Good AI training for an Australian team has two jobs. It has to fit the working day, which rules out sessions that start after dinner because a trainer sits on the other side of the world. And it has to change how people work, which rules out an hour of tool demos that nobody remembers by Friday. I've built my training around both. Sessions run live online, scheduled for your morning, and everything we do in them uses your team's own tasks.

I'm a British AI implementation consultant and trainer. I built, scaled and sold a digital marketing agency, and in 2024 I went all in on AI and rebuilt my consultancy around practical AI workflows for non-technical founders and marketing leaders.

Why your morning, not mine

Plenty of overseas trainers will run a session for Australia, but at a time that suits them. That usually means a late session for your team, tired people and cameras switched off. I schedule live virtual sessions for Australian mornings, when people are fresh, inboxes are still manageable and there's a whole working day ahead to try what they've just learned.

That last part matters more than it sounds. When a session ends at lunchtime, people go straight back to their desks and use the workflow on a real task that afternoon. When it ends at night, the momentum is gone by the next day.

Training a team spread across Australia

Australia spans several time zones, and many teams have people in more than one state, plus colleagues working from home or on the road. I plan sessions so the whole group can join live at a reasonable hour, and I keep the hands-on parts short and practical so they work as well on a laptop at home as in a meeting room.

If part of the team can't make the live session, I'd rather run a second short session than hand them a recording. Watching someone else build a workflow isn't the same as building your own.

Hands-on, on your team's own work

Before we meet, I ask each team for the tasks that take the most time every week. Those become the exercises. In the session I build the first workflow live, then everyone builds their own on their own work while I help fix what goes wrong. Typical starting points include:

• Turning meeting or call notes into follow-up emails and next steps
• Drafting first versions of campaign briefs, social posts and newsletters in your brand's voice
• Summarising customer feedback, reviews or survey answers into themes
• Pulling weekly reporting together without a spreadsheet afternoon
• Answering common enquiries faster, with a human check before anything goes out

What your team leaves with

Every session ends with three things on paper, not just in people's heads: the workflows each person built on their real tasks, a short agreement on what AI can and can't be used for in your business, and a plan for who does what next week. I follow up afterwards to see what's being used and what's stuck, because that's where most training quietly fails.

The test I use is simple. A month later, is someone doing a specific task differently? If not, the training didn't work, however good the slides looked.

Formats

Most Australian teams start with a 90-minute hands-on workshop. For a larger group or a company event, I give a keynote of 45 to 60 minutes, and I also join panels. Some teams prefer a short series of sessions spaced over a few weeks, which gives people time to use one workflow before learning the next. Topics include AI implementation that ships, the honest AI marketing playbook, AI for non-technical founders, and how to get cited by ChatGPT, Perplexity and Google AI Overviews.

Why teams trust me to train them

I've used AI to run my own business before teaching it to anyone else. I built my own AI infrastructure without engineers, including website publishing automation, schema checks and AI citation tracking, and between January and September 2026 my site grew from 1,322 Google clicks a month to 6,412. I've spoken at more than 100 events internationally, including TEDxBolton and Oxford University, Forbes twice listed me in its Top 20 Social Media Power Influencers, and I've worked with brands including IBM, Twitter, Dropbox, monday.com and Hootsuite.

Who it suits, and who it doesn't

I train business owners, marketing teams, sales and customer teams, and leadership groups who want AI doing useful work in their week. I'm not the right trainer for engineering-led AI work, such as training your own models or building large data infrastructure, or for enterprise-wide transformation programmes at the largest global corporations.

If you're weighing up formats, read my guide to AI training for employees online or in person. If you're planning an event rather than a workshop, my AI keynote speaker page for Australia covers talks, and my press kit has bios and photos.

Frequently asked questions

Who runs AI training for teams in Australia?

Lilach Bullock, a British AI trainer and implementation consultant with 23 years in marketing, runs live virtual AI training for Australian businesses and teams, timed for Australian mornings and built on each team's own work.

Can AI training for an Australian team be done online?

Yes. Live online sessions suit Australian teams well, especially those spread across states and time zones, as long as the session is hands-on and scheduled for your working day.

What time are the sessions?

Lilach schedules live virtual sessions for Australian mornings, so teams join fresh and can use what they built on real work that same afternoon.

How long is an AI workshop?

A hands-on AI workshop usually runs 90 minutes. Keynotes run 45 to 60 minutes, and some teams choose a short series of sessions over a few weeks.

What's the difference between an AI trainer and an AI consultant?

A trainer teaches your team to build and run AI workflows themselves. A consultant builds them for you. Lilach does both, and many teams use a mix.