Ep. 337: April WealthTech News: AI Operating Systems, ByAllAccounts Sale, and the Future of Financial Advisors

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WealthTech news in April 2026 is dominated by one theme: AI is eating the advisor technology stack from every direction at once. Morningstar is selling ByAllAccounts, marking the second major data aggregation exit in twelve months. AI note-takers Zocks and Jump are morphing into full advisor operating systems, competing for the same advisor desktop. Range, an RIA managing $700 million, has publicly announced plans to eliminate most of its human advisor workforce within three years. Meanwhile, CRMs like Wealthbox are scrambling to embed AI agents before they get disintermediated entirely. This month’s wealthtech industry news covers ten stories that together paint a picture of an industry at an inflection point — where legacy platforms are divesting, upstarts are raising hundreds of millions, and the definition of what a financial advisor actually does is being rewritten in real time. Craig Iskowitz and guest host Jeremi Karnell, former Head of Data Solutions at Envestnet, break it all down.

If your firm is wrestling with an outdated tech stack — or you’re exploring new platforms — Ezra Group’s comprehensive tech-stack assessment can help you eliminate inefficiency and build a scalable, future-ready foundation. Visit EzraGroup.com and click Contact Us to schedule a consultation.

WealthTech Headlines in April

• Morningstar Sells ByAllAccounts toInvestment Companies
• Cetera Selects Zocks to Offer AI Assistant to 12,000 Financial Professionals
• Jump Expands AI Operating System for Advisors With New Products Powering Growth and Operations
• Wealthbox Announces Early Access to New AI Features for Financial Advisors
• RightCapital Introduces Smart Import(TM), Revolutionary AI-Powered Tool
• Finny Debuts Hunter AI Agent
• Range RIA Plans to Eliminate Its Own Advisor Workforce
• Tiffin Group Launches Tiffin.ai
• LPL to Acquire Mariner’s $31 Billion Advisor Network
• WealthTech Integration Score & AdvisorTech Map Update

TL;DR Summary

1. Pello Companies to Acquire ByAllAccounts from Morningstar

Following Envestnet’s divestiture of Yodlee, Morningstar is selling ByAllAccounts to Pello Companies, LLC, a firm focused on open finance innovation. When two of the biggest names in wealth management exit data aggregation within the same 12-month window, it signals a broader strategic shift — likely tied to ongoing uncertainty around the 1033 rule and the toll-booth economics big banks may impose on screen-scraping-dependent platforms.

2. Cetera Selects Zocks to Offer AI Assistant to 12,000 Financial Professionals

Cetera has selected Zocks to bring AI-powered meeting automation to its 12,000 affiliated financial professionals. Beyond note-taking, Zocks now captures money-in-motion signals, brokerage statements, and financial status changes — converting them into structured CRM data across more than 370 eMoney fields. The real metric to watch: monthly active users six months from now, especially as Jump also holds a Cetera relationship.

3. Jump Expands AI Operating System for Advisors With New Products Powering Growth and Operations

Jump has formally rebranded its offering as an AI Operating System for Advisors, organizing its capabilities into three products — Meet, Grow, and Operate — built on a unified data foundation. Jump stops short of calling itself a CRM, but with $80 million in fresh funding and advisors living inside the platform for prep, meetings, follow-ups, and reporting, the distinction is narrowing fast.

4. Wealthbox Announces Early Access to New AI Features for Financial Advisors

Wealthbox has launched Wealthbox AI, embedding AI agents directly into its CRM for meeting notes, onboarding, and client insights. The move reflects a broader battle over who owns the “system of action” — CRMs sitting on rich unstructured data, or trading and portfolio platforms commanding far greater data volume. The answer likely depends on who can aggregate across both.

5. RightCapital Introduces Smart Import(TM), Revolutionary AI-Powered Tool

Right Capital’s new Smart Import feature uses AI to extract client data from uploaded documents and auto-populate financial plans, reducing manual input time by 70%. The real strategic play: eliminating the switching cost moat that has kept advisors locked into eMoney and MoneyGuide Pro for years.

6. Finny Debuts Hunter AI Agent

Hot on the heels of its $17 million Series A, Finny has launched Hunter, an AI agent that acts as a chief growth officer — autonomously executing marketing campaigns, generating personalized outreach, and producing content across channels. As AI-generated content floods advisor inboxes, the question is whether hyper-personalized AI outreach will work, or whether truly human-crafted content becomes the new premium.

7. Range RIA Plans to Eliminate Its Own Advisor Workforce

Range, an RIA managing $700 million, has stated plans to eliminate most of its advisor workforce within one to three years, replacing them with its AI wealth advisory tool Ray — which scored 95% on CFP exam practice questions. With flat-fee subscription tiers ranging from $3,000 to $10,000 annually, Range is betting that clients under 60 will be comfortable with AI-driven advice. The counterargument: those same clients may simply use their own AI and skip the RIA altogether.

8. Tiffin Group Launches Tiffin.ai

Tiffin Group is consolidating its AI products across wealth, asset management, and insurance under a single agentic platform, Tiffin.ai. The vision is a multi-persona, multi-workflow operating layer that stitches together previously siloed AI agents. Already deployed across more than 10 enterprise wealth clients, the platform aims to be the orchestration layer above the entire enterprise stack.

9. LPL to Acquire Mariner’s $31 Billion Advisor Network

LPL Financial, through affiliate Private Advisor Group, is acquiring Mariner Advisor Network and its 367 advisors managing $31 billion in assets. The deal lands squarely at the intersection of the old world and the new — the largest independent broker-dealer doubling down on human advisors at the exact moment AI firms are declaring them obsolete. Either LPL sees something the AI optimists don’t, or the digital exhaust from this scale of advisor activity is exactly what they’re after for future model training and data activation.

10. WealthTech Integration Score & AdvisorTech Map Update

The April AdvisorTech Map, co-curated with Michael Kitces, added seven new applications: EquityNav (Equity Comp), Trusty (Legacy Planning), Epilogue (Estate Planning), Contio (Meetings), Finteleon (Investment Data Analytics), FiduLink (Digital Marketing), and 8 Figures (Client Portal). The industry’s median WealthTech Integration Score has reached 4.5, up meaningfully from a year ago, reflecting growing integration depth across the sector. Visit EzraGroup.com to look up scores by category.

Here at Ezra Group, we’re experts on everything wealthtech, including CRM, portfolio management, trading, rebalancing, performance reporting, just to name a few. When we start working with an RIA or broker dealer, the first thing we do is a  comprehensive tech stack assessment. This provides a top to bottom view of all systems and processes, and it’s a critical part of the firm’s growth plan, since the tech stack is the foundation for building towards the future. If you’d like to see your tech stack converted from a liability into an asset you need to run not walk to our website, EzraGroup.com, and click on the golden Contact Us button at the top of the homepage, the experienced team at Ezra Group will conduct a detailed tech stack assessment for you, delivering targeted recommendations that will optimize your existing software platforms. Or we can run an RFP process and help you select and then implement a new solution to help take your firm to the next level. You can schedule a free consultation by going to EzraGroup.com. A few quick housekeeping tasks before we continue.

