{"id":8657,"date":"2026-09-02T08:10:17","date_gmt":"2026-09-02T08:10:17","guid":{"rendered":"https:\/\/launchlemonade.app\/?p=8657"},"modified":"2026-09-06T17:01:58","modified_gmt":"2026-09-06T17:01:58","slug":"ai-use-policy-for-your-financial-advisory-firm-2026-guide","status":"publish","type":"post","link":"https:\/\/launchlemonade.app\/blog\/ai-use-policy-for-your-financial-advisory-firm-2026-guide\/","title":{"rendered":"How to Write an AI Use Policy for Your Financial Advisory Firm"},"content":{"rendered":"<h1 class=\"text-2xl font-bold mt-4 mb-2\">How to Write an AI Use Policy for Your Financial Advisory Firm<\/h1>\n<section id=\"quick-answer\">\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Quick Answer<\/h3>\n<p class=\"my-2\">An\u00a0<strong class=\"font-bold\">AI use policy for your financial advisory firm<\/strong>\u00a0sets clear rules for approved tools, client data, human review, and records.<br \/>\nIt should treat AI as a supervised business tool, not an unsupervised shortcut.<br \/>\nMost importantly, the policy must fit your firm\u2019s actual services, risks, and existing compliance duties.<\/p>\n<\/section>\n<section id=\"ai-summary\">\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">What This Guide Covers<\/h3>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">The purpose of an AI policy for an advisory firm<\/li>\n<li class=\"pl-2\">The clauses your policy should include<\/li>\n<li class=\"pl-2\">A practical method for ranking AI use cases by risk<\/li>\n<li class=\"pl-2\">Rules for client data, prompts, outputs, and vendors<\/li>\n<li class=\"pl-2\">Human review and recordkeeping controls<\/li>\n<li class=\"pl-2\">Staff training, monitoring, and policy updates<\/li>\n<li class=\"pl-2\">Ten useful AI, LLM, and governance resources<\/li>\n<\/ul>\n<\/section>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">What Is an AI Use Policy for a Financial Advisory Firm?<\/h2>\n<p class=\"my-2\">An AI use policy is a written set of rules that explains how your firm can use artificial intelligence safely. Specifically, it sets boundaries before staff begin using AI for research, drafting, client support, or operations.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Why Is a Written Policy Important?<\/h3>\n<p class=\"my-2\">A financial adviser AI policy turns scattered tool use into a managed process. Consequently, staff know which tools are approved, what data they may use, and when a human must step in.<\/p>\n<p class=\"my-2\">Financial firms already have duties around supervision, privacy, communications, cybersecurity, and recordkeeping. Therefore, AI does not sit outside your compliance program just because the technology is new.<\/p>\n<p class=\"my-2\">The\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/www.tafttechlaw.com\/2026\/04\/ai-in-the-crosshairs-new-guidance-from-finra-and-treasury\/\" target=\"_blank\" rel=\"noopener noreferrer\">FINRA guidance on generative AI<\/a>\u00a0reinforces a simple idea: existing obligations still apply when firms use generative AI.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">What Problems Does It Prevent?<\/h3>\n<p class=\"my-2\">Without clear rules, staff may use public tools for client work without telling anyone. This is often called shadow AI.<\/p>\n<p class=\"my-2\">A good policy helps prevent:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Client information entering an unapproved system<\/li>\n<li class=\"pl-2\">Inaccurate AI-written communications reaching a client<\/li>\n<li class=\"pl-2\">Unsupported claims about AI in marketing materials<\/li>\n<li class=\"pl-2\">Unclear ownership when an AI workflow fails<\/li>\n<li class=\"pl-2\">Missing records of how a decision or output was created<\/li>\n<\/ul>\n<p class=\"my-2 ll-suggested-visual-hidden\"><em class=\"italic\">Suggested Visual: A simple diagram showing \u201cUnapproved AI Use\u201d moving toward risks, and \u201cApproved AI Use\u201d moving through review, controls, and documentation.<\/em><\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Who Should Own the Policy?<\/h3>\n<p class=\"my-2\">The Chief Compliance Officer should normally own the policy. However, ownership works best when a small cross-functional group supports it.<\/p>\n<p class=\"my-2\">Include leaders from:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Compliance<\/li>\n<li class=\"pl-2\">Advisory services<\/li>\n<li class=\"pl-2\">Operations<\/li>\n<li class=\"pl-2\">Information security<\/li>\n<li class=\"pl-2\">Technology<\/li>\n<li class=\"pl-2\">Marketing, where AI supports communications<\/li>\n<\/ul>\n<p class=\"my-2\">This group does not need to meet every week. Instead, it should approve tools, review higher-risk use cases, and assess incidents or material changes.<\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">What Should Your AI Governance Policy for Advisers Cover?<\/h2>\n<p class=\"my-2\">A strong AI governance policy for advisers covers the full lifecycle of a tool. In other words, it explains how the firm selects, tests, uses, monitors, and retires AI systems.