As AI adoption accelerates across wealth management, Canada's largest banks are raising the governance bar
TD Bank Group has formalised its approach to artificial intelligence governance, releasing an enterprise-wide Responsible AI Principles framework in a move that arrives as AI use across the financial advice sector reaches unprecedented levels and scrutiny over its risks intensifies.
The Canadian big six bank's seven-commitment framework addresses how AI is developed, deployed and monitored across TD's operations, covering transparency and explainability, data use and privacy, fairness, accountability, reliability and security. Every AI use case introduced at TD must now align with these principles and undergo assessments for explainability, fairness and performance before it goes live.
A May 2026 national survey of 201 financial advisors from Edward Jones found that 82 per cent of advisors are already using AI tools in their practice, and 69 per cent say AI has had a positive impact on the industry. That level of saturation brings with it genuine governance questions — ones that TD is now publicly committing to answer.
Why governance matters now
"The future of banking will increasingly be powered by AI," said Sumee Seetharaman, Head of Artificial Intelligence and Machine Learning Practice at TD. "Our Responsible AI Principles are designed to help the Bank scale that technology responsibly, with the governance, oversight and transparency needed to maintain the trust our clients place in us every day."
That trust question cuts directly to the advisor-client relationship. A 2026 TD AI Insights Report found that Canadians are most comfortable with AI for routine, time-sensitive banking tasks but most prefer human support when financial decisions carry real consequences. Seventy-one per cent said they place greater confidence in human intelligence over AI financial advice overall.
That gap between human trust and AI trust represents both a challenge and an opportunity for advisory firms and it underscores why the frameworks financial institutions put around AI matter as much to clients as the technology itself.
TD's Responsible AI Principles are embedded throughout the lifecycle of AI systems from initial design and development through deployment and ongoing monitoring and are operationalised by TD's specialised Trustworthy AI team, a group of scientists focused on advancing the safe and secure use of the technology. The bank is also incorporating the principles into employee education programs, helping colleagues understand expectations around responsible AI use.
Ajai Bambawale, Chief Risk Officer at TD, described the framework's dual purpose: "Trust has always been the foundation of banking, and that won't change as AI becomes more deeply embedded in our industry. Our Responsible AI Principles provide a clear framework for adopting these technologies responsibly, enabling innovation while requiring transparency, accountability and trust at every step."
The framework applies concrete controls to real-world AI deployments. In colleague-facing virtual assistants, for example, TD applies controls including retrieval grounding, human oversight and continuous monitoring to help mitigate the risk of inaccurate, unsupported or inappropriate AI-generated guidance.
