Approved IAR CE Courses

As clients live longer and wealth remains invested well into retirement, financial advisors increasingly face complex situations involving diminished capacity, family conflict, and potential elder financial exploitation. In this session, securities attorney Michelle Atlas-Quinn will provide a practical legal framework for navigating these sensitive situations while protecting both clients and advisory firms. The program will explore how regulators evaluate advisor responsibilities when working with aging clients, how legal capacity differs from observable warning signs of cognitive decline, and why advisors must document concerns carefully without attempting to diagnose medical conditions. Michelle will also discuss account titling considerations, jurisdictional issues, the limits of custodian involvement, and the litigation risks advisors face after a client’s death. The session will further review the federal regulatory framework, including SEC Rule 2165 and Regulation S-P, along with practical risk-mitigation strategies advisors can implement to recognize red flags, escalate concerns appropriately, and respond to suspected exploitation while maintaining compliance and client confidentiality.

This course equips investment adviser representatives with practical knowledge of how artificial intelligence tools can enhance tax planning strategies for clients. Participants will explore AI-powered approaches to tax-loss harvesting, Roth conversion analysis, charitable giving optimization, and multi-year tax projection modeling. The course examines how AI tools can identify tax-saving opportunities that may be missed in manual analysis, while emphasizing the adviser's responsibility to validate AI-generated recommendations against current IRS regulations and client-specific circumstances. Case studies demonstrate real-world applications of AI in tax planning across different client profiles, including high-net-worth individuals, retirees, and business owners. Upon completion, participants will be able to evaluate AI-powered tax planning tools, identify appropriate use cases, and integrate AI-assisted analysis into their advisory practice while maintaining compliance with applicable regulations.

This course examines how artificial intelligence is becoming part of financial services, creating new efficiencies but also new potential risks for investment adviser representatives. It explains how AI fits within the existing regulatory framework, including fiduciary duties, the Marketing Rule, the Books and Records Rule, and Regulation S-P - framed through the lens of ethical responsibilities. Through examples, enforcement cases, and professional guidance, you will see that while technology may evolve, your ethical duties do not: the standards of care, honest and transparent disclosure, and protection of client data remain constant and must guide your judgment in practice.

This continuing education course explores the critical intersection of artificial intelligence technology and regulatory compliance in the investment advisory industry. Participants will gain practical knowledge to ensure their firm's AI usage complies with SEC regulations, FINRA rules, and state securities laws. The course covers essential topics including privacy requirements, oversight obligations, fiduciary duties in AI-assisted decision making, and the evolving regulatory framework governing AI use in financial services. Through examination of recent enforcement actions, SEC risk alerts, and practical implementation strategies, participants will learn how to balance innovation with regulatory compliance and client protection.

The.integration of artificial intelligence (AI) into advisory firms' operations introduces a host of legal and compliance considerations that cannot be overlooked. In this session, legal and compliance expert Chris Stanley, will examine the critical regulatory areas impacted by AI adoption, including Regulation S-P (privacy and data sharing), SEC Rule 204-2 (recordkeeping obligations), disclosure requirements under Form ADV and Form CRS, and the need for human oversight to ensure regulatory compliance. Advisors will gain practical insights to navigate these evolving requirements, implement best practices, and ensure their use of AI tools aligns with client expectations and regulatory mandates.

This CE course equips financial advisors with practical strategies to apply AI and automation tools in their practices responsible. AI is a new technology, and this class maps a path for IARs to implement AI ethically and responsibly. The class is geared to educating practitioners to use artificial intelligence (AI) to engage clients and prospects in the financial planning process. You are shown ways how to streamline workflows, tighten compliance on client communications and recordkeeping, and boost client engagement through smarter content creation. The program also covers advanced marketing tactics, including SEO and GEO (Generative AI Engine Optimization), to boost rankings in AI-powered search results. Real-world demonstrations include using ChatGPT for newsletters, social posts, and personalized follow-ups.

What do you do when you suspect an aging client is being financially exploited, often by a friend or family member taking advantage of them? Two regulatory tools exist specifically to help you act: the trusted contact framework and temporary disbursement hold authority. But many advisors either don't know these tools exist, don't understand the conditions under which they can be used, or are so uncertain about the rules that they default to doing nothing (to avoid accidentally breaching client privacy) while allowing a client's assets to remain at risk.

Join Amy as she takes a deep dive into these two specific provisions of NASAA's Model Act to Protect Vulnerable Adults from Financial Exploitation: what they actually say, what they allow, what they require, and why regulators created them in the first place. Using real case scenarios, attendees will work through exactly how to apply these tools in practice: when a trusted contact can be reached out to and for what purpose, what triggers the authority to place a temporary hold on a disbursement, what documentation must accompany that hold, and what happens next. 

Upon completion of this self-study course, financial professionals will be able to identify key ethical principles, fiduciary obligations, and regulatory requirements when utilizing artificial intelligence in various capacities. Best practices for maintaining ethical standards in these areas are included in the course materials and real-life examples are provided. Participants will have a demonstrated increase in awareness and knowledge as measured by a post-course assessment. Real-world scenarios help illustrate ethical dilemmas and proper conduct. Mastery of these principles protects not only the client relationship but also the advisor’s professional reputation.

This course examines the application of existing fiduciary obligations and federal securities law to the use of artificial intelligence in investment advisory practice. Drawing on the Investment Advisers Act of 1940, SEC anti-fraud provisions, Regulation Best Interest, and FINRA Regulatory Notice 24-09, the course addresses three core compliance areas: identifying AI-related conflicts of interest, meeting disclosure obligations through Form ADV, and building supervisory and recordkeeping frameworks for AI-assisted advisory activities. The course is designed for investment adviser representatives, CFP professionals, and compliance personnel at registered investment advisory firms.