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Episode Transcript

Craig: All right, here we go. Let’s get this thing started. So I’m excited to introduce my guest host for this episode of the news, the April news. It is none other than Jeremi Karnell, former head of data solutions from Envestnet. Jeremi, I’m so glad to talk to you here.

Jeremi: Thank you, Craig. Thank you so much for inviting me to be part of this.

Craig: It’s going to be great. You’re one of the few guest hosts we’ve had. We’ve had some people come in for one or two stories, but you’re going to sit in on all the news, the whole thing.

Jeremi: All the news. I am honored to collaborate with you on this.

Craig: This is going to be fun. I’m excited too. And what’s great about this is you are the former head of Data Solutions for Envestnet.

Jeremi: So you’ve got a lot of free time now to talk about the news. A lot of free time to read and talk about the news, no doubt.

Craig: Well, fortunately. So you’re now in between jobs, as we could say, right? In between opportunities, right? Indeed.

Jeremi: And we just did a podcast with you and your brother, Ian, who’s the CEO of VastAdvisor. That’s correct. My identical twin brother, Ian. So yeah, we’re trying to work on this whole brand in the wealth industry. You should.

Craig: Since we should, right?

Jeremi: We talked about that at Future Proof last year.

Craig: Why not? Exactly. And we did this.

Jeremi: That podcast hasn’t dropped yet.

Craig: We’re holding it till May due to some announcement with VastAdvisor, but it was fun when he said, Jeremi’s right here. You want him on the podcast? I’m like, yeah, bring him on. That’s never happened before. No one’s ever jumped into a podcast live while we were talking.

Jeremi: I wasn’t even expecting that. That was the day after we arrived in Dana Point from road tripping from Austin, Texas to Dana Point, California, because he’s moving out there. He’s getting married next month, and so that was less than 24 hours after we just finished that two-day road trip, and you just, out of the blue, from across the house, was like, hey, Jeremi, I’m like, holy shit, okay, let’s go. Zoom.

Craig: Get on Zoom now. Come on.

Jeremi: That’s right. And it worked.

Craig: It was fun. We did a whole podcast.

Jeremi: Look for that in May, everyone, when the Karnell Twins podcast will drop. Hashtag both friends.

1. Morningstar Sells ByAllAccounts: What Two Major Data Aggregation Exits Mean for Wealth Management

Craig: But right now, we’re doing the news. We’ve got a lot of stories. And you’re going to be here for all of them. So let’s jump in. The first story is Morningstar selling ByAllAccounts.

Jeremi: Yeah.

Craig: That is, I think that’s the biggest, that’s one of the biggest news items, maybe not in terms of the size and scope, but ByAllAccounts is such a well-known brand name in the industry. And to finally be sold after so many years just seems like a transition of one era to another.

Jeremi: Well, I mean, I think this is the takeaway. First, Envestnet punted Yodlee, right? And Morningstar is punting ByAllAccounts. So when two of the biggest names in wealth management decide data aggregation isn’t core to their strategy, and in sort of the same 12-month window, that’s telling you something, right?

Craig: Yeah, it says something, yeah. I’m not sure what it says, but it’s hard to be a coincidence, and I don’t believe in coincidences.

Jeremi: Yeah. No, I mean, I have to think that. I mean, obviously. The buyers are different. The situation and the divestitures are definitely different. But I’m wondering whether or not both sides of it — I’ve obviously got a little bit of insight on the Envestnet side. A little. A little. But part of me just thinks whether or not both of these players just looked at the ambiguity that exists around the 1033 rule, that that’s still in flux. And until that gets decided upon, you’ve got these big financial banks going to put a toll booth in front, and that’s going to change the economics of everything. So part of me is like, we’ve got better things, bigger things to deal with than that type of regulation in front of us.

Craig: So let me just read the first bit of this press release. The company that is buying them is called Pello Companies, LLC. I’ve never heard of them, which focuses on finance innovation. I didn’t know that. So they’re buying this. They say ByAllAccounts will operate as a standalone company, expected to close first half of 2026, which is now. And so they brought a new CEO who came from Moody’s and S&P Global. And they obviously have a strong brand name. It’s got a decent market share. And it’s part of a trend of Morningstar divesting themselves of all their software business.

Jeremi: Yeah, yeah, yeah. Yeah, it’s interesting. Yodlee went to a large diversified PE firm, right? SDG. They got, what, $12 billion in AUM. And they own RSA. And I actually didn’t know this. They actually own SurveyMonkey as well. I mean, they’ve got a pretty decent portfolio. But when you think about them, they were a financial buyer treating Yodlee probably like a portfolio asset. ByAllAccounts is going to Pello. And again, I’ve not heard of them either. But focused on open finance innovation. I think both are making the same bet that moving these assets outside of these large conglomerates into something that is private and direct is going to unlock their value that was sort of trapped away, or perceived as trapped away.

Craig: Perceived value, yeah. So the new CEO, Cynthia Rojas Cejas, of ByAllAccounts said, vision is to deliver advisors, wealth managers, and wealth technology platforms the most comprehensive financial account data and an expanded set of capabilities that extend beyond pure data aggregation. Through deep relationships, including Morningstar, we are confident about powering the ongoing digital transformation of the wealth management ecosystem.

Jeremi: Sounds like a lot of fluff, but… I was going to say, that sounds like a generated press release. Obviously, just as Envestnet’s still a client of Yodlee, right? I mean, those things are going to continue on in transactions like that. I just wonder what the future is with these guys. Both Yodlee and ByAllAccounts sort of still have their legacy in screen scraping, right? And the whole 1033 rule was to take us out of that world and move us more into an API world. And with that rule in limbo, that migration timeline is uncertain. Screen scraping remains an illegal and security gray area, I think.

Craig: Yes. And banks both.

Jeremi: And so, again, it’s amazing to see how far this industry has swung from one pole to the next in just a matter of, what, 10 years? And to see both of these darlings in the space get divested from these major players — it’s stunning. It is. But not surprising. Not surprising, right? So on the Morningstar side, they shut down a Morningstar office, they sold their TAMP, and they’re selling ByAllAccounts. Do you think they’re getting out of anything that’s not data related, purely providing data? It seems that way, right? I mean, I think they’re focused on a core and focused on getting rid of the distractions. And Envestnet I think is focused on that as well. They’ve been very public about that. I think they’re following the same playbook. All right. So I don’t know where you go to find information about Pello Companies. I don’t know what their website is. I’m sure you can ask Claude what Pello Companies is if you want more information about them.