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Start With Scope and Definitions<\/h3>\n<p class=\"my-2\">First, state who and what the policy covers. This should include employees, contractors, temporary staff, and third parties that use AI for the firm.<\/p>\n<p class=\"my-2\">Define plain-language terms, including:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\"><strong class=\"font-bold\">AI system:<\/strong>\u00a0Software that generates, predicts, classifies, or recommends content.<\/li>\n<li class=\"pl-2\"><strong class=\"font-bold\">Generative AI:<\/strong>\u00a0AI that creates text, images, code, or other material from prompts.<\/li>\n<li class=\"pl-2\"><strong class=\"font-bold\">Large language model, or LLM:<\/strong>\u00a0An AI model trained to understand and generate language.<\/li>\n<li class=\"pl-2\"><strong class=\"font-bold\">Prompt:<\/strong>\u00a0The instruction or information a user gives an AI tool.<\/li>\n<li class=\"pl-2\"><strong class=\"font-bold\">High-risk use case:<\/strong>\u00a0AI use that could affect clients, advice, trades, records, or regulatory duties.<\/li>\n<\/ul>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Include Clear Roles and Approval Rights<\/h3>\n<p class=\"my-2\">Next, name the people who can approve an AI tool and the people who can use it. A policy without named roles can become a polite suggestion.<\/p>\n<div class=\"my-2 overflow-x-auto max-w-full\">\n<div style=\"background-color: #111827; border: 1px solid #374151; border-radius: 12px; overflow-x: auto; max-width: 100%; margin: 16px 0;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background-color: rgba(255, 255, 255, 0.08); border-bottom: 2px solid #4B5563;\">\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Role<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Core Responsibility<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff;\">Example Decision<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Chief Compliance Officer<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Owns policy and compliance review<\/td>\n<td style=\"padding: 12px 16px; color: #34d399; font-weight: 500;\">Approves a high-risk client communication workflow<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Information Security Lead<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Reviews data, access, and vendor controls<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Assesses authentication and data transfer risks<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Business Owner<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Defines the use case and expected value<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Requests AI support for meeting-note drafts<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Human Reviewer<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Checks AI output before external use<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Reviews suitability and disclosures in a client draft<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Staff User<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Follows approved processes<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Uses an approved tool for permitted research tasks<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Set a Default Rule for New Tools<\/h3>\n<p class=\"my-2\">Your default position should be simple: staff may not use new AI tools for firm work until the firm approves them. This protects the firm while still allowing useful experimentation.<\/p>\n<p class=\"my-2\">The\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener noreferrer\">NIST AI Risk Management Framework<\/a>\u00a0offers a useful structure for governance conversations. It centers on governing, mapping, measuring, and managing AI risks.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">State What the Policy Does Not Allow<\/h3>\n<p class=\"my-2\">Be direct about prohibited conduct. Consequently, staff have fewer grey areas when deadlines are tight.<\/p>\n<p class=\"my-2\">Your policy can prohibit:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Uploading restricted client data into unapproved AI tools<\/li>\n<li class=\"pl-2\">Treating AI output as personalised investment advice without professional review<\/li>\n<li class=\"pl-2\">Using AI to make unsupervised trading or account changes<\/li>\n<li class=\"pl-2\">Allowing AI to send external communications without approval<\/li>\n<li class=\"pl-2\">Making claims that overstate the firm\u2019s AI capabilities<\/li>\n<li class=\"pl-2\">Bypassing recordkeeping, disclosure, or supervisory processes<\/li>\n<\/ul>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Do You Classify AI Use Cases by Risk?<\/h2>\n<p class=\"my-2\">An\u00a0<strong class=\"font-bold\">AI use policy for your financial advisory firm<\/strong>\u00a0should rank uses by their potential impact. As a result, the firm can apply stronger controls where mistakes may cause real harm.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Which Uses Are Usually Lower Risk?<\/h3>\n<p class=\"my-2\">Lower-risk uses often support internal productivity. Even so, they still need approved tools and sensible data rules.