Three Not TwoAbout
I help schools and nonprofits figure out AI.
I am Michael Snelgrove. I sit down with teams, understand what they need, and build a practical path forward.
I work with principals, nonprofit directors, and community leaders who know AI is changing their field but do not know where to start. I sit down with their teams, understand what they actually need, and build a practical path from "we should do something about AI" to policies, training, and tools that actually work.
I am also a parent and I have seen firsthand how AI is showing up in classrooms, in homework, and in the questions kids ask that adults struggle to answer. That lived experience shapes everything I do. I am not here as an outside expert. I am here as someone who shares these concerns.
Before pivoting to education and nonprofit consulting, I spent 28 years in technology. I built products at Electronic Arts, SEGA, and Warner Bros. I was lead front-end developer on the CBC Radio 3 website and the APEC 97 media site, and Technical Director at Cossette Communications. I led North America's first real-time chat solution for teens in crisis. That technical depth means I can explain AI clearly, without oversimplifying, and without hiding behind jargon.
Why "Three Not Two"
The name comes from a family moment. A postal code mnemonic, "3N2", became shorthand for the day our family grew. That idea of expansion, of moving from where you are to where you are going next, is at the heart of what I do.
I see the same transition in every organisation I work with. Schools, nonprofits, community groups: they know AI is changing things, but they are stuck between where they are and where they need to be. My job is to help them make that move. Not by pushing technology, but by sitting with them, understanding what they actually need, and building something practical.
From uncertainty to clarity. From anxiety to confidence. From two to three.
AI ethics and privacy
Where I stand on responsible AI adoption.
Human-centred, always
AI should support people, not replace them. Every programme and policy I build follows a human-in-the-loop approach. Teachers stay in control of their classrooms. Staff stay in control of their decisions. AI is the tool, not the authority.
Protecting the people you serve
Schools hold student data. Nonprofits hold data on vulnerable populations: people in crisis, newcomers, youth, seniors. I do not recommend tools that expose any of that to unnecessary risk. Privacy is the starting point, not an afterthought. That means understanding what data flows where and making sure the answer is acceptable before anything gets adopted.
Bias awareness built in
AI systems carry the biases of their training data. I help organisations understand where those biases show up, especially in hiring, student assessment, and content generation, and build review processes that catch problems before they reach people.
Canadian privacy frameworks
I work within PIPEDA, FIPPA, and PIPA. For BC schools and nonprofits, that means understanding data residency requirements, consent obligations, and the specific expectations of the OIPC. Compliance is not optional, and I do not treat it as optional.
How I work
Four principles that shape every engagement.
Tool-agnostic
I am not selling a platform. I recommend what works for your specific context, your people, and your budget. Every recommendation follows a human-centred approach.
Practical
Every engagement produces something concrete: a policy document, a trained team, a working framework. I do not hand you a report and leave.
Grounded in real work
Everything I recommend comes from actual engagements with schools and nonprofits. I have helped organisations go from zero AI guidelines to working policies in six weeks.
Accessible
I make AI approachable for people who are anxious about it, not just excited about it. If your team is nervous, that is normal. I start where you are.