Craig: Of course, everyone knows where to find more information about Morningstar. That was eight minutes on that story. Let’s go to the next story. (See The End of Morningstar Office: How RIAs Can Turn Tech Chaos into a Competitive Advantage)

2. Cetera Partners With Zocks to Bring AI Meeting Automation to 12,000 Financial Professionals

Craig: Slightly different story. Cetera, we all know Cetera, the large broker dealer, selects Zocks to offer AI assistant to 12,000 financial professionals.

Craig: So Cetera affiliate financial professionals and their teams can now use Zocks to automate administrative and meeting tasks, onboard clients faster, and ultimately drive organic growth. Zocks streamlines operational tasks that previously required hours of manual data entry, captures data from client conversations, documents CRM data, such as money and motion milestones, brokerage statements, and financial status changes, and turns it into structured data. Zocks then automatically creates meeting summaries to update CRM, and financial planning tools advisors use it every day, including more than 370 fields in eMoney. Additionally, Zocks pulls relevant information from these connected systems to automate meeting prep, notes, personalized email replies, and more, all with updates. So with these AI-powered automation and client insights, Cetera affiliates can reclaim time to build deeper relationships. Additionally, Cetera leadership gains firm-wide visibility into client intelligence to help identify trends, bottlenecks, and scale best practices. So, all right, Jeremi, you go, what do you think? And I’ll tell you what I think.

Jeremi: Yeah, 12,000, I mean, that’s a meaningful number. It puts Zocks in a direct sort of foot trace with Jump, which, by the way, also has a relationship with Cetera. So now both are competing for wallet share. So that’s going to be interesting to see how they play this out. It’s almost like a horse race that seems to be being put into motion. It is like a horse race.

Craig: It is a horse race.

Jeremi: It is a horse race, no doubt. And by the way, I adore Cetera. Obviously, they were a huge pillar for us in my previous startup that Envestnet acquired.

Craig: Truelytics.

Jeremi: Truelytics, yes. And so in many ways — and I’ve said this publicly before — in many ways, Truelytics is the house that Cetera built. And so I owe them a lot for that. And so it’s great to see my colleagues on the entrepreneurial side getting traction with a huge enterprise like this.

Jeremi: I think the real risk with deals at this scale comes down to actual usage. And this is no different between Cetera or LPL, doesn’t matter. Just because the agreement has 12,000 seats does not mean they’re all going to be active users, especially with an advisor base that is made up of the demographics that Cetera sits on top of. So we’ll see. The real metric to see whether or not this lands is monthly active users six months from now. Let’s see what that looks like. And compare that with Jump, right?

Craig: That’s going to be the game. Sure. So what I thought was interesting is if you read this press release versus the press release that Zocks might have put out six months ago, very different. You talk about all the operational tasks and bringing in PDF statements, looking for money in motion milestones, brokerage statements, financial status changes, and then converting those to structured data and onboarding. That wasn’t in the list of features just six months ago. These are no longer note-takers. These are agentic AI operating systems or agentic AI platforms that are looking to take as much of the advisor’s workflow as possible.

Jeremi: Yeah, I think they’re looking to build a much more comprehensive client portfolio by analyzing data across multiple ongoing changes. And so Jump shines in summarizing very specific, immediate client conversations. And I think the focus that Zocks is taking is a way for them to differentiate themselves from a cluttered space, right? I mean, you and I’ve talked about this in the past, note-takers are a dime a dozen, and the barrier to entry is very low in this space. So when you think about how other platforms like Copilot, et cetera, that are getting rolled out at the enterprise level are going to start probably playing in this field as well over time, it’s good to see that Zocks is reading the tea leaves and looking to diversify itself.

Craig: Right. I think they just see that they are the gatekeepers of a lot of data. Almost every piece of data that comes into a wealth management firm now has to go through the note-taker.

Jeremi: Yeah.

Craig: And if they’ve got first crack at all the data, why not do everything with it? Why not run proposals? Why not do onboarding? Why not push it everywhere else? You become the main thoroughfare for all the data coming in and being pushed to every other system.

Jeremi: Yeah, yeah. No, it’s a good position for them to be in, frankly. (See Ep. 302: Inbox Whisperers and Client Coaches: AI Assistants for Financial Advisors Step Up Their Game with Mark Gilbert, Zocks)

3. Jump Launches AI Operating System for Advisors: Meet, Grow, and Operate Explained

Craig: There was an article about — I can’t find it here — but there’s a guy, an industry pundit, his name is Nathaniel Whitmore. And he’s got a great podcast. He’s been around for a long time. And he started, of course, an AI podcast, as everyone did. And he wrote an article — I can’t remember the title — it’s like, every AI application is now becoming every other AI application, right? Everyone’s just building everything all at the same time. So we’re seeing that with these note-takers all saying, well, I can do onboarding. I can do document extraction. I can do proposals. I can do this. I can do it. Why not do it? Keep building. Everyone’s building everything. Because the next story, we’ll just keep plowing through these. The next story is Jump.

Craig: They came out with a name. They’re like, hey, we’ve got an AI Operating System for Advisors. So Jump expands AI operating system — Salt Lake City. They’re formally launching AI Operating System for Advisors consisting of a series of practical AI solutions built on top of unified data integration and agentic AI orchestrated foundation. Oh boy, that’s a lot.

Jeremi: That’s a lot of buzzwords. Designed to power the modern advisory firm.

Craig: So this is exactly what I read from the Zocks announcement. They just didn’t have a cool name. So the new structure organizes Jump’s capabilities into three integrated products, Meet, Grow, and Operate, built on a unified operating system. I don’t know what that means. It’s included with all products. Together, the product transforms every client conversation, document and email into structured intelligence, compliance-ready documentation, and automated workflows, helping firms grow and blah, blah, blah. So this is where we’re all going. I mean, kudos to Jump for coming up with a great name for it. But it’s the same thing. Zocks is doing the same thing. I think CogniCor does something similar. Zeplyn, right? They’re all rushing to get some sort of RIA, wealth management platform together that does all these things.

Jeremi: Yeah, I mean, operating system to me — if you’re going to claim that, you need to pass the litmus test that you’re the system of record and Jump isn’t, right? I mean, the data of record for many of these firms still lives within Wealthbox or Redtail or Salesforce and Jump’s orchestrating around those systems. And so it’s interesting. I guess the question is, does Jump eventually need to become a CRM to fulfill that product vision, right?

Craig: Funny you mentioned that, Jeremi Karnell. So I had a demo from Parker Ence, CEO of Jump, last September or October. He’s great. He’s fantastic. He’s a super smart guy. And he came to the demo. I’m looking at it. After the demo, I said, dude. You’re a CRM. He’s like, oh, no, no, no, we’re not a CRM. You just showed me all these features. You’re gathering all the tasks. You’re building workflows. You’ve got every piece of client data. You’re pushing it to the old CRM for posterity purposes. But I’m not working with that anymore. If I’m an advisor, I’m living in your world.

Jeremi: I’m prepping for meetings inside Jump.

