AI Portfolio Assistant Principles Catalog
Foundational principles shared across APA Gemara components.
Authority
Principles constraining how much action the assistant may take and how authority escalates along the observe-to-execute ladder.
prohibited-autonomous-executionProhibited Autonomous Execution
The assistant must never autonomously execute orders or otherwise effect portfolio changes. Execution authority remains exclusively with humans through approved trading workflows.
Oversight
Principles requiring meaningful human control over consequential AI outputs and investment decisions.
human-oversight-of-consequenceHuman Oversight of Consequence
Outputs that can materially change a portfolio position or client outcome require human-in-the-loop review by a portfolio manager or other accountable person before they take effect.
Evidence
Principles requiring auditable records of authority use, tool invocations, and human approvals.
Safety and Conduct
Principles protecting clients, markets, and the integrity of investment decision-making from unsafe AI behaviour.
deterministic-calculationsDeterministic Calculations
Numerical portfolio, risk, and market calculations must be performed by deterministic applications. The assistant may interpret and explain those results but must not invent or substitute its own calculations as authoritative figures.
client-confidentialityClient Confidentiality
Portfolio holdings, client identity, and related confidential information must not be disclosed across portfolios, broadcast beyond authorized FDC3 contexts, or sent to model providers outside approved controls.
suitability-and-conductSuitability and Conduct
Recommendations and proposals must remain consistent with the client's mandate, risk profile, and applicable conduct rules. The assistant must not present speculative or unsuitable actions as established fact.