You don't need an AI strategy. You need your problems solved.
Everyone is telling businesses to adopt AI, and that advice is fine as far as it goes. But adoption isn't the goal, and neither is any particular tool. The goal is that the work your team dreads gets faster, cheaper, or disappears entirely. I start from your problems, not from the technology, and I build whatever actually solves them.
The filter question I bring to every engagement: what is the repetitive work you would never miss if it were gone tomorrow?
Get efficient without learning new software
Most small businesses in Canada are not using AI to run leaner, and it is rarely a technology problem. Nobody has time to evaluate tools, and nobody wants to retrain staff on a new system. So I build inside the tools you already pay for and already know.
A dog groomer near me ran her whole schedule with pen and paper. I built her a booking system with automated reminders on Google Workspace, which she already had, so she went from paper to fully digital without learning a single new app. That is the shape of every engagement: your workflow, your tools, less of your time spent on the boring parts.
Bookings, quotes, invoicing follow-ups, customer replies, inventory checklists. If it is repetitive and it eats your evening, it is a candidate.
AI transformation with a product manager's discipline
I did this inside a real company before doing it as a consultant. At Coconut Software I built the AI literacy and adoption program from scratch with no formal mandate, and daily AI usage grew from 25 percent to 65 percent across every function because the training was hands-on and tied to real workflows, not demos.
I also developed the company's first AI product strategy and presented it to investors, which secured $2.5 million in funding, and I built six internal AI tools that reached 100 percent adoption among the product managers who used them for PRD generation and interview automation.
For a larger organization that means three things I can own: finding the workflows worth automating, building the custom tools and agents, and setting up the governance so usage grows safely instead of chaotically.
AI literacy your team will actually use on Monday
I run hands-on AI workshops for teams and leadership groups. Every session works on your real documents, your real workflows, and your real questions, because the fastest way to kill AI adoption is to train people on toy examples they can't connect to their job.
I've done this as a guest speaker at York University's Product Management Program, as a featured speaker at ProductCamp Vancouver, and week after week inside Coconut Software, where the program I built took daily AI usage from a quarter of the company to two thirds of it. I mentor with ProductBC and I'm an active member of Women Defining AI, and teaching more people to get comfortable solving problems with AI is a big part of why I do this work.
- Foundations for teams new to AI, covering what it is good at, where it fails, and how to prompt for real work
- Function-specific sessions for sales, support, marketing, and product teams, built around their actual workflows
- Leadership sessions on AI governance, safe usage policy, and where to invest first
How an engagement starts
We start with a 30-minute call where you tell me what is slow, manual, or painful, and I tell you honestly whether AI helps, because sometimes the answer is a spreadsheet and I will say so. If it makes sense to continue, I spend time watching how the work actually happens before proposing anything, and then we agree on one specific outcome to build or train toward.
I take fractional and contract product roles on the same basis, so if you need senior product capacity without a full-time hire, that conversation starts the same way.