Our Peaks Perspective newsletter provides our monthly perspective on leading topics in the Financial Services, Sales, Technology, and Values Based Investing spaces.
Your AI pilot will look cheap. That is the trap. The per-task cost that looked trivial in a controlled test does not hold when you put the tool in front of your whole firm, and the gap between the two is not small. Enterprises that scaled past the pilot stage discovered the real cost only...
Access The Oasis Group's AI WealthTech Map, a resource that financial advisors and wealth management firms can use to find leading artificial intelligence solutions and AI-focused firms serving the wealth management industry. The map follows the lifecycle of a wealth management relationship and is organized into 8 categories, identifying and categorizing 106 leading technology firms.
You signed a contract for an AI tool. The bill arrives measured in something called tokens, or credits, or messages. Last month it cost one number. This month it costs twice that. Nobody on your leadership team can tell you why. You do not need to understand the engineering to fix this. You need to understand...
The trust industry has been largely absent from the AI governance conversation, treated as an afterthought in frameworks designed for RIAs and broker-dealers. That absence is dangerous.
The trust industry has been largely absent from the AI governance conversation, treated as an afterthought in frameworks designed for RIAs and broker-dealers. That absence is dangerous.
The trust industry has been largely absent from the AI governance conversation, treated as an afterthought in frameworks designed for RIAs and broker-dealers. That absence is dangerous.
The wealth management industry is headed for a collision between unprecedented demand and a shrinking supply of advisors. This is not a looming crisis. It is the present reality, and artificial intelligence has emerged as the decisive technology that will separate industry winners from those that hemorrhage market share.
AI has introduced a new cybersecurity risk: AI systems can now analyze the sound of a keyboard and determine what a person is typing. Machine-learning models can infer the keystrokes with reported accuracy rates as high as 95 percent. Discover how best to combat this threat in this Peaks Perspective article.
In this Peaks Perspective article, Nathaniel Hettrick of The Oasis Group discusses how Agentic AI workforces are reshaping wealth management operations, sharing why The Oasis Group is adding a new category to our AI WealthTech Map and what it means for your firm.
The percentage-of-assets fee is so embedded in advisory economics that most firms treat it as a fixed constant rather than a business decision. But the AUM model is neither as old nor as inevitable as it feels. Understand where it came from and why it may fail you in this Peaks Perspective article.
After three decades in financial services, I've learned to pay close attention to what regulators say. Right now, a lot of RIA principals have looked at the current SEC and decided they have breathing room on AI. I understand the reasoning. I disagree with the conclusion. Find out why the next 3-4 years represent an...
Every prospect is different—interests, timelines, and engagement levels all vary. Treating them the same because your CRM can’t segment effectively means missed opportunities. Consistent growth comes from communicating relevantly and responding to each prospect based on where they truly are in their journey.
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.
Traditional research workflow involves multiple database queries, manual data aggregation, and spreadsheet compilation before answering complex investment questions. Google Finance's Deep Search changes this by allowing portfolio managers to ask multi-factor questions in plain English and receive structured answers synthesizing information from multiple sources.
Your conversion process has stages whether your CRM acknowledges them or not. Prospects move from initial interest through discovery, evaluation, decision-making, and commitment. Managing this process without structured stages is like running a portfolio without knowing your asset allocation; you're missing the fundamental organizing principle that makes everything else make sense.
CRMs and email marketing platforms exist in parallel universes that don't communicate with each other. The firms that grow consistently aren't those with perfectly integrated technology stacks. They're the ones who understand their systems' limitations and build processes ensuring critical information doesn't get lost in the gaps.
For most of the past two decades, prediction markets were treated as academic toys. Now, regulated prediction markets are emerging as a credible new financial category. This shift deserves serious attention from the wealth management community.
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?
In our latest Peaks Perspective article, we delve into the rise of prediction markets and event contracts in the wealth management industry and give a clear engagement strategy framework for advisors beginning to see signs of prediction market activity in their client base.
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.
In our latest Peaks Perspective article, discover how audio deepfakes endanger wealth management firms, including what exactly is an audio deepfake, why wealth firms are prime targets, how to move from familiarity to verification, and more. Plus, access an in-depth deepfake-resilience checklist that serves as a practical framework to protect clients, staff, and the...
What is Business Process Management (BPM)? Find out why wealth management firms need to embrace it now. Discover all you need to know in this latest installment of the Peaks Perspective series.
What's happening with AI in wealth management isn't just another tech upgrade; it's a fundamental reshaping of how successful advisory firms operate. Learn how successful firms are leveraging AI in this Peaks Perspective article that covers what John O'Connell is seeing in his work in the field.
As more firms embrace AI tools, the key to success lies in how effectively these tools are implemented. By following a structured prompting workflow, wealth managers can maximize the potential of AI and reduce operational inefficiencies. Below is a step-by-step guide to building a successful prompting workflow for your practice.
The wealth management industry is early in the beginning of its technological transformation driven by artificial intelligence (AI). AI notetakers were the technology advancement of 2024 and AI chatbots are the advancement of 2025. Find out more in this latest Peaks Perspective.
Monte Carlo simulations have become an invaluable tool for financial advisors and individuals in the complex world of retirement planning. Recently, we had the opportunity to leverage Claude, a powerful AI assistant, to create a sophisticated retirement simulation for a hypothetical couple.
When you discover your identity has been used in a pump and dump scheme on WhatsApp or other platforms, taking swift, decisive action is essential. This guide outlines the specific steps you should take to report the crime, protect your clients, and help authorities bring the perpetrators to justice.
The landscape of RIA acquisitions has transformed dramatically over the past decade. This analysis examines the primary models driving consolidation in the RIA space and explores their strategic implications for industry participants.
