Jump | Tifin Sage | YourStake | BILL | Zocks Communications | LemonadeLXP

Transcription:

Diana Cabrices (00:00:10):

Hello everyone and welcome to the first ever Advise AI demo technology showcase. I am very excited to be here with all of you. I might be a little more excited than most. I just left the city of Tampa, Florida where there's this little hurricane that's coming to decimate practically the whole west coast of Florida to come and be here with all of you. So truly, when I say that I am relieved to be here, I'm safe. I'm excited for this, I truly mean it, but this is not about me. Let's get down to business. What is in store for you today and tomorrow? This is a two day technology demo showcase today and tomorrow we have over nine different AI and innovative technology demos that are going to come right to this stage. Now each demo participant gets eight minutes total to showcase their solution, essentially to tell you why you need it or why you should be paying attention to what they're doing in this space.

(00:01:12):

So that's why we're all here. We're all here to learn to grow, to connect with one another and to see these tools in action. Now first up we have Jump. You ever heard of JUMP? Yes. Alright, yes, you've probably been hearing more and more about this really cool new, innovative technology and I am honored to introduce them to do their demo today. Now JUMP is a meeting admin tool that cuts admin time by nearly 90% from notes to compliance to tasks. It's everything you need. Anytime you get into a meeting with a client or with a prospect, get ready to quite literally jump out of your seat when you see what JUMP AI can do for you. Alright, JUMP your time starts now.

 Tim Chaves (00:02:07):

Thank you so much Diana, and thank you for having us here. I'm Tim Chaves, I'm one of the Co-Founders and the COO of JUMP. Thank you again for having us. I JUMP like Diana mentioned is an AI meeting assistant exclusively for financial advisors. It helps with things like prepping for meetings with note generation, with task assignment and generation and with follow-up communication to clients. I'll show you all of that and we have our standard demo, but I actually thought I'd like to do something a little bit different today to give you a sense for actually seeing jump in action. So I'm curious if anyone out there would be willing to join me up on stage for a 62nd speed run meeting between client and advisor. Anybody up for this? Yes, I saw a hand. Oh, Diana, you want to do it?

Audience Member David Ortiz (00:02:58):

I'll do it, yeah.

 Tim Chaves (00:03:02):

Oh, is that David? Yeah, that's David. Hey David, come on up. Okay, we're going to do this really quickly, David, I'm going to be the advisor in this case and you're going to be the client. Okay? All right. If we could make this mic hot. David, come stand right here. So I just opened the JUMP app. This is our mobile app and I'm going to start capturing a meeting right now. So we're just going to take 60 seconds, be any persona that you would like to in terms of being a client. Now I'm going to ask you a few questions. Is that okay?

Audience Member David Ortiz (00:03:33):

Yes.

 Tim Chaves (00:03:34):

Okay. So we just started this. All right, David, could you tell me about your income or any income sources that you have?

Audience Member David Ortiz (00:03:40):

Yeah, I work for a company and I make about $250,000 a year.

 Tim Chaves (00:03:44):

Okay, great. And what about monthly expenses?

Audience Member David Ortiz (00:03:48):

My monthly expenses are about $12,000 a month.

 Tim Chaves (00:03:51):

Okay, and does that vary at all?

Audience Member David Ortiz (00:03:52):

Depends on what my wife does.

 Tim Chaves (00:03:55):

Okay got it. Sounds familiar. Cool. And any debt?

Audience Member David Ortiz (00:04:00):

No.

 Tim Chaves (00:04:00):

No debt. What would you say your most important assets are?

Audience Member David Ortiz (00:04:04):

My house, which is about to blow away in Sarasota.

 Tim Chaves (00:04:06):

Oh, sorry to hear that. How about retirement plan? What are your goals in retirement

Audience Member David Ortiz (00:04:15):

To live in Florida. But sorry.

(00:04:17):

Sorry, I don't mean to context this.

 Tim Chaves (00:04:19):

It's getting dark. Yeah,

Audience Member David Ortiz (00:04:21):

But regular retirement, the dream of being able to relax, spend time with family and kids and travel.

 Tim Chaves (00:04:30):

Yeah, absolutely. Cool. And do you have an estate plan in place already?

