Beyond Buzz: AI Use-Cases in Banking & Payments

Identifying high-impact AI use cases in finance is the critical next step for Canadian institutions moving beyond the initial hype of generative models. This panel session cuts through the buzzwords to examine where artificial intelligence is actually delivering measurable results in banking, payments, and wealth management. A standout insight from the discussion highlights the shift from basic process automation toward agentic AI—autonomous systems capable of making complex decisions in real-time. This evolution is particularly visible in liquidity management, where AI agents are now being tested to prioritize wholesale payments and optimize cash flow buffers with a level of precision that manual systems simply cannot match.

The technical deep dive explores how high-impact AI use cases in finance are transforming the risk landscape. Panelists discuss the integration of predictive analytics into underwriting and fraud detection, moving interdiction efforts to the top of the funnel to stop identity-based scams before they occur. The session also addresses the divide between large banks and smaller firms; while incumbents benefit from massive internal data sets and dedicated PhD teams, smaller agile players are utilizing cloud-native “point solutions” to deploy AI-driven services faster.

To successfully implement high-impact AI use cases in finance, organizations must prioritize data quality and ethical guardrails. The conversation emphasizes that AI does not need to be perfect to be valuable; it merely needs to outperform legacy manual processes while remaining transparent. From personalizing customer rewards to automating corporate accounts payable, these applications are reshaping the Canadian financial ecosystem by focusing on ROI and user adoption over theoretical potential. By grounding high-impact AI use cases in finance in practical business outcomes, leaders can ensure their technology strategy drives genuine transformation.

Attendees will leave with a clear understanding of:

• The distinction between overhyped generative tools and underappreciated agentic AI decisioning.
• How to balance institutional risk tolerance with the need for rapid AI implementation.
• Real-world applications of AI in automating liquidity management and fraud prevention.

Watch the full panel to discover how to identify and scale high-impact AI use cases in finance for your organization.