AI at Work Training
AI Training for Research, Insights and Marketing Teams
BrandSpark International, a Toronto market research firm founded in 2001, trains research, insights and marketing teams to use AI in their daily work, from analysis and reporting to writing and planning. Every program is built from the AI systems our own researchers run on live client studies, and it works with the AI platform your organization already licenses, whether that is ChatGPT, Claude, Microsoft Copilot or Gemini.
Who BrandSpark AI Training Is For
Our AI at Work programs are designed for insight teams, market research departments, marketing teams and institutional research offices. Recent and current programs include work for a global powersports manufacturer, an Ontario college and a national technology brand.
Our researchers use these systems every week on client studies, from analysis to reporting. The training teaches the same habits, with the standards and checks that keep AI output reliable enough for client work.
Programs
BrandSpark AI Training Programs
Applied AI Foundations
The three foundations that make AI useful for white-collar work: standards and guardrails, memory systems, and agents.
1 to 1.5 hours, virtual or in person, for the whole team
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AI Working Sessions
Hands-on sessions where a leadership, insights or marketing team applies AI to its own workflows and business problems.
Half-day sessions, in person or virtual, single or in a series
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Facilitators
Who Delivers the Training
Scott Boyer
Executive Vice President and Partner
Scott Boyer heads BrandSpark's research and consulting practice and leads its largest client accounts, with 25 years at the firm. He completed professional research coursework, including advanced analytics, through the Marketing Research and Intelligence Association (MRIA). Scott designed BrandSpark's AI-assisted research systems and leads its AI training programs for client teams.
Denis Hancock
Vice President, Strategy
Denis Hancock leads BrandSpark's trust and strategy work and has 15 years at the firm, after earlier work in research and strategy consulting. He owns BrandSpark's internal research design and analysis curriculum, facilitates client workshops, and speaks on brand trust and insight storytelling.
How a BrandSpark AI Training Program Runs
- A kickoff maps the team's current workflows and picks the ones AI should change first.
- Applied AI Foundations gives everyone the same base: standards, memory and agents.
- AI Working Sessions apply those foundations to the team's own tasks, with homework on participants' real work between sessions.
- Each session closes with agreed owners and next steps, so the work continues after the training.
AI Training: Frequently Asked Questions
What does AI training for a market research team cover?
BrandSpark AI training starts with Applied AI Foundations: standards and guardrails, memory systems, and agents. AI Working Sessions then apply those foundations to the team's own workflows and business problems.
Is BrandSpark AI training specific to ChatGPT or Claude?
No. The training works in ChatGPT, Claude, Microsoft Copilot and Gemini, and runs in the platform your organization already licenses.
Who delivers BrandSpark AI training?
Scott Boyer (Executive Vice President and Partner) and Denis Hancock (Vice President, Strategy), senior BrandSpark researchers who use these systems on client studies every week.
Does BrandSpark offer AI training outside Toronto?
Yes. BrandSpark delivers AI training virtually and in person across Canada and the United States.
Plan an AI Training Program for Your Team
Tell us how your team works today and which tasks you want AI to take on first.
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