Audience Member David Ortiz (00:04:34):

I don't.

 Tim Chaves (00:04:34):

Okay. Well I have a great reference I could make. I'll introduce you via email. So thanks David. This has been a great first meeting. I'll send you a note to follow up and we can schedule our next meeting.

Audience Member David Ortiz (00:04:44):

Thank you.

 Tim Chaves (00:04:45):

Alright, thanks. All right, let's hear it for David, everybody. Okay, so I'm going to go ahead and submit that meeting. Usually takes a couple minutes after a meeting to see it appear and JUMP, so hopefully we'll have enough time. Just to give you a really quick background on JUMP, we started building this almost two years ago and originally it was not intended for financial advisors, it was meant to be a more generic meeting assistant and CRM update tool, but when we launched it originally we had so many advisors reach out to us saying that's exactly what we need. And last year we decided that we needed to focus exclusively on this market. So ever since then JUMP has been and will continue to be a tool exclusively for financial advisors. And Diana mentioned this, but it's how advisor teams are cutting meeting admin time by 90% while elevating client and advisor experience.

(00:05:43):

And so what we're really hoping to do is what we've heard from so many advisors, we love meeting with clients. The least favorite part of our job is what happens afterward, writing all the notes, figuring out all the tasks, follow up emails and all of that. So let me start by showing you something cool that we do in the product that we call our pre-meeting prep feature. One of the very first things you'll do when you get into Jump is connect your CRM and your calendar. The reason we do that is because we'll watch on your calendar for upcoming meetings with clients and say, okay, there's a meeting that looks like it's David Ortiz for example. It will then go into your CRM into your permanent system of record and find all of the old notes related to David. From there it will use AI to summarize everything that it sees that's relevant and send you essentially what is a one pager to say this is everything you need to know going into that meeting with David.

(00:06:39):

So here's an example of that, of what that meeting prep looks like. And this is totally customizable depending on what you would like to know going into a meeting. So for instance, client goals and what matters to them, upcoming life events, what happened in the last meeting, what's going on in that household? And this is one that we've seen be so useful over and over again. Suggested conversation starters. A lot of times clients will have events in their life, our daughter got married last summer or a pet passed away. Those types of things can both be captured by JUMP in the meeting and saved in the notes, but then they'll come up in future meetings and you can remember what might be a good way to start that next conversation. So let's jump into the actual actual JUMP product.

(00:07:31):

Okay, so we've got a list of meetings here and here's one that took place at 11.16. So I think that's the meeting with David. Lemme see if I can get this and if we don't have enough time, I'll jump into another meeting. So here's what the JUMP interface actually looks like where this is the primary meeting note. You can see that this is not similar to a Zoom AI companion or anything that's generic. It's very, very quantitative and detailed. You can review the entire meeting both using just human review and AI. So if I were to highlight a portion of this meeting, you'll see that a little explain feature pops up. I can click on that and then it'll jump over and show me an answer as to how it justified what this note says with a link to that portion of the meeting. So I can open that up and see that exact time.

(00:08:35):

And I should mention too importantly, this isn't just for in-person meetings like I showed with the mobile app, also integrates with Zoom with Google, meet with Microsoft teams and more. Another important aspect here is the follow-up email. So this is again totally customizable. This is what you might send a client after a meeting depending on how you like to do it. Very simple again, ready two or three minutes after the meeting, you can open it up in your client and send it. And finally these follow-up tasks. So if you've got your CRM connected, very, very simple. The AI will have determined all of this. So not just a static sort of bullet point list of what tasks came out of that meeting, but everything including due date, status, title, description, all of this is editable right in line. You can even choose an assignee from your CRM and then once you've assigned it to a client, you'll be able to sync it straight into your CRM.

(00:09:38):

So that's the gist of JUMP. We've seen thousands at this point of advisor teams join. It's been really, really exciting. We feel like this is a very practical, practical use case for AI and it looks like we're not going to get that meeting with David unfortunately, but this is something that we have felt like gives advisors so much leverage over the part of their job that has been the most painful, which is that portion after the meeting, that 30 to 60 minutes that isn't that really, really enjoyable part of that client meeting cycle, which is meeting with the clients. So if you'd like to find out more about JUMP QR code right here, thank you again for listening and hopefully we'll see you out at the booth. Thanks.

