The room is energised. Then nothing changes.
People leave thinking this is going to change everything. Two weeks later, they are back to doing things the way they always have. Not because they are resistant. Because the training showed them what AI could do in general terms.
It did not show them how it fits the briefing process they use, the reporting they run, the way they resource projects or manage clients. The gap between "I can see the potential" and "I know what to do on Monday morning" is where most training falls apart.
Scoped to your work, before anything is booked.
Every programme I build starts the same way: a short conversation about your agency. Not a sales pitch. A scoping call where I find out how your team works, where the friction sits, what they are already doing with AI, and what you actually need to change.
From that conversation, I build a programme around your team's specific starting point. No two programmes look the same, because no two agencies work the same way.
Built from proven components, assembled to fit your team.
Foundation
A half-day session that sets the baseline for the whole team. Shared language, a shared sense of what AI is good at and where it falls short, and practical exercises that surface where it could make the biggest difference in each role.
Applied modules
After Foundation, the programme goes where your team needs it most. Mapped to how work flows, from enquiry to reporting, or organised around your teams, client services, creative, operations. We figure out which fits in the scoping conversation.
Specialist sessions
Deeper work in specific areas. What can and cannot go into AI tools, platform-specific sessions for Copilot, Claude, ChatGPT or Gemini, and where automation and agentic AI fit for teams ready to go beyond prompting.
Internal champions
The programme equips 2 or 3 people who learn deeper, then help everyone else embed it. They become the internal troubleshooters. They are the reason the training is still producing results 3 months later, not just 3 days later.
The part that makes it stick.
Virtual sessions
Smaller groups, 2 hours at a time, on a video call. People bring real problems from their week and we work through them together. The problems get solved as they arise, not saved up for one session.
A working session
A half day in person at your office, 2 to 4 weeks after the main programme. Participants bring a real operational challenge and build an AI-assisted version of it. They leave with something usable, not theoretical.
Agency teams ready to change how they work.
Agencies and in-house creative teams. Typically 15 to 150 people, though the programme scales in both directions. Your team can be anywhere from "we haven't really started with AI" to "we're using it but inconsistently and we're not seeing the results we expected."
The common thread is that you want AI to fit into how your team works, not the other way around. This is not a lunchtime webinar or a one-off inspiration session.
In their words.
Working with her shifts the conversation from "What is possible?" to "What is practical, and where do we start?" That balance of vision and pragmatism is rare. She makes teams feel capable rather than intimidated, and inspired rather than overwhelmed.
Tabitha is a wealth of knowledge and can turn the scarily fast-paced developments in the world of AI into guidance which is digestible and actionable. I came away with a much better grasp on how to cut through the noise and ensure AI solutions fit our unique challenges as a business.
If you are looking for a shorter, more accessible starting point rather than a bespoke programme, have a look at the open training on chofski-ai.com instead.
Every programme begins with a conversation.
No slides. No sales pitch. Just a straightforward discussion about where your team is, what is not working, and what would make the biggest difference.
Book a call