AI Training & Adoption
A human centered approach
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You know your team needs to get better at AI. You may have even tried something already. A workshop. A lunch and learn. A tool rollout with some training attached.
And you're still waiting for it to show up in how people actually work.
That gap between what you invested in and what actually changed is exactly what this work is designed to close.
Most AI training is built around the tool, not the team.
Someone designs a curriculum, delivers it to a room full of people, and checks the box. People nod along, do the exercises, and walk out knowing more than they did when they walked in.
Two weeks later, nothing has changed.
The reason is simple. Generic training can't account for how your specific team works. It doesn't know what their day looks like, where they're losing time, what's getting in their way, or why they're skeptical. It treats adoption as an information problem when the real obstacle is almost always something else entirely.
People resist AI because nobody built something that actually fits how they work.
How Works
it
Before I design anything, I talk to the people.
Not just the stakeholders who commissioned the work. The actual individuals doing it every day. One on one, across teams if needed. I listen for how they work, where they're losing time, what they're skeptical about, and what a typical day actually looks like.
That's where the real picture emerges. And it's almost always more specific and more solvable than what anyone described in the kickoff meeting.
From those conversations I build a plan. A baseline that works for the whole organization, and targeted work for the teams where the biggest opportunities live. The quick wins that get people excited. The workflows that could be transformed. The problems a generic training would never have found.
Every engagement starts with a stakeholder conversation to align on goals and define what success looks like. Usage, efficiency, output quality, sales numbers. We decide together upfront so everyone is working toward the same thing.
Most engagements run three to twelve months. I work with multiple clients at a time and I'm typically part-time, but we set a timeline together at the start and I hold to it.
The measurable result is adoption. Usage goes up. Workflows change. People are actually using the tools instead of working around them.
And then something shifts that's harder to measure.
People are excited about their work. They were doing the same tasks the same way every day. Now they're using AI to produce better results and pushing themselves to keep improving. A process that used to take 40 hours takes 4.
That's what happens when the approach actually fits.
“I had been feeling so burnt out with my content and literally one session with Athena changed everything.
I'm baby organic authentic skateboard microdosing waistcoat, vinyl sartorial. Bodega boys street art four dollar toast.
— JEN OLMSTEAD
Expand What You’re Capable Of With AI
If this sounds like what your team needs, the next step is simple.
Tell me a little about what you're working on and we'll set up a conversation.
No pitch. Just a chance to talk through where your team is and whether I'm the right fit to help.