What we talked about
Grant Byron spent two decades building things from scratch, first as a designer turning blank pages into products, then as a product and operations leader helping companies scale. In this episode, Grant shares how he evolved from web design into general management, why being a generalist is a superpower, and what he learned leading product at complex marketplace platforms like Delivery.com.
Show notes
Grant Byron started as a designer and ended up running general management, HR, finance, and commercial strategy, not by chasing titles, but by consistently being willing to get his hands dirty wherever the business needed someone. That generalist arc turned out to be the exact preparation needed to launch Forward, his AI consulting firm, at a moment when most businesses understand the buzzword but have no idea how to implement the reality.
What we covered
- Grant’s pivot from design to operations happened organically when agency clients responded well to him, and internal developers trusted him too, he could handle both sides of the fence. That dual credibility eventually grew into a general management role covering HR, finance, and commercial strategy, giving him a full-spectrum view of how businesses work that most specialists never develop.
- The practical value of seeing both sides: when a development team at his agency was running a week late, they didn’t see the urgency. Grant did, because he knew that missing the project delivery meant missing the billing cycle, which meant a cash flow gap. Neither side was wrong, they just each lacked the other’s context. He argues that making decisions inside an echo chamber or siloed view is avoidable when you’ve sat in both chairs.
- On AI-assisted MVP validation, Grant built an app for his wife in two to four hours in Claude instead of handing it to a developer. She tested it with colleagues, confirmed the concept didn’t hold up, and the idea was killed without spending weeks of developer time on a spec that no one had validated. His view is that product owners should absolutely use AI to prototype and test concepts, but production-ready systems still require engineers, because scale, load, security, and infrastructure don’t emerge from a quick vibe-coded prototype.
- Grant’s model for AI consulting through Forward is problem-first rather than technology-first. He describes many companies as buying AI because of FOMO, without identifying a real problem it would solve. His starting point with any client is asking whether there is a genuine problem, then whether AI is the right tool, and only then moving to implementation. Implementing AI in the wrong place, he says, won’t show ROI and makes the consultant look bad.
- AI fluency is his first deliverable for most business clients, just teaching staff what these tools are, how to interact with them, and what they should and shouldn’t be used for. He also flags that companies need AI policy before employees start using free-tier tools that feed data back into training models.
- One colleague he mentioned swears by using voice interaction with AI, claiming it makes his interactions roughly four times faster than typing. Grant sees the barrier to entry as genuinely low now, you don’t need to be a technologist to start getting value from generative AI, and the way to learn is simply to install it and start writing prompts.
About Grant
Grant Byron is the founder of Forward, an AI and digital transformation consulting firm he launched at the start of 2026. He brings more than 20 years of experience across product, operations, design, and commercial strategy, having worked across startups, scale-ups, ed tech, and marketplace platforms.
- LinkedIn: https://www.linkedin.com/in/grantbyron
- Website: https://www.africangiant.co.za
Episode 145 of the PreVetted Podcast.