Machine Learning X Doing Franchising: Creating effectiveness and risk management for brand owners and franchisees

The future of work is changing the world of franchising. Many brand firms struggle to select and retain the best possible business partners to extend their brand in new directions. An operating manual that worked in one context might not yield the desired result in a different setting.

Errors in one franchise can affect the entire brand.

What is the secret to taking your brand to the next level? Machine Learning X Doing Franchising is a rigorous approach to improve outcomes for brands, franchise partners and to advance the entire industry.

You set the standard for everyone else. By not allowing the box to define you, you’ve become the box for others. You’re known for attention to detail and excellence.

As you’ve set your sights on new partnerships, it’s naturally a little harder to keep doing what has never been done.

Traditional and innovation consulting can inspire change, but world-beating value at scale are rare. Errors can be costly over time. The world is changing. What if next-level AI could transmit and sustain your DNA and impact, empowering your franchising process with scientific and data-driven decision-making?

Welcome to your next level. Welcome to the future of your franchise

How can your franchisees evolve in a way that strengthens your existing efforts?

Build on your innovation legacy with next-level AI.

Be you. Sustain and improve your franchisees for impact over the long run






It is up to us all to make the world a better place, starting with the business franchising needs of your organization

Introducing the next-generation of AI, designed around the fundamental question of what it means to be human

Together, we will inspire change in the world, by first introducing your organization to its true potential



Kweku Opoku-Agyemang, Ph.D.

Kweku Opoku-Agyemang, Ph.D., is former faculty at the University of California, Berkeley in development economics, former computer science researcher at Cornell University and visiting scholar at UC Berkeley Mechanical Engineering. He has advised Google scientists, given talks at Facebook, presented to government officials from 12 countries and others.

A former session Chair at the Canadian Economic Association, Kweku believes that his next-generation Machine Learning X Doing approach can help organizations and countries to do better by their people by meeting or exceeding their potential and taking their culture to its real potential. He is based in Toronto, Canada.