<\/p>\n<p class=\"my-2\">Examples may include:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Turning a generic meeting agenda into a checklist<\/li>\n<li class=\"pl-2\">Summarising public research materials<\/li>\n<li class=\"pl-2\">Improving grammar in internal documents<\/li>\n<li class=\"pl-2\">Creating training outlines from non-confidential material<\/li>\n<li class=\"pl-2\">Drafting internal process notes<\/li>\n<\/ul>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Which Uses Need More Control?<\/h3>\n<p class=\"my-2\">Higher-risk uses touch clients, regulated communications, financial decisions, or sensitive information. Therefore, they should require formal approval and human review.<\/p>\n<div class=\"my-2 overflow-x-auto max-w-full\">\n<div style=\"background-color: #111827; border: 1px solid #374151; border-radius: 12px; overflow-x: auto; max-width: 100%; margin: 16px 0;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background-color: rgba(255, 255, 255, 0.08); border-bottom: 2px solid #4B5563;\">\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">AI Use Case<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Typical Risk Level<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff;\">Key Control<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Internal meeting agenda draft<\/td>\n<td style=\"padding: 12px 16px; color: #f87171; border-right: 1px solid #1F2937;\">Low<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Use approved tool and non-sensitive inputs<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Public-market research summary<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Medium<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Verify facts and retain relevant support<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Client email first draft<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Medium<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Adviser or compliance review before sending<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Marketing copy<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Medium<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Marketing and compliance approval<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Portfolio recommendation support<\/td>\n<td style=\"padding: 12px 16px; color: #34d399; font-weight: 500; border-right: 1px solid #1F2937;\">High<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Qualified professional review and documented rationale<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Trade, transfer, or client-record action<\/td>\n<td style=\"padding: 12px 16px; color: #34d399; font-weight: 500; border-right: 1px solid #1F2937;\">High<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Human approval before execution<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Client onboarding workflow<\/td>\n<td style=\"padding: 12px 16px; color: #34d399; font-weight: 500; border-right: 1px solid #1F2937;\">High<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Privacy, security, and compliance review<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">What Questions Should You Ask?<\/h3>\n<p class=\"my-2\">Before approving a use case, ask a short set of repeatable questions:<\/p>\n<ol class=\"list-decimal list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">What business problem does this solve?<\/li>\n<li class=\"pl-2\">What data enters the tool?<\/li>\n<li class=\"pl-2\">Could the output affect a client, account, recommendation, or trade?<\/li>\n<li class=\"pl-2\">Who checks the output?<\/li>\n<li class=\"pl-2\">What records must the firm retain?<\/li>\n<li class=\"pl-2\">What happens if the tool gives a wrong answer?<\/li>\n<li class=\"pl-2\">Can the firm stop or reverse the workflow?<\/li>\n<\/ol>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Why Does Risk Classification Matter?<\/h3>\n<p class=\"my-2\">Risk classification avoids a one-size-fits-all policy. For instance, an internal writing assistant needs different controls than a workflow that creates client-ready content.<\/p>\n<p class=\"my-2\">The\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/www.oecd.org\/en\/publications\/oecd-due-diligence-guidance-for-responsible-ai_41671712-en.html\" target=\"_blank\" rel=\"noopener noreferrer\">OECD\u2019s responsible AI due diligence guidance<\/a>\u00a0also supports a lifecycle approach. Firms should find risks, reduce them, track results, and communicate actions.<\/p>\n<p class=\"my-2 ll-suggested-visual-hidden\"><em class=\"italic\">Suggested Visual: A three-level risk pyramid showing low-risk internal drafting, medium-risk content, and high-risk client or account activities.<\/em><\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Do You Protect Client Data in a Responsible AI Policy?<\/h2>\n<p class=\"my-2\">A responsible AI policy starts with strict data rules. Put simply, your firm should know what enters a model, where it goes, who can access it, and how long it remains available.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Create Data Categories Staff Can Use<\/h3>\n<p class=\"my-2\">Avoid vague directions like \u201cbe careful with confidential information.