Craig: I’m running the meetings inside Jump. I’m doing follow-ups to the meetings inside Jump, checking my tasks. I’m running everything. I’m looking at the client sentiment analysis. I’m running reports. And what am I doing with this old CRM thing? It’s useless. He’s like, oh, we don’t want to do that. I said, here’s what you need to do. You need to call up your investors and tell them, I need $100 million because I got to build out an entire platform here. They go, oh, no, we’re not going to do that. Well, what happened in January? They announced $80 million funding.

Jeremi: I didn’t get any of that.

Craig: I got no credit for that. But I said that to him. It’s all recorded.

Jeremi: Anyway, so that’s what they’re doing.

Craig: They don’t want to say they are a CRM because they don’t want the checklist comparison.

Jeremi: Yeah.

Craig: If you say you’re a CRM, they go, you don’t have this, this, this, this, whatever the checklist is. If you say, we’re an operating system, and oh, by the way, we do all these CRM-like things, it’s very different.

Jeremi: Yeah, and I also don’t think they want to ruffle their channel feathers either, right? I mean, they want to be able to play nicely in a sandbox with all the CRMs they’re integrating with, and they begin to view themselves as a CRM. And how many CRMs are going to be like, yeah, you’re in the sandbox with me. That’s going to come with a quick close.

Craig: Until they stick a shiv — until they’re in the shower with the CRM and stick a shiv between their ribs.

Jeremi: Yeah, you’re done. That’s exactly right. I was in some conversations with some consultants, who I won’t name, but you could probably assume who they are, that made the claim that with AI — I mean, look at something like Claude Cowork, and the ability to, via API integrations, be able to fuel something like that. There was a claim made by one consultant. They’re like, in an AI world, are CRMs even necessary? Like, in the long run — nothing new.

Craig: I mean, I’ve been talking about this since last year when an article came out from A16Z, the VC fund, which was titled, cheekily, Death of a Salesforce.

Jeremi: And that’s what it said.

Craig: We don’t need CRMs anymore, right? There’s no reason for it. We had a CRM because that’s the way the technology operated, and we needed a database centralized on a server somewhere, because you couldn’t pull the data fast enough from all the other systems. You had to bring it in, copy it, put it in a structure so I could query it, run reports on it. If I can now just query everything live, and it’s instantaneous, what do I need it in the database for?

Jeremi: There’s no reason. Yeah. I think these are the headwinds that all of these startups are going to be facing.

Craig: And there’s all these new CRMs launching, like Slant. So CRMs and a bunch of other ones that are just coming out and saying, hey, we’re just a new CRM, work with us. And at first, no one’s going to trust it. But pretty soon, they’ll be like, hey, I’m just using this all the time. Why not? Why am I paying XYZ company thousands of dollars a year for a backup?

Jeremi: That’s exactly right. So it’s going to be interesting to see how the market changes in the next couple of years.

Craig: All right. So if you want to find out more, Zocks is Zocks.io. And Jump is Jump.ai.

Jeremi: Right.

Craig: Yeah, Jump.ai. So that’s where you can find more information about those two.

Jeremi: All right.

Craig: I just need to take a break in there so I can have separate files. No problem. Because normally I stop Zoom and restart it for every story. Got it. We’ll keep the companion on. All right. So I’m going to start the next story in a second. Let’s close this, close this, close this. All right. So we’ll do the Wealthbox story next, right? All right. (See The Rapid Shift From Notetakers to Intelligent Agents — How AI Will Rewire WealthTech Workflows)

4. Wealthbox AI: How CRMs Are Fighting Back Against AI Operating Systems

Jeremi: Next story on the April news, Wealthbox AI, from system of record to system of action.

Craig: So Wealthbox CRM has announced that they are launching a bunch of AI agents. So they’re calling it Wealthbox AI. They built it directly into what they’re calling their system of record, which you mentioned earlier, which is the CRM. And they’ve got a couple of different workflows and processes that they’re launching for their clients. It’s in beta at the moment, and it does a couple different interesting things. Meetings and onboarding — they have a meeting note feature that they built, they’re doing onboarding, they’re doing some insights. So I think this is their desire to say, we don’t want to get disintermediated by these AI operating systems that are now taking over advisor desktops. We can do onboarding, we can do follow-up, we can do meetings, we can do annual reviews, and automate all that for you as well. What do you think?

Jeremi: This headline struck home to me a bit just because of my heritage with Envestnet. The whole system of action, especially — Craig, you and I over the years talked about decision intelligence and next action and how Envestnet, especially on top of the data set it has, is driving that. And it’s interesting. You’re seeing this tension on both ends of this market. On one end, you’ve got advisors living in the CRM, and there’s a lot of unstructured data that lives there, right? And there’s a lot of opportunity to be able to take action on that unstructured data. But there’s also a lot of action that needs to be taken at a scale far bigger than the unstructured data that lives within CRMs on platforms like Orion or Envestnet, et cetera, that will drive next best action.

Jeremi: So this whole concept of system of action is going to come to a head when it only represents half of that equation. And if I look at the scale of the data, it’s probably a lot less than half. And so unless they’re aggregating data from those systems and factoring that in — which is probably another big conversation that’s going to have to happen between TAMPs and CRMs, et cetera, regarding who’s sharing that data, if they’re going to share that data, what they’re going to get out of that data. Is it bi-directional? And who is going to be that system of action? I question whether or not that’s going to be the CRM, maybe. But again, I view that through a lens — admittedly a very skewed lens from where I just came from. Indeed, yeah.

Craig: And I agree with a lot of that. I see that who the system of record is, is going to be a battle. Because once you’re the note-taker, once you’re gathering all that data, you become the system of record, if you can just store it. And it’s not a big hop, skip, and a jump away from what you’ve got to building out some sort of persistent data store.

Jeremi: Yeah, but then think about this. If they can get their hands on all of the insurance data, the annuity data, the managed account data, the brokerage data, all of the consumer aggregated data — there’s so many of those feeds that are coming in first and foremost at the trading level, not the CRM level. And so how they go about getting that data — if they get their hands on that data, I have to assume that’s going to come with agreements to get the source of that data, the unstructured data they’re collecting as well. And then it’s where that workflow and action is going to live. Are people going to start trading in a CRM? Are they going to continue to do that within the trading platforms or some other experience that may sit at the enterprise level? How that evolves over time is going to be interesting.

Craig: Indeed. Yeah, it’s going really fast. And I think one thing you mentioned was next best actions. And I’m working on an article called the Uberization of Advisors, because that’s what’s happening, right? Yeah, that’s what’s going to be. Right. You’re going to see that because it’s only a matter of time. We’ve always talked about next best actions, but no one can deliver it.

Jeremi: It’s all random stuff.

