There's a new AI tool every week. Your competitors are talking about it. Your board is asking about it. And your team still isn't sure what any of it actually means for them. I bring clarity, not complexity.
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You've probably had the conversation a dozen times. "We need to do something with AI." But no one can agree on what that actually looks like.
Maybe you've tried a few tools. Maybe someone on the team uses ChatGPT for emails. But there's no strategy, no structure, and no confidence that you're doing the right things.
Meanwhile, the pressure keeps building. New tools launch every week. Competitors are posting about their "AI transformation" on LinkedIn. And the people selling AI solutions speak in jargon that doesn't help.
The problem isn't that AI is too complicated. It's that no one's sat down with you and made it clear.
I'm an AI consultant. That means I work directly with companies — usually founders, leadership teams, or ops leads — to figure out where AI fits into what you already do.
I look at your actual workflows. The emails, the reports, the data entry, the processes your team does on autopilot. Then I identify where AI can take real weight off — and where it can't.
From there, I build you a clear plan and coach you through it. Not a 50-page strategy deck that sits in a drawer. A practical, understandable roadmap that your team can actually follow.
By the end, you're not dependent on me. You understand what you're doing and why.
We start with a call. You tell me what's going on — what you've tried, where you're stuck, what's keeping you up at night. No prep needed. I just need to understand your business.
I look at how your team actually works. The tools, the processes, the things that eat up time. I'm looking for the gaps where AI can make a real, measurable difference.
I put together a clear, prioritised roadmap — what to do first, what tools to use, and how to roll it out without disrupting what's already working. No jargon. No fluff.
I don't just hand you a plan and disappear. I stay with you through implementation, coaching your team until they're confident using the tools themselves. The goal is independence, not dependence.
I produce weekly AI content for Gcore and run a large weekly AI meetup. Here's some of what I've been working on recently.
Opus 4.6 walkthrough — Gcore
Open Claw vulnerability breakdown
Perplexity Computer — hands-on review
"Working with Harry Verity was an inspiring experience. He has an exceptional ability to lean in and quickly grasp complex AI concepts, from the foundational mathematics to more advanced technologies. Harry knows how to frame the picture around any challenge, approaching problem-solving with a deep curiosity and strategic focus."
"Harry's advice on AI, marketing and strategy has been one of the key factors in helping us drive Stack Optimize, our lead generation business to over $500,000 in annual revenue. His wisdom in the latest AI tools and strategies has enabled us to take on more clients while maintaining our high level of service and results."
"Harry's deep understanding of AI, combined with his strategic thinking, has provided me with invaluable guidance that has directly contributed to our success."
I studied Early Modern History at York, wrote a crime novel, and ended up covering artificial intelligence for The Guardian. It's an unusual path — but it turns out a background in making sense of complicated things is exactly what this field needs.
Now I split my time between consulting with companies on AI, producing weekly video for Gcore, and writing for publications that want AI explained without the hype.
I also run a weekly AI meetup — around 500 members — where engineers from OpenAI, Google, and some of the bigger VC firms have come through to speak. It keeps me plugged into what's actually happening, not just what's trending.
The thread through everything I do is the same: taking something that feels overwhelming and making it clear enough to act on.
Every week I host a large AI meetup regularly attended by over 100 people — a room full of professionals, founders, and engineers, figuring out what's real and what's noise. Here are some recent sessions.