\u201d Instead, use categories that staff can apply in seconds.<\/p>\n<div class=\"my-2 overflow-x-auto max-w-full\">\n<div style=\"background-color: #111827; border: 1px solid #374151; border-radius: 12px; overflow-x: auto; max-width: 100%; margin: 16px 0;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background-color: rgba(255, 255, 255, 0.08); border-bottom: 2px solid #4B5563;\">\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Data Category<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Examples<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff;\">Policy Rule<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Public data<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Public filings, approved website copy, published market reports<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Permitted in approved tools<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Internal data<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Non-client procedures, approved training content<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Permitted only in approved tools<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Confidential firm data<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Strategy, pricing, internal financials, security details<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Use only with explicit approval<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Client personal data<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Names, addresses, account details, tax records<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Restricted unless approved safeguards exist<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Highly sensitive data<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Login credentials, bank details, identity documents, health information<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Never enter without formal, documented approval<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Review the Vendor Before Approval<\/h3>\n<p class=\"my-2\">Your policy should require a vendor review before staff use a new AI service. Moreover, do not assume a familiar brand automatically meets your firm\u2019s requirements.<\/p>\n<p class=\"my-2\">Review:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Data ownership and training terms<\/li>\n<li class=\"pl-2\">Data retention and deletion settings<\/li>\n<li class=\"pl-2\">Encryption and access controls<\/li>\n<li class=\"pl-2\">Subprocessors and data location<\/li>\n<li class=\"pl-2\">Audit logs and administrative controls<\/li>\n<li class=\"pl-2\">Contract terms and incident support<\/li>\n<\/ul>\n<p class=\"my-2\">For example,\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/openai.com\/enterprise-privacy\/\" target=\"_blank\" rel=\"noopener noreferrer\">OpenAI\u2019s enterprise privacy information<\/a>\u00a0describes business-data controls, including ownership and default model-training practices. Still, your firm must review the specific product, account type, settings, and contract it plans to use.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Use De-Identification Carefully<\/h3>\n<p class=\"my-2\">Removing names can reduce risk, but it may not remove all identifying details. Therefore, train staff not to enter combinations of facts that could reveal a client\u2019s identity.<\/p>\n<p class=\"my-2\">For example, a prompt about a \u201c72-year-old client in a named town with a rare business sale\u201d may remain identifiable. Generalise details whenever possible.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Keep Credentials Out of Prompts<\/h3>\n<p class=\"my-2\">Never place passwords, API keys, account logins, security answers, or authentication codes into an AI prompt. This rule should be absolute and easy to remember.<\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Do You Set Human Review and Supervision Rules?<\/h2>\n<p class=\"my-2\">Human review is the heart of a defensible AI use policy for your financial advisory firm. AI can speed up drafts and research, but it cannot replace accountable professional judgment.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Define When Review Is Required<\/h3>\n<p class=\"my-2\">Your policy should state that an authorised person must review any AI output before it becomes client-facing, advice-related, marketing-related, or operationally binding.<\/p>\n<p class=\"my-2\">Reviewers should check:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Accuracy and completeness<\/li>\n<li class=\"pl-2\">Calculations and supporting facts<\/li>\n<li class=\"pl-2\">Suitability and professional judgment<\/li>\n<li class=\"pl-2\">Required disclosures<\/li>\n<li class=\"pl-2\">Tone and client-specific context<\/li>\n<li class=\"pl-2\">Claims about performance, products, or AI capability<\/li>\n<\/ul>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Make the Reviewer Accountable<\/h3>\n<p class=\"my-2\">A reviewer should do more than skim a response. Instead, they should be able to explain why the final output is accurate, suitable, and approved.<\/p>\n<p class=\"my-2\">This protects both the client and the firm. It also makes it easier to show a reasonable supervision process later.