Operate like an AI-native company.
If you treat AI as a tool you bolt on, you'll get a faster version of the old company.
But build it as the operating system you run on, and a small team can outpace much bigger rivals.
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What it means to be AI-native
An AI-native company isn't one with more AI tools. It's built on three things.
A company brain
Everything your company knows, captured so AI can actually use it.
AI at the center
AI runs routine operations; people do the work that needs a human.
Systems that self-improve
They watch their own results, catch what's not working, and get better on their own.
Who you're working with
Experimental Technology was founded by Huw Walters. Over the past year we've worked hands-on with small and mid-sized businesses putting AI at the center of how they operate. Huw has worked in AI since 2018, including as a Staff AI Product Manager at Meta and as Head of Product at an AI startup acquired by TikTok, and holds a degree in philosophy and psychology from the University of Oxford.
We're not a platform or a big consultancy. We're a small, senior team that works alongside yours, blending advice, engineering, and hands-on teaching so your people can run what we build themselves.
Systems we’ve built
Make your company’s knowledge and expertise available to the whole team
- Problem: Each person holds a different part of your team’s knowledge and expertise, and the rest is buried in documents, chat history and meeting transcripts. Very little of it reaches the people, or the AI, that need it.
- Solution: A memory system that holds your team’s knowledge and expertise, with each kind of information structured so AI can pull in exactly what each task needs.
Get your team better at planning their work, and at telling you how it’s going
- Problem: Most people find planning hard. They focus on activities rather than goals, spend their time on low-impact tasks, and don’t communicate their plans clearly.
- Solution: AI helps each person pick the work with the most impact, frame it as a goal, and share it in a short, clear update.
Document your work in a way others can understand quickly
- Problem: AI has made writing cheap, but reading hasn’t got any easier. People send more and edit less, which shifts the effort from the writer to the reader.
- Solution: Any work you plan to share with others becomes a short, well-structured and often visual write-up that people can understand straight away.
Get work right with fewer rounds of review
- Problem: Senior people spend a lot of time reviewing their colleagues’ work, often over several rounds before it’s ready. It helps the team learn, but it’s slow and uses up your most expensive time.
- Solution: An AI learns from the feedback your reviewers give and gives the same kind of feedback on early drafts, so fewer rounds of human review are needed.
Bid for more work than you currently have time for
- Problem: Every bid takes time to put together, so you only go after the opportunities you feel most confident about.
- Solution: AI drafts each new bid from answers you’ve already given, so you can work more efficiently and go after more opportunities.
Get new people productive without tying up your best ones
- Problem: Getting a new joiner up to speed is slow, and it ties up your most experienced people while it happens.
- Solution: Onboarding material is generated automatically for each new joiner, and they can query the company brain whenever they have follow-up questions.
Get in touch
Ready to explore what becoming an AI-native company could look like for you? Let's start a conversation.