Craig: Do this, do that. No one’s really following up. No one’s got enough data to validate whether any of this works. That’s all gone. Because we’ve gone from a world — and I’m sure anyone’s thinking about this — but before two years ago, before AI note-takers, every RIA, wealth management firm’s CRM was a big mishmash of random data, some percentage of the information that appeared in the client meeting actually got into the CRM. And it’s some number between zero and 50%. Just guessing. No one knows. But I guarantee it wasn’t more than 50. Because every advisor — you remember Mobile Assistant and CopyTalk, you know, these advisors would go out in their car and talk into the phone to try to remember what they just talked about. So they’re missing stuff. And that’s only a small percentage of advisors. So the amount of data in the CRM was very random and haphazard.

Craig: We’ve gone from a haphazard mix of stuff to 99.999% of everything said being captured. That’s going to completely change the way wealth management firms operate, manage, and the capability maturity model of their business — how they organize it and understand where they’re weak and where they’re strong and how to improve going forward. You’re going to see all this data that says, this advisor is more successful, this one’s not, because he does this, this, and he does that, that. You need to change that, right? And the system is going to know, hey, you need to do this in this order. Call Craig in the morning, he’s a morning person. When you call Jeremi, call him in the afternoon because he sleeps late, right? Whatever that is, it’s going to be at that level of detail, and the advisors who follow the instructions are going to close much more, more deals, more new clients, more wallet share than the ones who don’t.

Jeremi: Yeah, mean, again, if that’s on the note-taking side, that’s a signal universe 5,000 times smaller than what the trading platforms are getting. And you and I have — I’ve showed you the proof on the Envestnet side, right? There is a clear distinction between those firms that are leveraging those next best actions and those that aren’t. It is asymmetrical. But I agree with that thesis, though, that the uberization of advice. I think AI is turning every knowledge worker into a gig worker. It doesn’t matter if you’re a PhD in science or you’re a financial advisor. You’re becoming that.

Craig: And because that’s what’s going to happen, these tools — these Zocks and Jumps and CogniCor and Zeplyn — are going to start saying, hey, do this, call this, use these words, right? Craig is a technology guy. Use more data-related words. Show him more charts and graphs. Jeremi is more, wants to feel good. He wants you to tell him he’s going to be safe and his kid’s going to go to college. Use those words with him. That’s next. It’s coming up that you’re going to be able to do that.

Jeremi: And this is going to underscore your ability to connect with humans effectively, right? To communicate ideas, communicate concepts, be able to influence ideas and decisions. At the end of the day, that is going to be the skill you need as we become more and more meat puppets for AI.

Craig: I know, I know. Yeah, but I wrote a number of years ago about how AI would — this is before generative AI — how AI would be able to level out the EQ of advisors, the emotional quotient, where some advisors are just better at dealing with people than others, right? And those advisors are much more successful than the other ones. But once the AI starts documenting every single word they say and when they’re successful and when they’re not, they can start coaching up the other advisors and raising up their EQ.

Jeremi: Maybe. That’s assuming that those advisors that have low EQ can increase their EQ. Because those with low EQ generally are there for a specific reason.

Craig: Well, if you’re running an RIA or a wealth management firm, you’ve got some advisors that aren’t following the script, you’re going to see that in their output. And you’re going to say, at some point, I’m not carrying you anymore. You need to follow the script. It’s unfortunate, but that’s what’s going to be. Everyone’s saying, no, we’re not replacing people. We’re not going to be doing this. But when the money starts rolling in and you go, well, this is working and this isn’t, I defy anyone to say we’re not going to do that.

Craig: All right. So Wealthbox is at wealthbox.com. That’s another one. Let’s see — the next one is Right Capital. We’ve already been talking for half an hour, so I’m going to have to talk faster. (See AI Agent Build Labs: Transferring Prospects from PreciseFP to WealthBox)

5. RightCapital Smart Import: Can AI Finally Break the Financial Planning Switching Cost Barrier?

Craig: Yeah, we’ll pull off that one pretty quick. Okay, next up. Right Capital is introducing Smart Import, an AI-powered tool to reduce the time to manually input plan data by 70%. This Smart Import feature leverages AI to read data from documents uploaded into Right Capital, identifying information relevant to a client’s financial plan, and translating that information into financial plan inputs. This solution addresses one of the key challenges for financial planners, maintaining accurate and updated information within client plans. I don’t think that’s the challenge. I think this addresses one of the key challenges for Right Capital, which is being able to convert MoneyGuide Pro and eMoney clients onto their platform.

Jeremi: That’s right. That’s right. No, it’s interesting. They’re giving away — wait, it’s so — their Smart Import is AI document extraction and they’re giving it away to the entire industry for free.

Craig: Is that what I’m hearing? Well, I think it’s only to convert from other platforms onto Right Capital.

Jeremi: Got it, got it.

Craig: So if you’re a MoneyGuide Pro client or an eMoney client, you’ll say, hey, you want to move to Right Capital? Well, I’ve got something invested in this other platform, I can’t move. Because in the past, you moved them one at a time manually. Every client that came for the annual review, I’m like, oh, we’re now using eMoney. So now we’re going to make a new plan for you from scratch. And it was a real pain. Now they can say, just give us all the plans. We’ll just extract the data from the PDF files and build it all for you. Instantaneously.

Jeremi: Yeah. Although this isn’t a new story — this has been around since OCR has been popular, right? So I don’t know, maybe the fact that they’ve wrapped it with AI — I don’t think it worked at this level before.

Craig: I think there was never the capability at scale to move thousands of financial plans from one platform to another.

Jeremi: It didn’t exist.

Craig: And this goes back to the thing we were saying before about the SaaSpocalypse, where you used to have a moat. When someone signed a contract and they started using your application, a financial planning tool, they’re building a moat. Every financial plan they create is one more thing they have to move if they switch, and it’s impossible. So that created this huge inertia to switch from financial planning tools. That’s gone if this is working, right? Because I know eMoney has the same thing. And I’m sure MoneyGuide Pro will build something as well. So now it’s like, you move it all over, we’ll have it in a day, we’ll have all your plans recreated. So there’s no more moat.

Jeremi: Yeah. But again, that assumes that these plans are continuing to come in document format, which is a very old school way of this data existing. And that’s growing smaller and smaller every day. Not to say it’s disappeared whatsoever. They’re obviously solving for something. I mean, tax documents, insurance and estate documents, account statements, all that sort of thing is still very much paper-based. But there are many players still in this space, right?

Craig: A list of plan on the tax document side, FP Alpha on the insurance and estate document side.

Jeremi: How that impacts the startups in this space and whether or not it’s a differentiator to allow them to attract business — I’ll be curious to see. It’ll be interesting.

Craig: Oh, it’s all interesting. Absolutely. All right. So if you want to find out more information, go to rightcapital.com. All right. So let’s go right to the next story. You’re excited for the Range story. So I’m going to do the Finny story first. And we’ll do the Range story after that.

Jeremi: Anyway, yeah, go ahead.

