Back to Articles

Electric Mindset - Episode 4: Gen AI in Canadian Banking

Electric Mindset - Episode 4: Gen AI in Canadian Banking
[
Podcast
]
Nick Dyment, Chief of Staff & Technology Director | Lauren Bergstrom, Advisory Director
Published:

In episode 004 of Electric Mindset, Chief of Staff and host Nick Dyment talks with Lauren Bergstrom, Director in our Advisory Practice, about digital transformation and generative AI in Canadian banks.

Lauren has led large-scale change at some of Canada’s biggest financial institutions. Her approach? Start with people. In this episode, she shares the lessons, challenges, and wins that turned complex programs into real outcomes.

Nick Dyment and Lauren Bergstrom

Nick and Lauren cut through the noise to define what transformation really means today. It’s not just adopting new tech. It’s making it stick. They dig into why readiness and change management often matter more than the tools, and why lasting innovation always starts with people.

They also dive into:

  • How Gen AI is reshaping banking operations and compliance
  • What transformation looks like in regulated, high-stakes environments
  • Lessons learned from years of delivering change programs

Whether you're deep in tech, driving strategy, or just curious about how transformation actually works, this conversation offers clear insights, real examples, and practical takeaways from the field.

Now streaming on YouTube, Spotify and Apple Podcasts

Missed Episodes 1 - 3 ? Catch up here.

Episode 1: AI or Bust

Episode 2: Legacy Modernization

Episode 3: The Future of Work

Got a complex challenge?
Let’s solve it – together, and for real
Frequently Asked Questions

Relevant Insights

View All
#
[
Blog
]
How an AI native software development lifecycle compresses delivery timelines

A clear look at how an AI native SDLC uses AI software development practices across definition, design, build, and test to cut delivery time while keeping human review in place.

[
Blog
]
How to decide where AI agents fit and where conventional software wins

A practical guide to choosing AI agents, robotic process automation, or conventional software based on task ambiguity, system maturity, and governance needs.

[
Blog
]
How a semantic layer makes enterprise data usable by AI

A practical explanation of what a semantic layer does, how semantic layer architecture supports AI, and how teams can build trusted meaning over enterprise data.

[
Blog
]
How to ground enterprise LLMs with knowledge graphs

A practical guide to retrieval augmented generation and GraphRAG that explains when knowledge graphs improve accuracy, traceability, and control in enterprise AI.