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Treat AI Output as a Draft<\/h3>\n<p class=\"my-2\">Use clear wording in the policy: AI-generated output is support material, not final advice or final fact. Staff must verify important claims against trusted source material.<\/p>\n<p class=\"my-2\">The\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/www.cftc.gov\/media\/10626\/TAC_AIReport050224\/download\" target=\"_blank\" rel=\"noopener noreferrer\">CFTC report on artificial intelligence in financial markets<\/a>\u00a0is useful background for teams assessing operational, market, and governance risks in financial services.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Use Approval Workflows for Sensitive Actions<\/h3>\n<p class=\"my-2\">Higher-risk workflows should require a clear approval gate. For example, a workflow may draft a client update, but a licensed professional must approve it before delivery.<\/p>\n<p class=\"my-2\">If your firm wants governed AI workflows,\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/launchlemonade.app\/platform\/teams\" target=\"_blank\" rel=\"noopener noreferrer\">LaunchLemonade for teams<\/a>\u00a0supports role-based access controls, audit trails, and approval workflows for sensitive actions. This is especially helpful when several people share responsibility for AI use.<\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Do You Write Rules for Specific LLMs and AI Tools?<\/h2>\n<p class=\"my-2\">Your policy should govern the use case and data flow first. However, it should also identify approved LLMs, settings, and account types, because products and terms differ.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Maintain an Approved Tool List<\/h3>\n<p class=\"my-2\">Keep an internal register that lists each approved tool. Update it whenever a feature, model, vendor term, or integration changes.<\/p>\n<div class=\"my-2 overflow-x-auto max-w-full\">\n<div style=\"background-color: #111827; border: 1px solid #374151; border-radius: 12px; overflow-x: auto; max-width: 100%; margin: 16px 0;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background-color: rgba(255, 255, 255, 0.08); border-bottom: 2px solid #4B5563;\">\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Tool or Resource<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Why It Matters<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff;\">Policy Action<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\"><a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" style=\"color: #60a5fa; text-decoration: underline; font-weight: 500;\" href=\"https:\/\/openai.com\/enterprise-privacy\/\" target=\"_blank\" rel=\"noopener noreferrer\">OpenAI Enterprise Privacy<\/a><\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Explains enterprise data controls<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Review product settings and contract terms<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\"><a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" style=\"color: #60a5fa; text-decoration: underline; font-weight: 500;\" href=\"https:\/\/trust.openai.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">OpenAI Trust Portal<\/a><\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Provides security and compliance materials<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Include in vendor due diligence<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\"><a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" style=\"color: #60a5fa; text-decoration: underline; font-weight: 500;\" href=\"https:\/\/model-spec.openai.com\/2026-08-18.html\" target=\"_blank\" rel=\"noopener noreferrer\">OpenAI Model Spec<\/a><\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Explains intended model behavior and safety approach<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Understand expected limitations<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\"><a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" style=\"color: #60a5fa; text-decoration: underline; font-weight: 500;\" href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/foundry\/concepts\/foundry-models-overview\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Foundry Models Overview<\/a><\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Covers model selection and responsible deployment<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Review model cards and deployment choices<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\"><a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" style=\"color: #60a5fa; text-decoration: underline; font-weight: 500;\" href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\/models\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Foundry Models<\/a><\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Shows a broad model ecosystem<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Approve specific models, not a vague category<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\"><a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" style=\"color: #60a5fa; text-decoration: underline; font-weight: 