When a Canadian business looks for an AI trainer, the hard part isn't finding someone who knows the tools. It's finding someone who can get a marketing team and a customer team using AI on Tuesday's real work, without a week of theory first. That's the training I run.

My background is marketing, not engineering. I've spent 23 years in it, built, scaled and sold a digital marketing agency, and in 2024 rebuilt my consultancy around practical AI for non-technical teams. I train live online, in English, wherever your people are.

A Canadian thread in my work

Two of the brands I've worked with started in Canada: Hootsuite, the social media management platform, and Greenpeace. Both sit close to the work I train teams on now, which is getting messages, campaigns and customer conversations out of the door faster without losing the voice behind them. Alongside them I've worked with IBM, Twitter, Dropbox and monday.com.

One session, coast to coast

Canada runs across several time zones, so a team in Vancouver and a team in Halifax rarely share a comfortable meeting slot. I schedule live online sessions in a window that works for everyone in the group, and where the gap is too wide, I split the training into two live sessions rather than ask half the team to join at the edge of their day.

AI training for marketing teams

Marketing teams usually come to me with plenty of AI curiosity and very little shared practice. One person uses it for every draft, another won't touch it, and nobody knows whether the brand voice survives. We fix that by building workflows on the team's live work, such as:

• Campaign briefs and content plans drafted from your own notes and past results
• Social posts and newsletter copy written in your brand's voice, then edited by a human
• Repurposing one piece of content into several formats
• Weekly reporting pulled together and summarised
• Getting your business cited in answers from ChatGPT, Perplexity and Google AI Overviews

AI training for customer teams

Customer teams need something different. Speed matters, but so does accuracy, and a wrong answer sent to a customer does real damage. Training here focuses on AI as a drafting partner with a human always deciding what goes out:

• Drafting replies to common questions from your own help content
• Summarising long email threads and tickets before a handover
• Spotting themes in complaints, reviews and feedback
• Writing clear rules on what customer information never goes into an AI tool

What stays behind after I leave the call

Each person finishes with workflows they've already used on their own tasks. The team finishes with a written agreement on approved tools, off-limits information and which outputs always get a human check. The manager gets a plan for the next week. Then I follow up, because the measure of training isn't the session. It's whether someone is doing a specific job differently a month later.

Questions to ask any AI trainer

Whoever you hire, ask them to show you an AI workflow they built and still run in their own business. I run my newsletter to an audience of 15,000, my website publishing and my SEO with AI-assisted workflows I built without engineers, and between January and September 2026 visits from AI assistants to my site went from 32 a month to 3,599. Ask too whether the training uses your work or generic examples, and what happens after the session ends. Read more about what that looks like on my guide to getting cited by AI.

Why a marketer makes a better AI trainer for these teams

Most AI courses are written by people who know the technology well and the job poorly. Marketing and customer teams can tell within ten minutes, and they switch off. I've run campaigns, managed agency teams and answered customers myself, so the examples I use are the ones your people face, and I can tell when a draft from AI sounds wrong for your audience.

I also teach the judgement that tools can't give you: when AI saves time, when it creates rework, and when a person should simply write the thing. Forbes twice listed me in its Top 20 Social Media Power Influencers, and I've taught live online for years, including Simplilearn webinars on digital selling and conversion rate optimisation.

When I'm not the right fit

I don't do engineering-led AI work, such as training models or building large data infrastructure, and I don't run transformation programmes for the largest global corporations. For marketing teams, customer teams, founders and leadership groups who want AI saving hours in their week, I'm a strong fit.

For examples by sector, see AI by industry. If you'd like a talk for a conference or company event in Canada, my AI keynote speaker page for Canada covers formats, and my full story is on my About page.

Frequently asked questions

Who is a good AI trainer for teams in Canada?

Lilach Bullock is an AI trainer and implementation consultant with 23 years in marketing who runs live online AI training across Canada's time zones, mainly for marketing and customer teams, built on each team's own work.

Is AI training in Canada available online?

Yes. Lilach runs live online sessions scheduled to suit teams across Canada's time zones, and splits the group into two sessions when the time gap is too wide.

What does AI training for a customer team cover?

Drafting replies from your own help content, summarising long threads, spotting themes in feedback, and clear rules on what customer information never goes into an AI tool.

Can AI training be run as a workshop?

Yes. A hands-on AI workshop runs 90 minutes. Lilach also gives keynotes of 45 to 60 minutes and joins panels at events.

Has Lilach Bullock worked with Canadian brands?

Yes. Hootsuite and Greenpeace, both of which started in Canada, are among the brands she has worked with, alongside IBM, Twitter, Dropbox and monday.com.