Diana Cabrices (00:10:41):

Alright, amazing job and thank you so much for that demo showcase. Have you ever been to a restaurant where you have this waiter waitress, they appear extremely confident, they come up to your table and they take your order without writing anything down and then they forget something. It almost always happens. Now I'm a type A personality Virgo. Everything I do my whole life is on a calendar. It's written down. So I personally get a lot of anxiety from waiters or waitresses like this. I'll just stop them and say, Hey, I need you to pull out that notepad. But the point that I'm making here is that as humans, we're not perfect. And when you're sitting down for an hour, sometimes an hour, an half, two hour discovery meetings with a prospect or those annual reviews with a client and they're making time to share their life with you, their updates with you, we don't have a lot of room to just forget something. JUMP is that tool that helps you not forget anything as you just saw on the screen. Okay, next up we have SAGE. SAGE is an AI powered investment assistant that acts as a personalized CIO, helping advisors through quick ideation and actionability for each client and prospect portfolio. So we're shifting gears here into more of the portfolio investment side. Always on, always actionable count on SAGE to answer tough questions in just plain English. SAGE, your time starts now.

Andrew Mack (00:12:21):

Good mornings. Oh hello. There we go. Andrew Mack, Director of RIA Sales for SAGE. My partner James McDonald.

James McDonald (00:12:36):

I'm James McDonald. I'm a VP of Product at SAGE.

Andrew Mack (00:12:39):

So organic growth is a major focus for basically every advisor out there. Like I'm sure sitting in the crowd. It's a focus for you. The issue is as your practice grows, can you still keep with that high touch personalization at scale? So let's say you have a hundred clients today, can you deliver that same ability to have that connection as you scale up to 200, 250 clients? This leads me. So at SAGE we're laser focused on really trying to empower financial advisors to do more insights, more client engagement, more personalization and client portfolios, more engaging content for them to converse with you and ultimately leading to more asset growth. So I'm going to use four unique features to set the stage. Kind of explain how SAGE become the industry leader in AI for wealth management using the acronym more. M-O-R-E stands for market insights. So macro research is everywhere.

(00:13:52):

Viewpoints commentary in markets is there's more than you could read, but the problem with all of that research and commentary is it never comes back to actionable actions to your specific client or client base book of business. So what we've done is create a platform that translates digests and interprets the research that you care about to actually have those real personal insights for your book. And again, we provide answers enabling you to have more meaningful, frequent, impactful conversations from the top down across your entire book down to the individual client level. So the first thing we're going to go through, James, you and I just received some market feedback about China that was not the best. So what I want to know is what is Fidelity's viewpoint on China? Immediately SAGE's answers are curated from a simple question. You have a summary of Fidelity's explanation of China and the bottom link right there is the actual article that that information was harnessed from. So we have this information, James type in which clients have the highest exposure to China because this is obviously the clients I need to spend attention and time on.

(00:15:22):

Again, simple English, you have your answer. Now this is a problem. Martin Enderle has 12% of his portfolio specifically correlated to China. James suggest alternatives for Martin's portfolio to reduce his China exposure, unless time that it takes to pour a cup of coffee. I've explored research views in China. I've identified which clients are most at risk from that updated viewpoint and I was delivered actionable alternative investments to mitigate Martin's portfolio risk due to his China China exposure. Again guys, I did this in 30 seconds. So the second letter in more is o. O stands for organize and unify your data. Think about if you don't have SAGE, the manual processes of trying to explore investment options or give the China example or look, you have a client meeting on Friday with a client, she has three or four topics that she is hammering you about that she really wants to dig deep.

(00:16:45):

How would you do this? You would be jumping across your investment research tools, your portfolio management system, maybe a stress testing platform. Again, all to take care of one account. SAGE integrates with all of these different features and tools and platforms to actually use an AI interface that is conversational and there's no learning curve at all. So this simplification is going to accelerate decision making and it's going to highlight specific data insights that right now are available to you but they're hidden across different tech stacks, vendors, various data silos. So let's go through another example with Anna. I have a client, Anna Stone. Anna Stone is coming for a meeting on Friday. She mentioned being concerned about the market. So SAGE can help you prepare for that meeting in much less time with a lot more insight. What is Anna Stone's risk and return? Again, question and answer in seconds. My follow-up is again, she's concerned about a market pullback. How would a 10% drop in US equities affect Anna's portfolio?

