AI Integration
Get your team actually using the AI tools you already pay for
Most teams I see fall into one of three buckets: they bought Copilot licenses and three people use them; they're scared of "letting AI write the code"; or they let AI write everything and now have a codebase that surprises them every Monday.
There's a middle path — and it takes more than a Slack announcement.
Sounds familiar?
- You bought AI tool licenses and adoption is somewhere between "nobody" and "the one keen junior"
- Your seniors don't trust AI, your juniors trust it too much
- You don't have an answer when someone asks "should I use AI for this?"
What you get
- A team that actually uses AI tools, productively, in your real codebase
- Internal guidelines for when to reach for AI and when not to — written in your team's language
- Hands-on practice, not a slide deck someone forgets the next day
How I work
I show up in your codebase, not your conference room. We pick real tickets and work through them together: where AI helps, where it lies, where the human is faster, where the model needs better prompts.
I'm a tech lead myself, so I think about this from the inside: what survives once I'm gone, what becomes habit, what was just hype.
This isn't a "future of work" talk. It's onboarding for tools your team already has.