6. Finny Launches Hunter AI Agent to Automate Advisor Marketing and Prospect Outreach

Craig: Finny debuts Hunter, a new AI agent that thinks, guides, and acts as a chief growth officer for advisors. So they claim it’s the first of its kind, artificial intelligence growth engine. Hunter’s introduction builds on Finny’s recent $17 million Series A round — that’s nice, cha-ching — and represents an evolution of the platform. So Finny is a marketing platform. It seems like they’re trying to rebuild HubSpot, but just for advisors. Hold on, are we talking — I thought we were talking about Range. No, we’re doing Finny first. Oh, I don’t have that.

Jeremi: I don’t think I have that. I didn’t know we had Finny on the list. Hold on a second.

Craig: Let me just put this in the chat for you.

Jeremi: All right. Sorry about that. That was one thing. That’s all right. But yeah, let’s keep Finny. Let’s figure it out.

Craig: All right, we’ll keep going. All right, so Finny is more of a digital marketing tool. It seems like a HubSpot type tool, and it gets to know each advisor’s value proposition, differentiation, and niche, and creates context-based marketing strategies and execution for them. So there’s a lot of automation that Finny was doing for advisors, as well as doing searches for prospects, looking at data that’s available on the internet — which advisors never had access to before — to say, are they searching for investment advice? Are they searching for retirement keywords? Are they searching for education?

Craig: This Hunter, an AI agent, according to Finny, eliminates the requirement for advisors to be their own marketers by proactively suggesting, guiding, and executing marketing campaigns across channels, creating personalized outreach and marketing content, including blog posts, LinkedIn content, website copy — great, more AI slop — without requiring any marketing expertise from users.

Jeremi: Yeah. All right.

Craig: So what do you think of that? You just read the story.

Jeremi: Yeah. No, I’m hearing it for the first time through you. I think we’re going to just hear more of these.

Craig: This isn’t a unique case study. I mean, VastAdvisor is obviously for this.

Jeremi: You’ve got other marketing automation, marketing solutions in the space that are just being smart about how they leverage AI, and what’s great about generative AI is that it can do this stuff at scale pretty quickly, and so they’re just applying that.

Craig: Yeah, I just see that people are going to be swamped with deeply personalized content, and everyone’s going to know. Right now it’s not personalized, but it’s going to be very soon. All these tools — I work with Michael Kitces on the map every month, and every month we’re seeing 8 to 10 new applications, and more and more AI, and we’re seeing a lot of lead gen prospecting tools. And they all claim, we watch money in motion events, and we’re going to generate personalized outreach to these people. God forbid you have a liquidity event, you better turn off your email for about a month. Because you’re just going to be pummeled with, hey, I just saw this, hey, I got this personalized outreach. Yeah, heard you like sports, boom, boom, a million things. And at some point, it’s not going to work at all.

Jeremi: Yeah, and the whole personalization thing — I think what’s interesting, and I might be alone on this, but it’s clear to me now when I read content that’s AI generated versus not, right? And it’s interesting, because it makes the content that isn’t AI generated far more valuable, far more meaningful. You sit there and you think, okay, this person sat down and thought through this.

Craig: It’s not generic.

Jeremi: And so I wonder whether or not — I’m assuming AI will get to a point where its level of maturation will stop making it sound so cookie cutter. But right now, saying that AI is going to generate all this personalized content at scale, it’s like, yeah, no, that’s what it can do. But consumers are going to read that content and call it out.

Craig: Someone made a funny observation — I can’t remember what conference I was at — they said, very quickly, we’re going to be so overrun with AI-generated slop content that when something’s created by a human, we’re going to call it, hey, this is an artisan article. This was created by real people.

Jeremi: Yeah. It’s artisan, artisanal content. Yeah, that’s right. AI content is going to be so overly commoditized. Stuff that we used to do and take for granted was all of a sudden going to have an increase in value. It’s going to be interesting. I think so.

Craig: So we’re already there. Okay, so that’s Finny, and I believe they’re at Finny.com. They got the .com domain. There you go. So Finny.com. Okay, so now your story.

Jeremi: Range. Let me just stop this a second.

Craig: Okay. We’ll start it again. That way it breaks each one into a separate file.

Jeremi: It’s going to take an hour to process when I shut this off.

7. Range RIA Plans to Replace Its Advisor Workforce With AI — Is This the Future of Wealth Management?

Craig: Okay, now the story that Jeremi’s been waiting for the entire news. Range. RIA startup Range plans to eliminate its own advisor workforce as AI takes over. Range, RIA managing $700 million, plans to eliminate much of its advisor workforce within one to three years as AI replaces their roles, according to CEO Fahad Hassan. “Over time, let’s say over the next one to three years, we’re going to eliminate our own advisor base, or maybe have them work with the ultra high net worth individuals who are going to flock to our RIA” — I just added that — “who no matter how good the AI is, they just want to talk to a person. Our belief is if you are 50 or 60 years old and under, you’re going to be comfortable with AI doing everything for you over the next decade.”

Craig: Range’s website lists names and faces of 26 financial advisors holding CFP and CPA designations. They’ve raised $60 million since last November. They continue building their AI Wealth Advisory Tool called Ray, R-A-Y, which the company says scored 95% on the CFP exam practice questions. Investors in Range include Google-affiliated Gradient Ventures and the 53 Stations venture capital firm backed by the Pritzker organization. All right, so what do you think of this?

Jeremi: Well, I’ve got so many thoughts. So on the whole — start one at a time there, Jeremi.

Craig: Yeah, I’ll start one at a time.

Jeremi: The whole 95% passing the CFP — New York University just did that with every single one of the frontier models just two or three months ago. And yeah, they passed, they all got a passing score in like eight minutes. And if they were allowed to use chain of thought reasoning, they could get a 95-plus percent score in 15 minutes. That’s not unusual. That’s been proven and that’s not unique to Range. I think where this is looking — looking through the lens of an old industry infrastructure, trying to apply that old industry infrastructure to new technology, where the question then needs to be asked is, well, if I mean, I think they have a point.

Jeremi: Let me back up. People with $100,000 to $1 million are in a legitimately underserved market, right? That being said, if people that are 60 and younger are comfortable using AI, there’s no reason to — or I guess the question that Range will need to answer is, if they’re that comfortable using AI, why do they need to come to you? A lot of these families are going to have history with their own AI. It’s assuming that they’re the only ones that have access to AI, and they’re not.

Jeremi: And so these individuals — hell, my identical twin brother is one. He fired his financial advisor because all of his financial advice is coming through his fine-tuned model on his own AI. He didn’t need an RIA to do that. And he’s doing well in that regard. And I think that’s a canary in the coal mine for the rest of the industry. So I don’t think the long-term perspective of this thesis is wrong. I just don’t know if they’re the solution. I don’t know if they’re — I think the clients that they’re talking about can just skip them altogether and just use their own AI.

