Toronto has no shortage of AI courses. What most business teams are missing isn't another course. It's someone who'll sit with their people, on their own emails, proposals and reports, and build AI into the work until it's habit.

That's how I train. I'm British, I've spent 23 years in marketing, I built, scaled and sold a digital marketing agency, and since 2024 I've rebuilt my business around AI. I work with clients in Canada as well as the UK, US and Australia, and all my training runs over video.

An Ontario rule your hiring team should know

If your business hires in Ontario, there's a rule worth covering in training. The Government of Ontario's guide to the Employment Standards Act says that as of January 1, 2026, an employer that uses artificial intelligence to screen, assess or select applicants for a publicly advertised job posting must disclose that in the posting. A short statement is enough.

The guide also says the requirement doesn't apply to an employer with fewer than 25 employees on the day the posting goes up, counted by headcount, so part-time staff count too. For a growing Toronto business, that line is easy to cross without noticing. If anyone on your team uses AI to sort applications, they need to know this. It's a good example of why AI training can't just be about prompts: the people using the tools need to know the rules that come with them in the place they work.

Where AI training pays off first

For most Toronto teams I train, the quickest wins sit in the same few places.

• Email and client replies: drafts in your own tone, checked before they're sent.
• Proposals and reports: first drafts built from your own material.
• Meetings: notes, actions and owners written up the same day.
• Marketing: one idea turned into posts, emails and pages without starting from scratch.
• Hiring admin: job descriptions and interview questions, with the disclosure rule above in mind.

How a session works

The method doesn't change, because the method is what makes it stick.

1. We list the tasks your team repeats every week.
2. We build AI into those tasks live, on your own material.
3. Everyone saves the prompts that work for their job.
4. We agree the rules, including approved tools and what always gets a human check.
5. Each person leaves with a plan for next week, and I follow up.

Tools, and why I stay independent

I'm not tied to any vendor. I train teams on ChatGPT, Claude, Microsoft Copilot or Gemini, depending on what your business already uses. Part of the training is deciding which tool owns which job, so people don't flit between assistants and get worse results from all of them.

Who this suits

It suits Toronto business owners and managers with small and mid-sized teams, marketing and sales teams, and professional service firms where the same documents get written every week. It doesn't suit teams that need engineers to build custom systems, and I'll say so on the first call.

If you want workflows built with you as well as training, see my AI consulting for Toronto businesses. Teams elsewhere in the country can start with my Canada page, and every format is on my work with me page.

What to expect a month later

I judge training by one test: is someone doing a specific task differently a month on? For Toronto teams that's usually faster replies, same-day meeting notes and proposals that start from the firm's own work. If a workflow didn't stick, I want to know why, and we fix it together.

Rules your team should agree in the first session

Every team I train leaves with written rules. For Toronto businesses they usually include these.

• Which AI tools and accounts are approved for work, and which aren't.
• What never goes into an AI tool: client confidential material, personal details, anything under an NDA.
• What always gets checked by a person before it's sent, published or acted on.
• Who owns AI use in the business, and who to ask when something isn't covered.
• How AI use in hiring is handled, including the posting disclosure where it applies.

My plain advice before you book AI training in Toronto

Check whether anyone already uses AI on job applications, and if your headcount is 25 or more, make sure your postings say so, as Ontario's guide requires. Then pick three weekly tasks to train on. Training built on your own work sticks. Training built on generic examples is forgotten by the next sprint.

Frequently asked questions

Who runs AI training for business teams in Toronto?

Lilach Bullock, a British AI trainer and AI implementation consultant, runs live AI training for Toronto business teams over video, built on each team's own tasks.

Do Ontario employers have to disclose AI in job postings?

Ontario's guide says that as of January 1, 2026, an employer using AI to screen, assess or select applicants for a publicly advertised posting must say so in the posting.

Does the Ontario AI disclosure rule apply to small businesses?

The guide says the job posting requirements don't apply to an employer with fewer than 25 employees on the day the posting is posted, counted by headcount.

Is the Toronto training in person?

Training for Toronto teams runs live over video, in English, so people work on their own screens and files the whole time.

How long does a session take?

A focused team session is usually a 90 minute hands-on workshop, with a follow-up to see what stuck.

Which tools do you use in Toronto training?

Whichever your business already uses or is choosing between: ChatGPT, Claude, Microsoft Copilot or Gemini. I'm independent, so I'll help you decide which assistant owns which job rather than pushing one.