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Once a futuristic concept, artificial intelligence is now an everyday tool used in all business sectors, including financial advice. A Harvard University research study found that approximately 40% of American workers now report using AI technologies, with one in nine using it every workday for uses like enhancing productivity, performing data analysis, drafting communications, and streamlining workflows.<\/p>\n
The reality for investment advisory firms<\/a> is straightforward: The question is no longer whether to address AI usage, but how quickly a comprehensive policy can be crafted and implemented.<\/p>\n The widespread adoption of artificial intelligence tools has outpaced the development of governance frameworks, creating an unsustainable compliance gap.<\/p>\n Your team members are already using AI technologies<\/a>, whether officially sanctioned or not, making retrospective policy implementation increasingly challenging. Without explicit guidance, the use of such tools presents potential risks related to data privacy, intellectual property, and regulatory compliance\u2014areas of particular sensitivity in the financial advisory space.<\/p>\n What it is.<\/strong> An AI acceptable use policy helps team members understand when and how to appropriately leverage AI technologies within their professional responsibilities. Such a policy should provide clarity around:<\/p>\n \u25cf Which AI tools are authorized for use within the organization, including: large language models such as OpenAI\u2019s ChatGPT, Microsoft CoPilot, Anthropic\u2019s Claude, Perplexity, and more; AI Notetakers, such as Fireflies, Jump AI, Zoom AI, Microsoft CoPilot, Zocks, and more; AI marketing tools, such as Gamma, Opus, and others.<\/p>\n \u25cf Appropriate data that can be processed through AI platforms. Include: restrictions on client data such as personal identifiable information (PII); restrictions on team member data such as team member PII; restrictions on firm data such as investment portfolio holdings.<\/p>\n \u25cf Required security protocols when using approved AI technologies.<\/p>\n \u25cf Documentation requirements for AI-assisted work products, for instance when team members must document AI use for regulatory, compliance, or firm standard reasons.<\/p>\n \u25cf Training requirements before using specific AI tools.<\/p>\n \u25cf Human oversight expectations to verify AI results.<\/p>\n \u25cf Transparency requirements with clients regarding AI usage.<\/p>\n Prohibited activities. <\/strong>Equally important to outlining acceptable AI usage is explicitly defining prohibited activities. By establishing explicit prohibitions, a firm creates a definitive compliance perimeter that keeps well-intentioned team members from inadvertently creating regulatory exposure through improper AI usage. For investment advisory firms, these restrictions typically include:<\/p>\n \u25cf Prohibition against inputting client personally identifiable information (PII) into general-purpose AI tools.<\/p>\n \u25cf Restrictions on using AI to generate financial advice without qualified human oversight<\/a>, for example, generating financial advice that isn\u2019t reviewed by the advisor of record for a client.<\/p>\n \u25cf Prohibition against using AI to circumvent established compliance procedures, for example using a personal AI subscription for work purposes or using client information within a personal AI subscription.<\/p>\n \u25cf Ban on using unapproved or consumer-grade AI platforms for firm business, such as free AI models that may use data entered to train the model.<\/p>\n \u25cf Prohibition against using AI to impersonate clients or colleagues.<\/p>\n \u25cf Restrictions on allowing AI to make final decisions on investment allocations.<\/p>\n Responsible innovation.<\/strong> By establishing parameters now, firm leaders can shape AI adoption in alignment with their values and compliance requirements rather than attempting to retroactively constrain established practices.<\/p>\n This is especially crucial given that regulatory scrutiny of AI use in financial services is intensifying, with agencies signaling increased focus<\/a> on how firms govern these technologies.<\/p>\n Furthermore, an AI acceptable use policy demonstrates to regulators, clients, and team members your commitment to responsible innovation\u2014balancing technological advancement with appropriate risk management and client protection. We recommend using a technology consultant whose expertise can help transform this emerging challenge into a strategic advantage, ensuring your firm harnesses AI\u2019s benefits while minimizing associated risks.<\/p>\n \u00a0<\/p>\n