The AmeriFlex Group, a Las Vegas-based hybrid RIA with more than $13 billion in client assets among its advisors, has developed an AI-driven program called Scout to identify advisors nearing retirement to approach about acquiring their practices or joining an advisor team in the AmeriFlex network.
AmeriFlex founder and CEO Thomas Goodson said the tool can mine advisors of all types—wirehouse, broker/dealers, and independents—to score them on a 100-point scale in terms of how close or far they might be from retirement. The program, built with Anthropic’s Claude AI, is currently being tested in five markets by AmeriFlex and will be rolled out nationally next year. Goodson said he and COO Jesse Kurrasch came up with the idea on the heels of launching a succession-planning platform for advisors, which they called SuccessionFully.
“We developed a succession program that took people from A to Z,” Goodson said. “But how were we going to reach these advisors?”
With Scout, AmeriFlex can mine public data, including Form ADVs and websites, to identify how long an advisor has been in practice and how far they may be from retirement, Goodson said. As an example, he said Scout found 221 independent financial advisors in their home city of Las Vegas. Of those, about 17 came up as potential for near-term retirement.
“Then we have a proprietary connection to those advisors to alert them that we will be calling,” Goodson said.
Goodson said AmeriFlex has three dedicated succession specialists for the effort, which is now in five markets and will be rolled out nationally later this year. The CEO said that if there’s mutual interest, the firm will take an “X-ray” of an advisor’s practice and then decide whether to make an offer to acquire the firm or to offer it to another advisor team in the network. In some cases, AmeriFlex may acquire part of a client base in the Midwest, while a network advisor in Texas might take on the rest of the retiring advisor’s book.
“At the last mile, it usually all ends up at a diner over a cup of coffee,” Goodson said, noting the very human interaction when a practice is actually transferred. “This is not like buying a car; the advisor is handing over something that they have curated and looked after for years.”
According to the most recent survey from consultancy Cerulli Associates, about 35% of financial advisors plan to retire within the next 10 years, and more than one-quarter of those are uncertain about their succession plans. As this near-retirement core represents about 40% of all industry assets, according to Cerulli, it could potentially put 10% of client assets in play for firms willing to take on retiring advisors’ books.
AmeriFlex expects the tool to help it land about 100 more advisors in the next 24 months. Goodson said the target aligns with their growth goal of 315 “permanent pillar” advisor partners.
The hybrid RIA has already been recruiting at a fast pace, having added 18 advisors representing more than $1.7 billion in client assets in the first half of 2026.
Although AmeriFlex is majority-owned by its advisors, it secured a minority investment from Cambridge Investment Research in January. The firm was already affiliated with Cambridge as an office of supervisory jurisdiction.
Facts Only
* AmeriFlex Group is a Las Vegas-based hybrid RIA.
* The firm manages more than $13 billion in client assets.
* AmeriFlex developed an AI tool called Scout using Anthropic’s Claude AI.
* Scout mines public data, including Form ADVs and websites, to score advisors on a 100-point scale based on retirement proximity.
* The tool is currently being tested in five markets with a planned national rollout next year.
* AmeriFlex employs three dedicated succession specialists.
* Cerulli Associates reports 35% of financial advisors plan to retire within 10 years.
* Cerulli Associates reports over 25% of those planning retirement are uncertain about succession plans.
* AmeriFlex added 18 advisors representing over $1.7 billion in assets in the first half of 2026.
* AmeriFlex received a minority investment from Cambridge Investment Research in January.
Executive Summary
AmeriFlex Group is leveraging AI to aggressively target the impending "retirement wave" within the financial advisory industry. By deploying a tool called Scout, powered by Anthropic’s Claude AI, the firm can analyze public records and Form ADVs to identify and score advisors who are likely nearing retirement. This data-driven approach allows AmeriFlex to proactively approach these individuals to facilitate practice acquisitions or integrate them into their existing network of advisor teams.
The strategy addresses a significant industry vulnerability: a large portion of financial assets are held by an aging cohort of advisors, many of whom lack formal succession plans. While the initial outreach is automated and data-centric, the final transition remains a human-centric process involving personal negotiations. AmeriFlex aims to add 100 advisors over the next 24 months to reach a target of 315 "permanent pillar" partners, supported by a recent minority investment from Cambridge Investment Research.
Full Take
The strongest version of this narrative is that AmeriFlex is solving a critical systemic failure in the wealth management industry: the "succession gap." By applying AI to public data, they are creating liquidity and exit strategies for aging professionals while ensuring client continuity.
However, this represents a shift toward the "algorithmic commoditization" of professional relationships. The process begins with a "score" derived from public data, effectively turning a lifelong career into a data point to be mined. The paradox is highlighted by the CEO's admission that the process ends "at a diner over a cup of coffee"—an attempt to wrap a high-tech acquisition engine in the aesthetics of traditional, human-centric trust. The underlying paradigm is one of efficiency over organic transition; it is the industrialization of the "hand-off."
The primary beneficiary is the aggregating firm, which can now identify "distressed" or "ripe" assets with surgical precision before those assets even enter the open market. The risk is a reduction in advisor agency, where the "reach out" is not a mutual discovery but a targeted strike based on a proprietary probability score.
Patterns detected: none
Root Cause: The financialization of professional practices, where a "book of business" is treated as a tradable asset class rather than a set of fiduciary relationships.
Implications: We are seeing the emergence of "predatory efficiency." While the outcome (a successful transition) may be positive, the method shifts the power dynamic from the retiring professional to the entity with the best data-mining capabilities.
Bridge Questions:
1. How does the use of AI-driven "retirement scores" change the ethical nature of advisor recruitment?
2. If succession becomes a game of data-mining, what happens to the advisors who cannot be "scored" or who lack a digital footprint?
Counterstrike Scan: A coordinated campaign would frame this as "saving" retiring advisors from obsolescence to mask a land-grab of client assets. The actual content is straightforward business reporting and does not match the pattern of a coordinated influence operation.