [this person] do [this thing] so they can [achieve this outcome]?
Generate many possible learning approaches — activities, scenarios, simulations, discussion formats — before committing to any one design.
Build a lightweight version of the session — a one-page guide, a 15-minute pilot, a quick activity — that we can test without full commitment.
Run the pilot, gather real feedback, and iterate. We never assume a curriculum is "done" — only improved.
David Bland and Tendayi Viki's Testing Business Ideas framework teaches us to treat every assumption we make about our community as a hypothesis to be tested — not a fact to be assumed. We never scale a program we haven't validated.
Before launching any program, we list every assumption we're making — about what participants need, how they learn best, and what will drive engagement — then rank them by importance and uncertainty.
For our riskiest assumptions, we design simple experiments: We believe [X]. To verify this, we will [do Y]. We know we're right when [Z happens]. This keeps us honest about what we actually know vs. what we hope.
After each pilot session, we capture what we observed, what it means, and what we'll do differently. Learning Cards transform every session into structured organizational knowledge.
We only invest in scaling programs that have real evidence of value — participant feedback, facilitator observations, community outcomes. Enthusiasm is not evidence. We need both.
"The biggest risk is not building something wrong. It's building the wrong thing — for real people — and not knowing it until it's too late."
Our adaptation of Bland & Viki's core insight — applied to nonprofit educationSharon Bowman's Training from the BACK of the Room (TBR) and her 4Cs model are the backbone of how we facilitate every session. The research is clear: people learn by doing, not by listening. So we get out of the way.
Begin by connecting new content to what learners already know. We ask: "When have you already used AI today without realizing it?" Learning that connects to lived experience sticks.
Present new concepts in short bursts — never more than 10 minutes of direct instruction at a time. We break AI topics into small, digestible pieces paired with immediate activity.
Participants use, apply, and practice — not passively receive. Simulations, role plays, and real AI tool interactions let people experience concepts in safe, guided contexts.
Learners summarize, celebrate, and commit. We close every session by asking participants to state one thing they'll do differently — anchoring learning to real action.
The 90/20/8 Rule: Adults can listen with understanding for no more than 90 minutes, with focused attention for no more than 20 minutes, and must actively engage at least every 8 minutes to stay energized. Every SAI4RAI session is designed around this rhythm — we never lecture. We facilitate.
Responsible AI isn't a module we add at the end — it's the lens through which every conversation happens. Equity, transparency, accountability, and human dignity run through every framework, every activity, and every discussion.
We teach participants to ask: Who benefits from this AI system? Who is harmed? Who was left out of its design? Equity is not an add-on — it's the first question.
We help people understand that AI systems can be questioned, challenged, and demanded to explain themselves — and that this is a civic right, not a technical privilege.
Every session reinforces that AI serves humans — not the other way around. Participants leave understanding they have the right and the power to say "no," "not yet," or "explain this to me."
We practice what we teach —
and we can show you the receipts.
SAI4RAI built its own organization using every framework on this page. We mapped our Mission Model Canvas before we designed a single program. We ran empathy interviews before we wrote a single slide. We tested our first session with 12 people before we called it a curriculum. Our methodology isn't theoretical — it's the story of how we came to exist.
Whether you lead a faith community, a workforce program, or a neighborhood organization — we'd love to learn about the people you serve and explore how SAI4RAI's methodology can help.