Live Webinar

Between the Insurance Practitioner and the Regulator: Governing AI Risk in Canadian Insurance

September 15th, 2026 | 11 am ET

Artificial intelligence (AI) is moving deeper into underwriting, pricing, reserving, and capital, and the harder question for Canadian insurers has become how to govern it well enough to satisfy boards, auditors, and supervisors at once. This one-hour panel brings together Bruce Langstroth, a frontline insurance supervisor from OSFI and Mukhbir Singh Rai from Canada Mortgage and Housing Corporation (CMHC) for a candid conversation about where regulatory risk frameworks stand today and where they are heading.

Hosted and moderated by Max Samadov, Head of Risk Advisory - Americas (SAS), the discussion covers the expectations now shaping model and enterprise risk management, including E-23 and the wider supervisory agenda; the emerging risks AI introduces and amplifies; the practical steps insurers can take now to prepare; and the priorities regulators expect to tackle next. It is built for actuaries and risk practitioners who want a clear, hype-free read on what "good" looks like as supervision catches up with the technology.

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About the experts

Bruce Langstroth

Managing Director, OSFI

Bruce is currently a Managing Director at OSFI where he is the lead supervisor for one of Canada’s larger insurers. Bruce's career has spanned more than 35 years and has primarily been focussed on valuation, financial reporting and risk management. He has served in consulting, company, and regulatory roles and most recently was employed by one of the audit firms where he was involved in insurer audits and consulting on IFRS 17.

Bruce is an actuary by training and has been an active contributor to the profession.

Mukhbir Singh Rai

Director of Model Risk Management, Canada Mortgage and Housing Corporation (CMHC)

Mukhbir Singh is Director of Model Risk Management at the Canada Mortgage and Housing Corporation (CMHC), where he oversees the governance, validation, and strategic oversight of the organization’s quantitative models. With more than 15 years of progressive experience in financial and enterprise risk, he has played a central role in shaping CMHC’s model risk framework and advancing the corporation’s analytical capabilities.

Prior to leading Model Risk Management, Mukhbir held senior roles across CMHC’s financial risk, capital markets, and quantitative modelling functions. He led the development of several high-impact capital and stress-testing models and played a key role in transforming CMHC’s ORSA and stress testing methodologies. His cross-functional experience gives him a deep understanding of the full model lifecycle, from design and development to oversight and executive-level decision support.

Mukhbir holds a B.Sc. in Actuarial Mathematics, an M.Sc. in Finance, and an MBA from Cornell University. He brings a practical, forward-looking perspective to model risk management, emphasizing transparency, a strong risk culture, and the responsible use of data and analytics in decision-making.

Max Samadov

Head of Risk Advisory – Americas, SAS

Max Samadov is based in New York, where he currently leads the risk technical sales team for North America. Max brings extensive expertise in risk and regulatory compliance, demonstrated through successful leadership in project implementations such as Basel 2/3, IFRS 9/17, CECL and CCAR. Prior to joining SAS, Max held several roles at IBM Watson Financial Services, where he was responsible for the business development of risk solutions for the Canadian and Eastern European markets. Before IBM, Max worked as a product manager and a financial engineer at the Toronto-based risk management vendor Algorithmics. Max holds master’s degrees in data analytics from Cornell University, public relations (Ball State University), as well as bachelor's degree in economics from Donetsk National University, and also holds FRM certification from GARP.

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