I help CEOs and exec teams leverage AI to transform their companies
and dodge the chaotic hype that wastes time and money
Plus get practical AI advice for CEOs and exec teams, delivered weekly.
"From where we were in February to where we are now, there's a complete difference. The majority of engineering is completely converted. We see a stark difference now."
Read the Instem case study →"Chris helped us build a production LLM meal generator that made our customers happier and increased revenue. Our AI system reduced customer plan changes by 30% (meaning happier customers) and increased basket usage by 14% (meaning more revenue per customer)."
Read full case study →"We were recommended some large organisations for AI training. But in the end, we used Chris, and he's been great. We've had some fantastic outcomes so far."
Read the VenturEd case study →"The team and I have really benefited from and enjoyed working with Chris. He has worked cross functionally to raise our organisational AI maturity, increasing both our internal productivity and effectiveness, and clarifying the path to production for our agentic tooling. Would recommend as a great way to augment internal capabilities."
Read the Genomics case study →
I've been a CTO and founder. I've scaled companies whilst building production AI systems and transformed delivery using AI tools.
Scaled teams from 5-50. Built agencies, B2B, and B2C startups. VC-backed and bootstrapped experience.
Production AI systems with full evaluation frameworks, not demos. Real systems serving 500K+ users.
25 years in tech leadership. I go into organisations and deliver value fast, for leaders who need results now.
"Chris has a wealth of experience on both the CTO side and the AI-enablement side. He's fun to work with, thoughtful and sitting at the cutting edge."
"If you're looking for someone to help build a great team, or you need someone experienced to help develop a sound tech strategy, I would thoroughly recommend Chris."
"Chris has helped me and my teams stay up to date and re-imagine what is possible. He's demonstrated novel ways to get the most out of the new technology on many occasions."
"Great person to go to to work out what really works and what doesn't in AI for software development and the wider business."
Next webinar coming soon
Hype-free AI deep-dives for leaders. Every past session is written up in full, and the next date lands in the newsletter first
Read the write-ups →design+AI: September 2026
Beyond Vibe Coding: From prototyping to shipping like an engineer
Read about talk → See all talks →Three evaluation frameworks built
From Cherrypick's meal generator to complex internal tools, I build systems with robust evaluation from day one
Read case study →"I joined Chris's webinar on using Claude skills to run parts of his business and it genuinely blew my mind. I spent the entire weekend trying to get AI to run my life as well."
"I highly recommend Chris Parsons' AI webinars, they are at the cutting-edge, while at the same time incredibly grounded and practical."
I have been building my own workflows, working in tandem with AI, for over a year now. Like many others, I started by giving Claude Code access to my existing Obsidian vault, and did a lot of things ad hoc. Then I installed OpenClaw, and promptly removed it again. So that I could reach everything remotely, I rented a VPS to run Claude Code from my phone, and started scheduling tasks. I then built my own project review board to bring GTD to my work, and moved to Telegram bots and several agents with small remits to organise the work further, which I am still experimenting with.
I have built a lot of stuff. A lot of it even works.
However, many of the AI systems that AI has built for me are no longer useful. Some of it has rotted, or is less useful than before, but still runs. It costs me time to review (though not enough to make me turn it off) and a tiny but growing token tax.
Plenty of companies I speak to have the same issues, multiplied. Broken workflows are a far greater burden when they infect an entire organisation, and people are trying to get to grips with them and organise them.
In all of this I have realised that there is no shared vocabulary yet for the AI routines that run my life and work. We hear people say “I have automated my business using AI”. But how do they keep it going? How do they know where their data is? How can we even describe everything they are running? We generate endless artefacts and share them with others, yet it is hard to know what data drove them, or whether other people are even allowed to see them.
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