The AI conversation in financial services is moving fast, and for good reason. Institutions of every size are exploring where the technology creates real value for customers, and the full potential of what’s possible is still coming into view.
Financial institutions are finding real value in AI across customer experience, productivity, and operations. One application that’s gotten less attention: using it to improve how products get discovered and prioritized.
According to KPMG Canada’s GenAI Business Survey, over 90% of Canadian financial services leaders now view generative AI as critical to competitive advantage. Yet much of the current investment is concentrated in customer-facing applications like chatbots, personalization engines, and lending systems. These are valuable, but they’re also the most visible layer of a much deeper opportunity.
The traditional product development process at most financial institutions follows a familiar path. An idea surfaces, gains internal momentum, and eventually gets tested through focus groups, one-on-one interviews, and customer surveys. It’s a process that works, but one that hasn’t yet had a catalyst powerful enough to accelerate it. Often, by the time a clear direction emerges, weeks or months have passed. For institutions trying to move faster without cutting corners, that cycle time is one of the most stubborn constraints in the business.
This is where AI is starting to make a genuine difference.
Synthetic testing platforms, trained on rich customer segmentation data, can dramatically compress the stages of concept ideation and evaluation. At Beem, piloting this approach has resulted in significant productivity gains, going from what used to take four weeks down to four hours.
A product team can take ten early-stage ideas, run them through a structured evaluation against customer personas and competitive context, and surface the two or three worth pursuing before significant time or budget is committed. The scoring mechanism assesses desirability, how well a concept resonates with target customers, and viability.
The speed improvement matters, but the more interesting outcome is what this kind of rigour reveals about organizational decision-making.
A disciplined product process is built on objectivity, and grounded in real customer feedback rather than internal momentum or advocacy. What AI-powered evaluation adds is structure and speed to that foundation. Concepts are scored against customer segmentation data before significant time or budget is committed, so the strongest ideas surface faster, and the ones that don’t resonate get filtered earlier.
None of this eliminates the need for human judgment, and it shouldn’t. Any AI model requires ongoing training, and early outputs require scrutiny from people who know the domain well enough to know what’s useful and what isn’t. AI amplifies critical thinking; it doesn’t replace it. The value of these tools compounds over time, but only if the people using them have the subject matter expertise to interrogate what comes back. As that expertise compounds, so does the scope of what becomes possible. The horizon shifts from how products are discovered, to how they’re built, to how entire member relationships are understood and served.
The tools themselves aren’t the differentiator. Every organization will eventually have access to the same platforms, models, and infrastructure. What separates the leaders will be the application.
Credit unions typically haven’t been able to compete head-to-head with larger, well-funded institutions, but there is an opportunity now – a smaller size demands focus, and focus is a strategic advantage. With a modern tech stack unconstrained by legacy infrastructure, institutions like Beem have an opportunity to think and act differently. As the KPMG survey notes, 91% of leaders agree that a strong culture of experimentation is essential for unlocking AI’s full potential. The organizations that will win are the ones that aren’t afraid to take risks, change their model, and change their pace.
The world is changing fast, and AI is accelerating that change. Faster product validation and more rigorous prioritization are a starting point, but the real opportunity is what happens when that same discipline gets applied to everything: how a financial institution understands its customers, makes decisions, and delivers on the promise of actually being on their side.
Oscar Roque is the Chief Product & Innovation Officer at Beem Credit Union. A seasoned financial services leader with more than 20 years of experience, he has held senior roles at Interac and BMO, specializing in innovation, strategy, and business transformation. Roque holds a Bachelor of Science in Computer Engineering from Queen’s University and an MBA from the Rotman School of Management.
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