Accelerating AI in Risk and Compliance: A Board-Level Imperative for Canadian Banks

AI in risk and compliance has moved beyond experimentation. For Canadian banks operating under rising regulatory scrutiny - OSFI Guidelines B-13 and E-23, Québec Law 25, and the approaching rollout of open banking - it is fast becoming the defining factor between institutions that absorb risk and those that anticipate and contain it. Yet most banks are getting it wrong: building models, running pilots, and showcasing innovation without the foundations in place to scale AI safely or deliver consistent outcomes.

The gap between investment and impact is real: fragmented data environments, siloed ownership, and governance treated as an afterthought keep AI confined to narrow pilots while false positives stay high, investigations move slowly, and manual workloads persist. Closing that gap requires a deliberate shift from AI as an isolated capability to AI as a governed, integrated core control layer measured against operational outcomes. This view point sets out how Canadian banks can make that shift, drawing on Infosys’s global delivery experience and a proven framework across six critical foundations: board-level ownership, integrated risk intelligence, responsible AI by design, regulatory readiness, a scalable operating model, and security as a foundation. Read the full view point to explore the Infosys framework and the CXO action plan for scaling AI in risk and compliance.