500;\" href=\"https:\/\/www.cftc.gov\/media\/10626\/TAC_AIReport050224\/download\" target=\"_blank\" rel=\"noopener noreferrer\">CFTC AI in Financial Markets Report<\/a><\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Details financial-market AI risks<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Use for risk workshops and policy reviews<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\"><a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" style=\"color: #60a5fa; text-decoration: underline; font-weight: 500;\" href=\"https:\/\/www.oecd.org\/en\/publications\/oecd-due-diligence-guidance-for-responsible-ai_41671712-en.html\" target=\"_blank\" rel=\"noopener noreferrer\">OECD Responsible AI Due Diligence<\/a><\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Offers a governance lifecycle<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Map reviews to policy controls<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\"><a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" style=\"color: #60a5fa; text-decoration: underline; font-weight: 500;\" href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener noreferrer\">NIST AI Risk Management Framework<\/a><\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Supplies a risk-management structure<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Use as a governance reference<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\"><a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" style=\"color: #60a5fa; text-decoration: underline; font-weight: 500;\" href=\"https:\/\/www.redoak.com\/resources\/articles\/building-a-responsible-ai-strategy-for-sec-registered-advisers-and-broker-dealers\/\" target=\"_blank\" rel=\"noopener noreferrer\">AI Governance for RIAs and Broker-Dealers<\/a><\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Focuses on adviser governance practices<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Compare against your control design<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\"><a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" style=\"color: #60a5fa; text-decoration: underline; font-weight: 500;\" href=\"https:\/\/www.mondaq.com\/unitedstates\/new-technology\/1768158\/risk-3-five-considerations-for-advisers-implementing-ai-in-investment-decisions\" target=\"_blank\" rel=\"noopener noreferrer\">Financial Adviser AI Considerations<\/a><\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Explores adviser risks in investment decisions<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Escalate investment-related uses<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Avoid \u201cApproved by Brand\u201d Thinking<\/h3>\n<p class=\"my-2\">Do not approve a vendor in broad terms. Instead, approve a specific product, account tier, configuration, and use case.<\/p>\n<p class=\"my-2\">A public consumer chatbot and an enterprise workspace may have very different controls. Likewise, an LLM inside a connected workflow may create more risk than the same model used for simple drafting.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Build a Model Change Process<\/h3>\n<p class=\"my-2\">Models change often. Therefore, your policy should require review when a vendor changes a major model, retention setting, integration, or feature.<\/p>\n<p class=\"my-2\">Ask whether the change affects:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Output quality<\/li>\n<li class=\"pl-2\">Security<\/li>\n<li class=\"pl-2\">Data processing<\/li>\n<li class=\"pl-2\">Human-review needs<\/li>\n<li class=\"pl-2\">Records<\/li>\n<li class=\"pl-2\">Existing client or regulatory disclosures<\/li>\n<\/ul>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Do You Train Staff and Stop Shadow AI?<\/h2>\n<p class=\"my-2\">An AI policy only works when staff understand it. Consequently, training should be practical, short, role-based, and repeated regularly.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Train Before Granting Access<\/h3>\n<p class=\"my-2\">Staff should complete training before using approved AI tools. This is particularly important for advisers, client-service teams, marketers, and anyone handling client data.<\/p>\n<p class=\"my-2\">Training should cover:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Approved and prohibited uses<\/li>\n<li class=\"pl-2\">Data categories and prompt safety<\/li>\n<li class=\"pl-2\">Hallucinations, or confidently wrong AI answers<\/li>\n<li class=\"pl-2\">Human-review responsibilities<\/li>\n<li class=\"pl-2\">Escalation paths for uncertainty or incidents<\/li>\n<li class=\"pl-2\">Recordkeeping expectations<\/li>\n<\/ul>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Use Realistic Scenarios<\/h3>\n<p class=\"my-2\">Real examples make the policy easier to follow. For instance, show a safe prompt and an unsafe prompt based on common firm tasks.