AI Business Consultant · AI Experience Designer
Holistic AI strategy rooted in human experience.
I help nonprofits, health & wellness practitioners, and small businesses deploy AI that actually fits their reality — practical, ethical, and built for humans.
Ground. Befriend. Nurture. Return.
About
My foundation is a decade of hands-on technical work: early healthcare UX and clinical tools, including a side-effects research tool at Sunnybrook Hospital, then years as a solo full-stack contractor building analytics, BI pipelines, and product systems for international online gaming operators.
That work taught me something many AI conversations miss: technology only matters when it serves the people who have to live with it. So today I focus on AI strategy and experience design for nonprofits, health and wellness practitioners, and small businesses — holistic AI that fits their reality. My approach is practical, no-code first, and rooted in responsible AI principles.
I think about AI not just as a tool, but as a design medium — one that shapes how people feel, decide, and connect. Which is why I don't start with the technology. I start with a seed: the human wish at the heart of the work. I build outward from here.
Honours BSc, Computer Science, University of Toronto.
MIT Big Data & Social Analytics · Oxford Saïd Blockchain Strategy · UofT Rotman Generative & Agentic AI for Business · Microsoft/NetHope AI for Nonprofits
Responsible AI isn't a checklist. It's the architecture — from the first decision to the last.
In practice: the smallest model that can do the job. Retrieval over retraining — giving a model access to your information rather than rebuilding it from scratch, because that is cheaper, more transparent, and keeps your data yours. Lean, agnostic, and modular, so nothing here locks you into one vendor or one consultant.
Every project completed here also plants real trees, through a verified reforestation partner — a small, visible way to account for the environmental cost of the work. Not a perfect solution. A starting direction, tended toward zero.
MINI-CONSULTANT
To start the conversation. Explore how I work, where AI might help, or whether it fits at all.
Method
Four movements, one coherent approach — the structure stays; what fills it is shaped by who you are.
THE SEED CYCLE
Before touching any tool, I anchor in organisational reality. Scoping capacity, constraints, and strategic fit before any implementation decision is made. Not 'what can AI do?' but 'what does this organisation actually need, what can it absorb, and where is the highest-leverage entry point?' Many implementations skip this step entirely — and pay for it later.
AI adoption fails when people don't understand what's been deployed. This phase builds organisational AI culture through intentional change management, ethical framing, and experience design that makes the introduction feel safe rather than threatening. I design the first interaction, the onboarding moment, the policies that give staff confidence, and the guardrails that keep the tool aligned with organisational values. AI doesn't get deployed into an organisation. It gets introduced to one.
For most small organisations, data is not yet an asset — it's a burden, scattered and underleveraged. This phase builds the relationship with data over time: establishing feedback loops, refining outputs, and developing the internal capability to use AI with intention rather than reaction. Turning what happens to you into something you direct — becoming a conscious agent of your own environment.
When outputs drift, adoption stalls, or the tool starts serving the system instead of the people, I return to the original intention through a structured evaluation: are the metrics still coherent with the goal? Are model outputs aligned with the use case they were designed for? Are we still measuring what actually matters? Return on Intention is the accountability loop that closes the implementation cycle and confirms the work delivered what it promised.
IN PRACTICE
The Seed Cycle applied to a small nonprofit's donor welcome flow.
Planting the seed of strategic generative thinking — mindfully.
Tools
Self-serve resources designed for real-world constraints. The readiness audit adapts by audience and generates a delivered report. The Return on Intention Scorer adds a fast reflection on alignment before you build.
AI READINESS AUDIT
An honest read of where you stand, what's in reach, and what to skip.
RETURN ON INTENTION SCORER
Five reflective questions. One grounded verdict on whether the plan serves the human wish at its heart.
Services
Every engagement starts with understanding the real problem — then delivering recommendations that get used, not shelved.
Clarity on where AI fits your organization — prioritized opportunities, realistic timelines, and a plan your team can actually follow.
Reliable prompt systems and workflows so your team gets consistent outputs without reinventing the wheel every time.
Practical automation that removes repetitive work and connects the tools you already use — no enterprise overhaul required.
Turn scattered data into decisions: dashboards, reporting pipelines, and insights framed for the people who need to act on them.
Human-centred AI interactions — how people feel, decide, and connect when technology is part of the experience.
Clear, usable policies for responsible AI use — ethical guardrails your board, staff, and stakeholders can understand and adopt.
Contact
Start with a free 30-minute conversation — no pitch deck, no pressure. We will talk through your context and whether working together makes sense.
