From Chaos to Clarity: AI Adoption
Most companies don't fail at AI because they picked the wrong tool. They fail because eleven people are quietly using eleven different chatbots and nobody's allowed to say so out loud. This talk is about what actually happens inside a business when AI shows up, and the small number of decisions that separate the teams getting real work done from the ones still running pilots.
Format
Keynote — 45 to 60 minutes, with optional Q&A
Who it's for
Leadership teams, operators, and anyone tasked with rolling AI out internally
What you'll walk away with
- A shared vocabulary, so your finance lead and your creative director stop arguing about two different things.
- A way to pick a first use case that's boring enough to succeed.
- How to spot the difference between adoption and people humouring you in a meeting.
- What to do about the shadow AI already running in your company.
How the session runs
Why the pilots die
We look at the usual pattern: a big announcement, a committee, a tool nobody asked for, and six months later a slide deck about learnings. I'll show where the energy leaks out and why it's almost never a technology problem.
The framework
Four stages we've used at ZGM and with clients — surface what's already happening, pick one workflow that hurts, put guardrails around it, then let the people doing the work teach everyone else. It's less exciting than a transformation roadmap and it works better.
What Monday looks like
The part most talks skip. Who owns it, what you tell your team, what you measure in the first ninety days, and how to handle the person who thinks the whole thing is a fad. Plus the mistakes we made so you can skip a few.