About Us
RavaStrategy was built to bridge the gap between enterprise-level AI capability and the local businesses that need it most.
Our Story
RavaStrategy was founded by Maryam Khabazan (LinkedIn) — a Burlington-based technologist with 15 years of experience in AI and product development — including 12 years at Microsoft, where she led machine learning, chatbots, and generative AI initiatives as a Principal Product Manager, ensuring software solved real-world problems and translating complex technology into clear value.
After completing a Bachelor's degree in Computer Science from the University of Waterloo, Maryam built a career helping some of the world's largest organizations sharpen their customer communication, accelerate growth, and make better use of data and technology. The strategies behind those results — clearer messaging, smarter workflows, faster customer follow-up, and data-informed decisions — are not exclusive to enterprise companies. They are practical, proven approaches that local businesses can adopt too.
After returning to Canada and settling in Burlington, Maryam observed a growing divide: large businesses were adopting AI rapidly while local owners felt overwhelmed and left behind. RavaStrategy was built to bridge that gap — with deep technical expertise, plain-language delivery, and a genuine commitment to helping local communities stay competitive.
This photo is from presenting RavaStrategy at the Halton Small Business Starter Program, where I was proud to be named a grant winner — a great first step in bringing this vision to local business owners like you.

What We Stand For
RavaStrategy does not represent, resell, or receive commissions from any AI platform. Every recommendation is chosen for your business — not for anyone else's revenue.
The work and the savings stay with you. There are no ongoing retainers, no lock-in. The goal is your independence, not your dependency.
No buzzwords. Every recommendation comes with a straightforward estimate of hours saved and dollar value — so you can make a grounded decision before committing.