Craig: So rather than a 1% fee that advisors traditionally charge, Range’s app subscription model offers three annual flat tier fees, $3,000, $6,000, or $10,000. Each offers different levels of financial services across investing, portfolio management, real estate, estate planning, taxes, retirement planning, blah, blah, blah, equity compensation, and more. So that’s an interesting model. Mm-hmm. Anthropic’s release of AI wealth management plug-ins for RIAs and broker-dealers has brought new attention to how AI could disrupt the financial advice industry. Last month, Morgan Stanley cut 2,500 jobs, while FinTech giant Block in February said that AI usage was driving the company to lay off 40% of their workforce.

Jeremi: Yeah, it’s going to continue to happen, right? And I think that those firms with access to data that is generally hard for investors to get their hands on, that can fine-tune models and be there quicker, et cetera, will have a time in the sun for some way, shape, or form. But I think at some point, the frontier models are going to continue to get access to this data. And I think over time — and the AI that exists today, that is publicly available — is going to put all of these competitors toe-to-toe with the frontier models doing this competitively against them.

Jeremi: And so yeah, I think we’re going to see more and more firms that have AI as an option. I think it will be a hybrid for a while, where you’re going to have the high net worth that have the bespoke human interface, and then you’ve got this self-serve that’s being managed by AI, and they’re very comfortable with that because they grew up with that in their banking systems, et cetera. I mean, you’ve got a huge amount of the upcoming generation that has done nothing but interface with AI around their finances. So they’re going to be very comfortable with that, whether or not they decide to leverage an RIA AI or just use their own is the question I still have. I question this business model.

Craig: Not because I think it’s wrong.

Jeremi: It’s just because the technology’s already sort of sidestepped you.

Craig: If you’d like to learn more about Range and their RIA and other services, they’re at range.com.

8. Tiffin.ai Launch: One Agentic Platform to Rule Wealth, Asset Management, and Insurance

Craig: We’ll just blow through that one real quick. And then LPL acquiring Mariner’s $31 billion advisor network, and then we’re done. The first non-AI story. Okay. So in our never-ending list of AI stories, the next one — Tiffin Group announces the consolidation of its AI businesses and the launch of Tiffin.ai, an industry-first agentic operating system. Where have I heard that before? I’m pretty sure it’s not the industry’s first, but it’s one of the many agentic AI operating systems.

Craig: So they’re consolidating a bunch of stuff. Tiffin is a holding company that’s been building out a bunch of tools and launching different businesses and buying some things and trying to build something, which we applaud. Any ideas, any innovative ways to build out more features and more ways that advisors can grow their businesses or be more efficient, we’re all for. So this new platform, according to Tiffin, serves multiple personas, and it’s going to be Tiffin.ai, serving advisors and end clients. Tiffin.ai is the industry’s first multi-workflow and multi-persona platform with coordination across them. Who wrote this? At the same time, firms can get started with single agents for specific personas towards a unified vision. I don’t understand this at all. I’m in the industry and I don’t understand what they’re doing or what they’re saying here.

Craig: Okay. The move comes as wealth shifts from experimenting with standalone AI tools towards integrated systems that can operate across the enterprise. These firms serve multiple user personas and each will rely on its own agentic workforce. The challenge is that these systems cannot operate in isolation, need to span operational and investment workflows, share contacts, interact with one another in ways that reflect how work gets done. Okay. I get that. Tiffin’s early start in AI has placed it at a premier technology position. They’ve allowed it to provide a breadth and depth needed to be a credible partner. Okay. This new single system will be across wealth, asset management. Wait, Tiffin’s AI agents are already in use across wealth, asset management, insurance, and WealthTech with live deployments across all these different things. So I still don’t understand what this platform is. Is it for all those? Or is it just a platform for wealth?

Jeremi: No. The way I’m reading this is — again, some of the things that we were doing within Envestnet, some of the early AI work that we were doing was very point-solution based, right? So it was next best action, or it was workflow related within the trading platform, or it was financial planning related, but they were all separate. In Tiffin’s case, you had AI for asset managers, AI for wealth, AI for insurance. This sounds like a consolidation of those agents under a super agent that’s able to look at all of that data and stitch all of that together in context, versus it being siloed for those different personas. That makes sense.

Craig: “One of the strongest signals for us has been the caliber of early adoption,” said Harshendu Bindal, CEO of Tiffin.ai.

Jeremi: It was already being used by more than 10 enterprise wealth clients, all well-known names in the industry.

Craig: “This traction reinforces where enterprise AI and wealth is heading.” I’m going to call BS on that. I’ve seen this before where they have one of their tools being used, and then they launch something else and go, well, Morgan Stanley’s using our tool. Are they using this or this other thing that you sold them? Well, they’re using the other thing, but we’re trying to sell them this. So they’re not using the Tiffin AI yet. They’re using one of the tools you built that they like for one very narrow purpose. So I’m going to call BS on that. But yeah, it’s marketing. This is marketing stuff.

Jeremi: I don’t know. It could be a legitimate orchestration layer that they’re putting in place above the multiple offerings. And that is legitimate. And it would be smart for them to make that move.

Craig: Well, it says on the press release about Tiffin.ai — Tiffin.ai is an AI platform for wealth, asset management, and insurance. The company builds agentic workforces to augment functions across wealth. It connects systems, data, software, and workflows with the goal of delivering better wealth outcomes for more people. A worthy goal.

Jeremi: Yeah. Right.

Craig: I punted you, fair enough. Any last thoughts on this?

Jeremi: No. All right.

Craig: Tiffin.ai is the website.

Jeremi: All right.

Craig: All right. So, last one. We’ll do Mariner. Oh, I don’t know why we’re doing that.

9. LPL Acquires Mariner’s $31 Billion Advisor Network — Doubling Down on Human Advisors in an AI World

Jeremi: It’s not tech news. No. Well, I mean, I guess it’s tech news in the sense that, especially in the context of this conversation, we’ve got the largest independent BD acquiring human advisor networks at scale — Mariner — as AI companies are saying their human advisors are obsolete. Well, let’s do that then.

Craig: Okay. That’s a way to pitch it. Okay, we’ll do that. Right.

Jeremi: All right.

Craig: One last story with Jeremi before I move on to the advisor tech map and wrap this up. LPL to acquire Mariner’s $31 billion advisor network. Our first non-AI story of the day. This is about people. LPL Financial has agreed to acquire Mariner Advisor Network, an LPL affiliate that supports 367 human financial advisors — I insert “human” there — managing $31 billion in assets from Mariner. Private Advisor Group, in partnership with LPL, will acquire the network’s hybrid advisors and align them under its hybrid registered investment advisor. So LPL isn’t buying it. Private Advisor Group is buying it. I’m confused.

Craig: Through the transaction, 223 advisors will remain directly affiliated with LPL, continue to operate on their existing platform with uninterrupted service for clients and businesses while gaining access to an expanded suite of wealth management and business support offerings, LPL said. The deal includes a transition of 144 hybrid advisors to Private Advisor Group’s hybrid RIA model, where they will maintain their multi-custody relationship and keep operating on the same LPL platform. So what do you think?

