AI training with Aidan Wilks.

Most teams have AI licences. Very few have AI habits. My training finds what your people can already do with AI, raises the ceiling, and turns the best of it into everyone's playbook.

Find your high-water mark. Raise it. Then make it everyone's.

Every team has a few people quietly doing remarkable things with AI, and many more who use it to rewrite emails. The gap between them is your opportunity. Here's how we close it.

  1. Baseline

    No surveys. In small, in-person sessions, each person shows the most valuable thing they've ever done with AI. I cross-check what people say, what they show, and what your usage data says they actually do. You get an honest map of your champions, your hidden talent, and the people who are busy but shallow.

  2. What good looks like

    We pick the workflows that matter most to your business and build the playbooks and short training videos for them, using your real work, not generic examples.

  3. Make it stick

    A champion in every team, a plan for the next two years, and progress measured in hours won back, not licences handed out.

Why bother? Because unguided, AI can quietly cost you.

When Harvard Business School and BCG studied consultants using AI, those working on the right kind of task finished about 25% faster and produced work rated about 40% better. On tasks outside what AI is good at, they were 19 percentage points less likely to get the right answer than colleagues without it. Knowing which is which is a skill, and it can be taught.

Aidan Wilks

A player, not just a coach.

I'm not a trainer who read about AI. Enright Logic is an agentic engineering firm first, and I build real software with these tools every day. That means I've already hit the walls your team is about to hit.

640,000words I've written into AI. More than The Lord of the Rings and The Hobbit combined.
50 billiontokens processed on Enright Logic's behalf.
57 millionwords of output. No, I haven't read it all. It's mostly code.

Before that, I spent ten years at Google in sales and strategy, where training sellers was part of the job. Teaching people to sell and teaching people to use AI turn out to have a lot in common: both are about changing habits, not handing out tools.

Figures as of October 2026.

Want to know where your team's high-water mark is?

Start with a short conversation about your team, your tools and what you'd like them to be able to do.

Talk to Aidan