<\/p>\n<div class=\"my-2 overflow-x-auto max-w-full\">\n<div style=\"background-color: #111827; border: 1px solid #374151; border-radius: 12px; overflow-x: auto; max-width: 100%; margin: 16px 0;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background-color: rgba(255, 255, 255, 0.08); border-bottom: 2px solid #4B5563;\">\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Scenario<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff; border-right: 1px solid #374151;\">Safe Approach<\/th>\n<th style=\"padding: 14px 16px; text-align: left; font-weight: bold; color: #ffffff;\">Unsafe Approach<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Drafting a client email<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Use anonymised facts and submit the draft for review<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Paste account information into an unapproved public tool<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Research preparation<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Ask for a summary of public filings and verify citations<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Rely on AI output without checking facts<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937; background-color: rgba(255, 255, 255, 0.02);\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Marketing outline<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Create a first draft and route it through compliance<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Publish performance or AI claims without review<\/td>\n<\/tr>\n<tr style=\"border-bottom: 1px solid #1F2937;\">\n<td style=\"padding: 12px 16px; color: #ffffff; font-weight: 500; border-right: 1px solid #1F2937;\">Meeting notes<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db; border-right: 1px solid #1F2937;\">Use an approved system with proper consent and controls<\/td>\n<td style=\"padding: 12px 16px; color: #d1d5db;\">Record or upload client conversations without approval<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Make Reporting Easy<\/h3>\n<p class=\"my-2\">Staff should know exactly where to report a concern. Importantly, make it safe to ask questions before a mistake occurs.<\/p>\n<p class=\"my-2\">Useful reporting triggers include:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Suspected client-data exposure<\/li>\n<li class=\"pl-2\">Incorrect or harmful AI output<\/li>\n<li class=\"pl-2\">Unapproved tool use<\/li>\n<li class=\"pl-2\">A vendor security alert<\/li>\n<li class=\"pl-2\">A workflow that acted outside its intended scope<\/li>\n<\/ul>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Support Practical Adoption<\/h3>\n<p class=\"my-2\">Good governance should not force people back to manual work for every task. Instead, it should give staff safe paths to use AI productively.<\/p>\n<p class=\"my-2\">For teams building approved assistants without engineering support,\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/launchlemonade.app\/platform\/builders\" target=\"_blank\" rel=\"noopener noreferrer\">LaunchLemonade for builders<\/a>\u00a0offers a no-code path to create firm-specific AI agents. Firms can also\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/launchlemonade.app\/book\" target=\"_blank\" rel=\"noopener noreferrer\">book an AI governance walkthrough<\/a>\u00a0when they need help mapping controls to real workflows.<\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">How Do You Monitor, Test, and Update the Policy?<\/h2>\n<p class=\"my-2\">An AI governance policy for advisers is a living control. Therefore, it needs regular testing and updates, not a single signature and a forgotten PDF.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Keep an AI Inventory<\/h3>\n<p class=\"my-2\">Maintain a record of every approved tool, model, integration, and material use case. The inventory should include an owner and a next review date.<\/p>\n<p class=\"my-2\">At a minimum, record:<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Tool and vendor name<\/li>\n<li class=\"pl-2\">Business owner<\/li>\n<li class=\"pl-2\">Permitted use case<\/li>\n<li class=\"pl-2\">Data classification<\/li>\n<li class=\"pl-2\">Risk rating<\/li>\n<li class=\"pl-2\">Required reviewer<\/li>\n<li class=\"pl-2\">Approval date<\/li>\n<li class=\"pl-2\">Last review date<\/li>\n<li class=\"pl-2\">Known limitations<\/li>\n<\/ul>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Test High-Risk Uses<\/h3>\n<p class=\"my-2\">Test higher-risk workflows before production use. Then test them again when the tool, model, prompt, data source, or business process changes.<\/p>\n<p class=\"my-2\">Testing can include accuracy checks, edge cases, access-control checks, data-leak tests, and review of unsafe outputs. Keep the results with the approval record.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Review Incidents and Near Misses<\/h3>\n<p class=\"my-2\">A near miss can teach your team before harm occurs. For example, a staff member may catch client data in an unapproved prompt before submitting it.<\/p>\n<p class=\"my-2\">Review what happened, improve the process, and document the outcome. Avoid a blame-first culture, because hidden problems are harder to control.<\/p>\n<h3 class=\"text-lg font-semibold mt-3 mb-1\">Set a Review Calendar<\/h3>\n<p class=\"my-2\">Review the policy at least annually. In addition, trigger an interim review after a major vendor change, a new high-risk use case, a security event, or a relevant regulatory development.