Welcome back to the Compliance In Context podcast! On today’s show, we discuss how to build a culture of compliance in AI world and some best practices firms are using now to build AI into their respective operations and compliance programs. In our Headlines section, the SEC to Raise Qualified Client Threshold for Performance-Based Fees, SIFMA Re-urges the SEC to Overhaul Communications Retention Rules, and SIFMA Urges SEC to Overhaul Communications Retention Rules, and finally, we close up today with another installment of Outtakes, where we review a recent enforcement action involving fraud and registration charges against three venture capital fund managers and their owner. Show Headlines SEC issued a final order that adjusts the dollar amount thresholds for “qualified clients” under Rule 205-3 of the Investment Advisers Act SIFMA Urges SEC to Overhaul Communications Retention Rules Interview with Erik Olsen How are you seeing firms successfully use AI, both inside and outside of compliance? Have you developed an AI policy? What voices inside the firm did you engage to help draft it (i.e. what departments were consulted)? From an operational perspective, what are the key considerations firms should consider before implementing AI into their systems and processes? What impact has incorporating AI into your firm had from a compliance perspective? What are some of the best practices you see firms implementing across the compliance program to foster a “culture of compliance” where AI feels ever present? Where do you see AI going in the future and what steps are you taking now to help accommodate the changing environment? Outtakes SEC charges venture capital fund managers for making false and misleading disclosures, failing to disclose certain conflicts of interest and failing to comply with Securities Act and Investment Company Act registration requirements. Quotes 14:13 – “Well, it’s, it’s the new shiny toy, right? It’s the souped-up new shiny toy that, as we always hear, you know, our neighbors down the street have and we don’t have, right? The same way they do marketing or, or something like that. So yeah, I agree with you. We got to figure out what is the use case for us because in, you know, us, you, them, it-it’s not going to be equal. Even though we all do asset management, you know, as we know within even the product lineup and the strategies we offer, it’s not all equal. So we do have to do that analysis. What do we use it for? What type of firm are we? Like I said at the top, we’re about 39 people. That AI use may look totally different than a shop that’s 1,000 people, right? Not only just what it... how you use it, what you’re using it for, but even how you even get to implement it.” – Erik Olsen 16:43 – “We are Microsoft Suite users, right? Copilot is basically in there. So we gave everyone the ability to use Copilot for work-related stuff. And in our acceptable use policy, which is an IT-owned policy, we had a section dedicated to large language learning models and AI and what you--basically the limitations. It was basically Copilot or bust. Here are the finer points. You know, put restrictions around trying to get backdoor access to Claude or Gemini or ChatGPT, whatever, et cetera. So that’s been kind of the last, again, let’s say, call it a year. And of course, people want more, which is fine. And the constant pullback was, “Yes, we want, we want more. Explain that to us,” and us re...