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I'm Lilach Bullock, a British AI trainer and AI implementation consultant who runs AI training for Melbourne businesses. I train teams live over video, in English, on the work they already do, so people finish using AI on real tasks, with clear rules, named owners and a simple record of who was trained on what.

Plenty of Melbourne teams have already had an AI session. Someone showed some impressive prompts, everyone was keen for a week, and then work went back to normal. That isn't a people problem. It's what happens when training isn't tied to the tasks on people's desks or to anyone owning the result.

I've been in marketing since 2003, I built, scaled and sold a digital marketing agency, and in 2024 I went all in on AI. I work with clients in Australia as well as the UK, US and Canada, and my training is designed to outlast the session.

What Australia's AI adoption guidance says about training

Australia's Department of Industry, Science and Resources publishes Guidance for AI adoption, built around 6 essential practices. The first is to decide who is accountable. Under AI literacy and training, it says to evaluate and document the training needed to build broad AI understanding across the organisation, then source or deliver training to close the gaps, and regularly check skills stay up to date.

That's a useful frame for any Melbourne business, whatever its size. Training isn't a one-off event. It starts with knowing what people need, it's written down, and it's checked again as tools change. The guidance also says organisations earlier in their AI use can begin with its foundations version, which is where most small businesses I meet sit, and that's fine. You don't need everything at once.

Start with the gap, not the tool

Before the first session I want to know three things: which AI tools people already use, including any nobody approved; which tasks eat the most time; and who will own AI use once I've gone. The answers decide the training. A sales team that writes the same proposals every week needs different sessions from an operations team buried in reports.

How the workshops run

Every workshop follows the same steps.

  1. We map the weekly tasks for each group and choose the ones worth changing.
  2. We build AI into those tasks live, on your own material with personal details removed.
  3. Each person saves prompts for their own work in a shared library.
  4. We write the rules together and name who owns them.
  5. We record who was trained and on what, then I follow up to see what stuck.

Different depth for different people

Not everyone needs the same session. A manager approving AI use needs to understand risk, rules and checking. A writer using AI every day needs depth on drafting and editing. Someone handling customer data needs to know exactly what stays out of AI tools. I split sessions by role so nobody sits through training meant for someone else.

  • Leaders: what to allow, what to check, who owns it.
  • Daily users: prompts, workflows and editing on real tasks.
  • Customer-facing staff: what's safe to use AI for, and what isn't.

Who I work with in Melbourne

Owners and managers of small and mid-sized businesses, marketing, sales and service teams, and founders who want their people using AI well without hiring a technical team. I'm independent, so I train on whichever assistant you use: ChatGPT, Claude, Copilot or Gemini.

If you'd rather have workflows built with you as well as training, see my AI consulting for Melbourne businesses. For speaking at an event rather than training a team, there's my AI keynote page for Australia, and every format is on my work with me page.

Keeping a simple record

The guidance talks about evaluating and documenting training needs, and that sounds heavier than it needs to be. For a small Melbourne business it can be one shared document: who was trained, on which tools, on what date, and which rules they agreed to. Add a line when tools or rules change.

That record does two jobs. It shows you've thought about how AI is used, if a client or partner ever asks. And it shows you who needs a refresher when your business switches tools or a new person joins the team. I leave every team with a starter version filled in from the session.

My plain advice before you book AI training in Melbourne

Name an owner for AI use before you book anything, because the guidance puts accountability first for a reason. Then find out what tools your people already use and which tasks eat their week. Train on those, by role, and write down who was trained. A month later, check whether real tasks are being done differently.

Frequently asked questions

Who offers AI training for business teams in Melbourne?

Lilach Bullock, a British AI trainer and AI implementation consultant, runs hands-on AI workshops for Melbourne teams over video, built on their own tasks and split by role.

What does Australia's Guidance for AI adoption say about training?

Under AI literacy and training, it says to evaluate and document the training needed across the organisation, deliver training to close gaps, and check skills stay up to date.

Is the training run in Melbourne in person?

Training for Melbourne teams runs live over video, in English, so people work on their own screens and files throughout.

Which AI tools do you train on?

Whichever your business uses: ChatGPT, Claude, Microsoft Copilot or Gemini. I'm independent and help you decide which tool owns which job.

How do we know the training worked?

Check a month later whether someone is doing a specific task differently. I follow up to see which workflows stuck and adjust the rest.

Can you train a team split between Melbourne and other cities?

Yes. Because every session runs live over video, a team spread across Melbourne, Sydney and regional offices can train together on the same tasks, and each role can still get its own session where the work differs.