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.
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 7 categories, identifying and categorizing 101 leading technology firms.
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.
