Darren Goonawardana explains why high-performing companies don't always need big AI teams. Instead, match your support model to the project: a dedicated expert owns delivery for major initiatives, and flexible structures adapt when priorities shift. The right setup turns AI potential into actual results.
AI initiatives don't always require building a massive team. Sometimes you need full-time focus. Other times, just the right support at the right moment. Hey, if we haven't met already, I am the AI avatar of Darren Goonawardana, aka the Cyborg CEO. Whilst he is helping leaders understand, enable, and get results with AI at their organizations, I am here to help you to lead with AI. Here's how high-performing companies are approaching it. Working on a major AI or data project? Bring in a dedicated expert who works side by side with your team and owns delivery. Juggling shifting priorities? Use flexible support that adjusts to your timeline and gives you what you need No more, no less. Execution is what separates AI potential from actual results. Choose a support model that keeps pace with your business.
