Acceptable use policies, regulatory exposure, shadow AI, vendor oversight
John was recently published in Financial Advisor Magazine. His article focused on the data risks many firms may be exposing themselves to when they integrate Claude Teams into their infrastructure. Read the Full Article Here
John O'Connell authored this article for Wealth Management Magazine where he discusses the lack of AI governance from the SEC and provides a list of 5 things that RIA firms should build before June 2026.
John O'Connell authored this article in Advisor Perspectives by VettaFi discussing the AI governance gap in the wealth management industry. Right now, a lot of RIA principals have looked at the current SEC and decided they have breathing room on AI. He understands the reasoning. But disagrees with the conclusion.
The Oasis AI Readiness Index™ is the industry’s first maturity benchmark built exclusively for fiduciary wealth management firms, trust firms, and family offices, utilizing a two-axis maturity model that measures both governance control and technology sophistication across 70 diagnostic questions.
John O'Connell authored this article in Advisor Perspectives by VettaFi where he discusses the dangers of unregulated use of shadow AI that could already be affecting your firm. The real question is not whether shadow AI exists inside your walls. It is whether you will take control of it before regulators and cybercriminals do.
John O'Connell authored this article for Advisor Perspectives by VettaFi, covering how smaller firms can achieve meaningful, defensible data lineage using tools they already own — if they understand what lineage actually means in practice.
While your compliance team debates whether to allow the latest LLMs, most of your advisors are already using it on their personal phones. They are entering client data, portfolio ideas, and internal research into systems your firm has never reviewed. How will you take control of it before regulators and cybercriminals do?
Data lineage isn't about expensive technology. It's about answering three straightforward questions about AI-generated content: What data went into this output? Who used it, and when? Where is the record stored? If you can answer those questions reliably, you have functional lineage. Everything else is infrastructure theater.
