Most agentic trading deployments are designed against an internal architecture, not against a regulator's framework. The gap between the two is rarely caught at design time and is expensive to close after a system is in production.
CSA Staff Notice 11-348 and CIRO GN-3300 outline expectations for AI-mediated trading; SEC and CFTC have moved on autonomous-system supervision; FCA and MAS are tracking. The challenge is not finding the rules — it is mapping a specific multi-agent architecture to the obligations actually triggered by what the system does.
This brief is written. It produces an obligations map, a gap register, and a remediation plan that engineering and compliance can both read. It does not represent the firm to a regulator; it equips the firm to do that work itself, with outside counsel where required.
