AI Done Right: Deciding Before You Dive In (Virtual)

Button Lunch n’ Learn Series, Volume 2

September 22, 2025

Thursday, September 25

12–1 pm PT | 3–4 pm ET | 2–3 pm CT | 1–2 pm MT | 11 am–12 pm YT

Register here →

In our next Lunch n’ Learn, we’ll tackle a big question: “Everyone’s asking us to use AI… but what problem are we trying to solve, and what’s the right tool for it?”

In 1966, Maslow famously said, "If the only tool you have is a hammer, it makes sense to treat everything as if it were a nail." Today, Generative AI is that hammer, and its accessibility, integration, and adoption are accelerating at a rapid pace.

But what happens when we're too quick to pick it up as our only tool?

AI can be transformative, but it's becoming increasingly overused, applied to the wrong problems, and deployed without a full understanding of its implications… especially in public sector work.

So, how do we know when and where to effectively apply AI?

Button is excited to facilitate this important discussion with product owners, directors, managers, and anyone being told to "use AI to be more efficient." We invite you to join us as we unpack:

  • How to assess whether AI is truly the right tool for the job

  • Common mistakes and misconceptions about AI's capabilities

  • Practical frameworks for responsible and effective AI adoption

You'll walk away with:

  • A clear decision-making process for evaluating AI use cases

  • Real-world examples of AI done right (and wrong)

  • A sharper sense of when human expertise should lead the way

Your host, Elliott Lee, PhD, brings together data, design, and behavioural science to improve services and customer experiences in complex systems and wicked problems.

Log on, bring your lunch, your boldest AI questions, and get ready to cut through the hype!

We’ll be keeping this session light on slides and heavy on thinking.

Once we wrap up, you’ll receive the slide deck and a way to reach Elliott directly if you'd like to continue the discussion or share reflections from your own work.

Curious what a Canadian-first tech stack could look like for you?

We’ll happily walk you through three smart swaps that improve resilience, and reduce exposure without breaking your workflows.

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