Jeremi: You can look at this two different ways. Through one lens, you can look at this as the old world and the new world colliding in one headline — the largest independent BD acquiring Mariner’s advisor network at scale, as AI companies are saying human advisors are obsolete. So either LPL knows something that AI advocates don’t, regarding the durability of human advice, or they’re making an expensive bet on a model that’s about to get disrupted. That’s one lens. The other lens could be very different. That’s a very black or white sort of view.

Jeremi: The other lens could be that it’s both. It’s like, yeah, no, we’re getting this, but the digital exhaust that comes off of this level of scale is important for us in the future of how we’re going to be building out our technology solutions. And having this $31 billion of assets added to already a huge base of assets under management — all of the activity that’s coming off of that scale of advisors is important for us in our long-term goals, and how we’re going to fine-tune our own models, how we’re going to continue to activate data at scale, et cetera. I would like to think it’s the latter instead of the former, but we’ll see.

Craig: So, Jeremi, you owe me a dollar because in the last podcast, you agreed every time you say “digital exhaust,” you’ve got to pay me a dollar.

Jeremi: I will pay you that dollar when I see you at Elevate, my friend.

Craig: And you just said “digital exhaust.” Okay. I did. “LPL saw an opportunity to deepen their relationship with advisors and affiliate with Mariner Advisor Network by welcoming them into our growing supported independence community, one built on collaboration and commitment to advisor success,” said Mark Cohen, LPL Group Managing Director and Chief Growth Officer. All right. So, Private Advisor Group, which LPL made a minority investment in last November, has been developing resources and solutions for its expanding community. And LPL is the group’s primary custodian and broker-dealer. “Providing the flexibility to align the right platform to the right practice needs is a core part of our multi-custodial hybrid RIA offering,” said Private Advisor Group CEO, Frank Smith.

Craig: So it seems like they believe that advisors will be needed for business, and they see these guys not as replaceable cogs, but as something they can use to keep building their business.

Jeremi: Completely, yeah. And there were people that used to make horseshoes that also felt that was always going to be a business at scale, and that obviously changed.

Craig: Are you comparing financial advisors to blacksmiths?

Jeremi: No, I’m comparing them to horse and buggy versus automobiles.

Craig: Good to know. So we see where Jeremi fits in all this. Okay, so there’s a lot of companies we just talked about. We talked about Mariner, we talked about LPL, we talked about Private Advisor Group. You guys can ask your favorite AI about them and learn more. Great. Jeremi, thanks for being here, man. We talked for almost an hour.

Jeremi: I know. This is one of the longest news programs ever.

Craig: I love it.

Jeremi: I appreciate it.

Craig: Hey, well done. Thank you.

10. April 2026 AdvisorTech Map Update: New Apps, Integration Scores, and What’s Trending

Craig: It’s time for my favorite part of the news. It’s the AdvisorTech map and the WealthTech Integration Score. So I’m going to list a couple of the applications that Michael Kitces and I review every month that were added to the April AdvisorTech map, which you can find on kitces.com.

Craig: First up, EquityNav. This application was added to the Equity Comp category. Advisors use EquityNav as a deterministic planning AI layer for equity compensation and concentrated stock decisions. They enter the client’s equity profile dates, holdings, and tax context, and the system routes the case through the correct treatment path by instrument and event type. Then it produces consistent, explainable outputs tied to the underlying assumptions and formulas. We’ve seen a bunch of equity compensation applications launched in the past year or so. The specialized planning section of the map has been growing exponentially over the last few years and equity comp, I think, has got 5 applications now. So we’re getting more and more of those, taxes expanding, education, cash management, all picking up. EquityNav is one of these equity comp applications. It’s equitynav.io.

Craig: Next up, Trusty, which is going to the legacy planning category. The website is withtrusty.com — the trusted way to share your wishes. A single place to organize the plans, documents, and personal wishes your family will need. So this is post-passing. It builds a binder, one secure, organized place with all the plans and documents that your family will need to follow up and take over things after you pass away. So we call that legacy planning. And there’s a number of applications in that area, including EverPlans, Lifesite, and so on. You can find that at withtrusty.com.

Craig: Next up is Epilogue in estate planning. Their website is getepilogue.com. Turn estate plans into your competitive advantage. Another estate planning tool. Upload a plan, understand it instantly, and lead the conversation. It looks like they want you to upload your estate plan and it’ll create visual diagrams, a plan health check, and client-ready reports. So you can find that at getepilogue.com.

Craig: And we have Contio, from my good friend Aaron Klein’s new startup, Contio.AI. Which is a meeting and conversation tool. It’s more than just a meeting note-taker. They’ve got something called Meeting OS that does a lot more than just meetings. It works with you at every stage — meeting prep, intelligence during the meeting, and then follow-through and follow-ups after the meeting. They don’t have bots, they’ve got tools that make meetings and your whole team feel smarter. They’re building a lot of interesting AI capabilities, which you can find on the website at Contio.AI.

Craig: Next up, Finteleon, which is going into investment data analytics, which is a crowded category. Finteleon delivers research depth, portfolio intelligence, and advisory workflows of a full institutional team to independent RIAs, boutique analysts, and family offices without the overhead. So this is an AI-based investment data analytics tool. Finteleon.ai.

Craig: Next up, FiduLink. FiduLink.AI — like Fiduciary, but FiduLink. All-in-one communications super suite for fiduciary firms, providing a seamless AI-powered communication suite, pre-built for prospects and centers of influence outreach with 100-plus hours of pre-built automations and messaging, ready to go from day one, and designed to support true financial pros. FiduLink is a digital marketing tool. It looks like it’s building out marketing capabilities for the different people you’re working with at your firm. They’ve got a whole bunch of different options for tools and pricing at FiduLink.AI.

Craig: We only got one more that was added this month — 8 Figures, with the number 8, which is a client portal. We haven’t seen many new client portals recently. It’s one of the areas not overwhelmed with standalone applications. From confusion to clarity, from clarity to wealth, for a fraction of traditional advisor fees, private and secure by design. They have a mobile app and a client portal. Smart Portfolio Monitoring, financial freedom, Second Opinion — turn questions into clarity. eightfigures.com.

Craig: So that’s all the additions to the map for the April map. If you want to find out the scores of these applications, you can go to EzraGroup.com and click on the WealthTech Integration Score menu option, and you can look these up in the different categories and see how each of these applications line up with all the other applications in their category. We’re almost at 3,000 integrations that we’ve been mapping, and the median WealthTech Integration Score is up to a 4.5 across the entire industry. So that’s pretty good compared to where we were just a year ago. Things are getting more integrated, firms are building up more integrations, and we’re happy about that.

Craig: All right, you’ve reached the end of another episode of WealthTech Today podcast. Thanks for listening. But before you go, head to our website, EzraGroup.com, and scroll to the bottom of the homepage and sign up for our newsletter.