AI training and workshops for marketing teams
From someone who runs AI in client delivery daily, and supports it until it sticks.
AI training and workshops for marketing teams take a team from experimenting with AI to actually using it in daily work. You get hands-on sessions built around your real workflows, in your own tools, plus support through to adoption so it sticks. I run them as someone who uses these AI workflows in live client delivery every day.
You’ve probably tried some of this already. A few people on the team had a go with the tools, got generic output, and quietly drifted back to doing it the old way. Someone watched a clever demo, tried to copy it, and it never quite worked on their actual job. Half the team spends longer editing AI’s first draft than it would have taken to write the thing themselves. So AI sits there, paid for and barely used.
I’m Tamas, and fixing exactly that is what this is for. I train marketing teams and agencies to use AI properly: in their real work, on the jobs that eat their week, with support afterwards so it becomes how the team actually operates. Plain English throughout.
What your team actually learns
Most AI training teaches prompts and stops there, which is exactly why the results fade. The training I run goes after the things that make AI stick in a marketing team:
Context engineering, so the output sounds like you. Relying on prompting alone is why teams get generic, off-brand output. I teach your team to feed AI the right context, so what comes back sounds like your business and holds up under real scrutiny. This is the thinking that separates AI worth using from the generic stuff.
Workflows built around your real time-drains. No generic curriculum. We find where your team actually loses hours, like proposals, reports, content briefs and research, and build AI workflows around those specific jobs. This is where generative AI training earns its keep: real upskilling on your real work.
Winning over the sceptics. “I tried it, it was rubbish.” “It doesn’t get our process.” Getting resistant team members to genuinely change how they work is the core challenge, and the reason most rollouts fail. I plan for it from the start.
Hands-on practice, embedding, and simple ROI tracking. Your team builds real workflows during the sessions, in their actual tools. Then ongoing support so the habits hold, plus lightweight tracking so you can show what changed: time saved, tasks taken off people’s plates. The kind of evidence you can take to leadership.
How it works: a four-stage approach
It always starts with your team and the work they actually do, so the training fits your reality rather than a generic curriculum. There are four stages.
- 1
Diagnose
A discovery call and a short needs assessment. We find your team’s biggest time-drains, their current comfort with AI, and where the fastest wins are. You get an honest read on what’s worth doing before you commit to anything.
- 2
Design
I build the programme around your specific workflows, team and goals. The format and sequencing come straight out of what Diagnose surfaced, so the training fits your reality.
- 3
Deliver
Hands-on sessions where your team builds real workflows in their own tools, against their own work. Everything is usable the next morning.
- 4
Embed
Ongoing support so adoption actually happens: check-ins, troubleshooting, and refinement as the team starts using AI for real. Embed is the stage most training skips, and the reason it’s the one I protect most. It’s what stops the team quietly slipping back to the old way once the sessions end.
AI workshops for marketing teams
The format flexes to fit. Sometimes the right answer is a single focused AI workshop on one painful job. Sometimes it’s a phased programme of AI workshops and coaching over several weeks, with the Embed support running alongside. Remote or in-person, both work.
We agree the shape, the length and the price up front, once Diagnose tells us what your team genuinely needs. Off-the-shelf AI training teaches everyone the same thing whatever their role, which is a big reason so little of it lands. Yours is built around your marketers and the campaigns, content and reporting they handle day to day.
Built from real client delivery
Here’s what I think actually matters when you’re choosing who trains your team: whether they still do this work themselves, on live jobs with deadlines. I do.
I run these AI workflows in live marketing delivery every day, with real clients and real deadlines. So what your team learns is what genuinely works when it counts, taught by a marketer who’s still in the work. That’s also why the thinking-first approach matters: context engineering and workflow thinking don’t go stale when a new model lands. Your team keeps the capability whatever the tools do next.
Who it’s for
This is built for in-house marketing teams and agency teams who already know AI matters but haven’t turned it into consistent, reliable habits. It’s the marketing-specific version of my broader AI training, built around the workflows a marketing team actually lives in. No technical background needed. If your team can use email, they can do this.
It works best when a few things are true: your team will get real time to practise what they learn, and there’s genuine appetite to change how the work actually gets done. AI training only sticks when the people involved want it to, and the business backs that with a bit of space to embed it.
See where your team really sits with AI
Not sure whether your team needs a single workshop or a full programme? The AI readiness survey is a quick way to find out. A few questions about how your team works with AI today, and you get a scored snapshot back: where you sit, where the quick wins are, and what to tackle first. About three minutes, and you get the snapshot straight away.
Who’s actually teaching you
The fastest way to judge AI training is whether the person teaching it actually does the work. So here’s what I do.
I’m Tamas Mihaly, based in Bristol, UK, and I work with teams wherever they are. I headed up AI implementation at a marketing agency, which means I’ve been exactly where you are: facing the resistance, the objections, and the gap between “AI can do amazing things” and getting a real team to use it on a Tuesday. I know why adoption fails, because I’ve had to make it work from the inside.
I learned AI as a working marketer, hands-on and on deadline, which is why I can teach it in plain English and show your team what works in real campaigns. I still use it every day across my own businesses and client work, so the training keeps pace with how fast AI moves.
“Genuinely impressive… the practicality. Real demonstrations, useful tools, quick wins you can apply immediately. If you want to make AI work harder for you, Tamas is the person to call.”
Rich O. · Director, Flex Digital
“A year of training later and it has changed how I work, how I run my business, and how I think… he lives and breathes this and that enthusiasm makes everything land.”
Vikki R. · Business owner
What people ask about AI training
Most AI training is built to feel useful on the day, then fades within a week because nothing supports the change afterwards. Here, adoption is the whole goal. The programme is built around your actual workflows and your team’s specific sticking points, and the Embed stage exists precisely because that follow-through is where other training drops off. You’re paying for habits that last.
Ready to make AI part of how your team works?
If your team knows AI matters but it hasn’t stuck, let’s talk. I’ll be straight with you about whether training is the right move and what it would take to make it land.