<\/p>\n<p class=\"my-2 ll-suggested-visual-hidden\"><em class=\"italic\">Suggested Visual: A circular lifecycle graphic: Request, Assess, Approve, Test, Train, Monitor, Review, Update.<\/em><\/p>\n<section id=\"key-takeaways\">\n<h2 class=\"text-xl font-bold mt-3 mb-2\">Key Takeaways<\/h2>\n<p class=\"my-2\">An AI policy should help your advisory firm use AI with clear boundaries and accountable oversight.<\/p>\n<ul class=\"list-disc list-outside my-2 space-y-1 pl-6\">\n<li class=\"pl-2\">Start with an AI inventory and a named policy owner.<\/li>\n<li class=\"pl-2\">Approve specific tools, settings, models, and use cases.<\/li>\n<li class=\"pl-2\">Restrict client and sensitive data unless controls are formally approved.<\/li>\n<li class=\"pl-2\">Rank use cases by risk instead of applying the same rule everywhere.<\/li>\n<li class=\"pl-2\">Require qualified human review for client-facing, advice-related, and high-impact output.<\/li>\n<li class=\"pl-2\">Keep training, testing, approvals, and incidents documented.<\/li>\n<li class=\"pl-2\">Update the policy as your tools, workflows, and regulatory landscape change.<\/li>\n<\/ul>\n<\/section>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">Conclusion<\/h2>\n<p class=\"my-2\">Writing an AI use policy is not about blocking useful technology. Instead, it gives your people a safe route to use AI for real work. A strong policy defines approved tools, protects client data, keeps humans responsible, and creates records that show how your firm manages risk. Ultimately, the best policy is clear enough for staff to follow and flexible enough to evolve.<\/p>\n<p class=\"my-2\">If you are moving from policy to controlled AI workflows,\u00a0<a class=\"text-blue-600 dark:text-blue-400 underline hover:no-underline font-medium\" href=\"https:\/\/launchlemonade.app\/book\" target=\"_blank\" rel=\"noopener noreferrer\">book a LaunchLemonade walkthrough<\/a>\u00a0to explore governed agents, approvals, and audit-ready controls for financial services teams.<\/p>\n<h2 class=\"text-xl font-bold mt-3 mb-2\">Frequently Asked Questions<\/h2>\n<div class=\"faq-accordion\">\n<details open>\n<summary><h3>Does Every Financial Advisory Firm Need an AI Policy?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">Any firm using AI should document how it approves, supervises, and records that use. The policy should match the firm\u2019s services, data, tools, and regulatory obligations.<\/p>\n<\/div>\n<\/details>\n<details>\n<summary><h3>Who Should Own an AI Use Policy?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">The Chief Compliance Officer should normally own the policy. However, operations, technology, security, and adviser leaders should help assess and manage daily risks.<\/p>\n<\/div>\n<\/details>\n<details>\n<summary><h3>Can Advisers Put Client Information Into Public AI Tools?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">Not by default. Your policy should prohibit this unless the firm has reviewed the tool, approved the data flow, and documented appropriate safeguards.<\/p>\n<\/div>\n<\/details>\n<details>\n<summary><h3>Can AI Write Client Emails or Marketing Content?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">AI can help create drafts where your firm approves that use. Still, a qualified reviewer must check the final content before it reaches a client or prospect.<\/p>\n<\/div>\n<\/details>\n<details>\n<summary><h3>How Often Should an AI Policy Be Reviewed?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">Review it at least once each year. You should also review it after a new tool, material workflow, security issue, regulatory change, or control failure.<\/p>\n<\/div>\n<\/details>\n<details>\n<summary><h3>What Is the Biggest AI Policy Mistake for Advisory Firms?<\/h3><\/summary>\n<div class=\"faq-answer\">\n<p class=\"my-2\">The biggest mistake is allowing unapproved AI use without an inventory, data rules, review process, or documented supervision. That creates shadow AI and weakens accountability.<\/p>\n<\/div>\n<\/details>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>How to Write an AI Use Policy for Your Financial Advisory Firm Quick Answer An\u00a0AI use policy for your financial advisory firm\u00a0sets clear rules for approved tools, client data, human review, and records. It should treat AI as a supervised business tool, not an unsupervised shortcut. Most importantly, the policy must fit your firm\u2019s actual [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":11525,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[33],"tags":[],"class_list":["post-8657","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-launchlemonade-perspectives"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.4 (Yoast SEO v28.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI Use Policy for Your Financial Advisory Firm: 2026 Guide<\/title>\n<meta name=\"description\" content=\"Learn how to write an AI use policy for your financial advisory firm, with practical rules for risk, privacy, oversight, and staff use.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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