We expand practical, responsible AI capability to Philippine NGOs, public schools, and communities through free and subsidized learning pathways — so the people closest to society’s hardest problems are not the last to benefit from the tools reshaping work.
Capable, overloaded people naturally reach for tools that help them move faster. In schools and nonprofits, that can mean staff quietly drafting, summarizing, researching, translating, and documenting with AI before leadership has had time to create shared rules.
Our work begins there. We make useful AI visible, help teams practice safely, clarify what must stay human, and give organizations a path from individual experimentation to shared capability.
That is the difference between a spark and a system.
We do not start by asking which AI product an organization should buy. We start with the people, the work, the risks, and the outcome that matters.
For NGOs & Foundations
Practical AI fluency for nonprofit teams — focused on the recurring work that consumes time while preserving the human trust at the center of the mission.
For Public Schools
Hands-on learning for teachers and school leaders built around lesson planning, assessment, administration, communication, and responsible use.
Open Community Access
Low-barrier introductory sessions where people can experience useful AI, ask practical questions, and leave with one workflow they can repeat.
Faculty rooms, school communities, NGO teams, social enterprises, webinars, and blended sessions — all moving from explanation to practice to responsible internal capability.
Kenzo AI for Good can deliver face-to-face workshops, virtual / online sessions, and blended programs. The format changes; the goal does not: usable AI fluency, responsible practice, and a clear next step.
A growing track record of helping educators and education teams build practical AI fluency — in person and online.
AI for Teachers: Using Generative AI to Plan, Teach, Assess, and Manage Work More Effectively
A virtual educator webinar focused on practical classroom and workload use cases, responsible AI guardrails, and a teacher-first operating model: the teacher remains the pedagogy; AI is the assistant.
Face-to-face with the Basecamp team + online with Power Mac store personnel.
A blended learning format that let one session reach both the core team in the room and colleagues joining virtually — proof that practical AI fluency can travel across locations without losing interaction.
A school AI fluency session hosted by PAREF Rosehill, with PAREF Northfield joining — extending the conversation beyond one campus and creating a shared starting point for responsible AI use in education.
Becoming an AI-Fluent School
An on-site session introducing school leaders and educators to practical AI fluency, responsible use, and what it takes to move from individual experimentation to school-wide capability.
From Diskarte to Systems: How AI and Technology Are Helping Social Enterprises — September 30, 2026
The session opened with one question: what takes up most of your time in running a social enterprise? The answers were familiar — reports, managing people, proposals and the day-to-day. Those became the starting point for a conversation on AI fluency: not just knowing the tools, but knowing where they actually make work easier and how they become part of better systems.
“The future of social enterprise is not AI replacing bayanihan. It is bayanihan with better tools.”— Jay Jaboneta
Brought to the community by the VisMin SErcle of the MSMEs and People’s Associations Subsector of the Philippine Social Enterprise Roadmap.
AI Clinic — Philippines + Indonesia
A 14-person distributed team from the Philippines and Indonesia worked through real NGO workflows — field notes, donor updates, research, and communications — with responsible-use guardrails built into every step.
AI Video Production Workshop — September 1, 2026
12 teams. One hour to learn the workflow. 30 minutes to ship something post-ready — scripted with Claude, shot on their phones, edited in CapCut or Canva. Some worked in the classroom. Others walked to the campus Learning Resource Center and made an ad for the library. No crew. No studio. No budget. Just diskarte.
Maraming salamat to Entrepreneurship Program Chair Elsa Daria, the E-Cell student organization, and Dean Dr. Mariane Atinaja.
The goal is never a great event photo. Whether the session happens in a faculty room, a community venue, or on Zoom, the goal is a team that can keep working with AI responsibly after the session ends — and a community that is a little less dependent on whoever can afford outside help.
Qualifying partners can enter through a free AI Clinic or supported workshop. From there, we match depth to readiness — not to hype.
01
A practical first experience: one useful task, basic safe-use principles, and a clear next step.
Free entry point02
Role-specific practice with real work so participants leave with workflows they can use immediately.
Free / subsidized03
CARE and ADOPT help leadership turn scattered use into shared guardrails, ownership, training, and review.
Supported pathway04
Internal champions, repeatable workflows, review cycles, and a practical operating model that survives the trainer.
System outcomeA strong demo creates energy. A strong method turns that energy into repeatable capability, safer practice, and institutional ownership.
01
Show one task changing in front of the room. Make the value concrete, relevant, and close to the work people already do.
02
Move from watching to doing. People build role-specific workflows, learn to brief AI clearly, and develop judgment through repetition.
03
Define what belongs with AI, what data needs protection, what must remain human-owned, and what requires review.
04
Build champions, policy, review cycles, and shared language so capability keeps spreading after the workshop ends.
CARE gives teams four walls for responsible use. ADOPT gives organizations a path from unmanaged experimentation to an adopted, living policy.
Four questions to keep useful AI work grounded in context, accountability, people, and fairness.
Know what AI is good and bad at. Treat outputs as drafts to evaluate, not truth to inherit.
A person owns anything consequential that reaches a donor, learner, beneficiary, partner, or the public.
Protect people and information. Sensitive beneficiary, learner, donor, and organizational data need clear handling rules.
Check fairness in outputs and access. A capability program should narrow divides, not quietly reproduce them.
Five steps to turn scattered AI use into a clear, teachable, reviewable organizational policy.
Survey current use and classify what information should never go into public AI tools.
Adapt a short starter policy with one named owner. CARE can provide the core headings.
Secure leadership sponsorship early, consult staff, and create the right approval path.
Launch with training and role-specific use cases — not by emailing a memo people never operationalize.
Set a review cycle, incident path, and simple measures such as confidence, quality, and time saved.
Our NGO mini-workshop is built around a deliberate sequence: create the spark with a live task, connect it to risk and responsibility, then give leaders a concrete way to make AI policy organizational rather than theoretical.
Participants do not simply leave knowing more about AI. They leave with an internal case, an adoption process, a checklist, and a next step they can bring back to leadership.
Kenzo AI for Good was founded by Jay Jaboneta, a social entrepreneur, AI strategist, author, and ecosystem builder whose work has repeatedly centered on widening access — from education access through the Yellow Boat of Hope Foundation to practical AI capability for educators, schools, nonprofit teams, and communities.
Through the Yellow Boat of Hope Foundation, Jay has seen firsthand how access to tools and knowledge transforms communities — having reached over 200 communities across the Philippines through a movement that began with a single act of generosity and a Facebook post.
The through-line is simple: new capability matters most when it reaches people who can turn it into service, learning, opportunity, and wider community impact.
We review requests based on mission alignment, readiness, potential community reach, and available program capacity. Qualifying organizations may be offered free or subsidized participation.
There is no need to arrive with an AI strategy. A clear description of your organization, people, and work is enough to start.
Public schools and education institutions serving community needs
NGOs, foundations, social-impact organizations, and community programs
Groups able to gather participants and provide a clear local use case
Teams willing to learn responsible-use guardrails alongside productivity workflows
Partners can sponsor clinics, workshops, learning cohorts, or responsible-AI adoption support. We design funding around a specific audience and capability outcome so support translates into something participants can actually use.
Kenzo AI for Good is where the Kenzo AI philosophy of practical AI fluency meets an explicit access mission for schools, nonprofits, and communities.
AI fluency training, workshops, programs, and advisory for schools, NGOs, and SMEs.
kenzo-ai.com ↗Founder profile, speaking, writing, and the wider access-and-possibility work behind the ecosystem.
jayjaboneta.com ↗The action philosophy behind starting with what is possible and building momentum from there.
startwithhopebook.com ↗