The three real use cases
- Internal knowledge retrieval for advisors and support staff.
- Code assistance for engineering teams, with strict data-loss-prevention rules.
- Meeting summarization and CRM enrichment, with human review before customer-facing output.
What is not happening
Customer-facing chat agents remain rare and heavily supervised. The regulatory posture, OSFI expectations, and reputational risk make this the last frontier, not the first.
The governance model
A central AI risk committee, a model registry, and a mandatory review for any customer-facing deployment. If your resume does not speak this language, you will not clear a bank interview.
Where the jobs are
Risk, model governance, MLOps, and prompt engineering. Data science headcount is flat; AI operations headcount is up sharply.