(00:18:11):

Very quickly I can do a deep dive to understand Anna's expected return, her risk, understand what's actually working, outperforming in a portfolio and what's not doing well. And I can uncover talking points to either reassure Anna that the outlook for a portfolio as we navigate it is still intact, but if I do need to make some type of replacement, I have next best actions through your firm's approved investment list curated in real time. So the next thing I want to get through is R. R is just risk reimagined. Now everybody, every person, every family looks at risk differently or depending on circumstances, you'll feel differently about the risk of that given situation. What we can do with SAGE is tackle risk holistically using really it's a two-pronged approach of risk preference, risk, capacity, and also have the ability to future test certain market scenarios or life changes in a client event. So let's go through a scenario with James with clients outside of their risk compliance band.

(00:19:32):

So without any work I simply type in a question, I immediately identify clients that either need to be rebalanced or spoken to about their portfolio because their risk preference and their risk capacity is not the same. Click on let's do Molly core, show me Molly core's risk assessment. And what I'm going to do with this going to blow you guys away. So risk preference 15, risk capacity 18, 33 is our current portfolio score. I'm going to use this to come up with the next best option using models and you can use models from outside providers, fidelity, WisdomTree, whatever it is, or you can actually upload your own firm's internal models into the platform to curate that answer. So James generate a proposal for Molly core using the forest advisor's moderate model portfolio. Proposal generated and this gives you a side-by-side breakdown of her current holdings, her current portfolio, all of those metrics as well as our recommended portfolio of the forest moderate growth.

(00:20:55):

And also notice what did that do by simply asking the platform to find the best model, replace her back in her proper risk band. Guys again, this took me 20 seconds. The last and final pillar is E. E stands for end-to-end client experience. So whether you're starting with your own questions you want answers to or beginning with client questions that they're sending out to you, working with a current client for an annual review or trying to land a new prospect with some type of proposal you're generating, we're able to actually in real time take that data, spit out the best answers and do this in a single interface versus you guys spending four to seven tabs in three hours of work just to find out answers on one client with one situation. This is done at scale in seconds. So as we wrap up, I'll challenge you with what I want you to know, feel and do. Next I'd like you to know SAGE is focused in helping the advisor world get more insights, more personalization, more engagement, and again, more asset growth. And what I want you to feel is just comfortable knowing in an AI copilot is safe. It's not going after your job. We don't see that replacing advisors anytime soon, but we're very confident the best performing advisors are going to use AI to streamline their business, their workflows and allow them to maintain that high touch, very personalized portfolio approach, but at scale.

Diana Cabrices (00:22:36):

All right, we have to boot you off at some point. There's so much goodness though, thank you so, so much. Give it up for SAGE one more time. I loved everything about that demo. I think we're probably all just as mind blown and it's almost like having some cat whisper on speed dial. This is next level stuff. As financial advisors, obviously you have to be experts in your field, right? But you don't need to know or keep up with everything at all times and that is truly why tools like SAGE have been developed to make you more productive and to make you smarter. Also to give your clients more confidence that you're not just going off your own thinking because AI is a collective brain for all of us. And so we're sort of leaning into this almost second brain as a client of a financial advisor.

(00:23:31):

I find that exciting. I find that to drive more confidence between me and my advisor. So great job SAGE. Okay, up next we have BILL. BILL is your financial operations platform. With BILL, you gain an intelligent way to create and pay your bills, of course, send invoices, manage expenses, control budgets, all the fun stuff that we all love doing in here as business owners. You can also access the credit your business needs to grow all from one platform. So BILL, show us why we need your platform in the next eight minutes. Your time starts now.

Landon Creer (00:24:11):

Perfect. I am just where, sorry, I'm trying to find, I prepped on another podium. We got switched up.

Presenter (00:24:22):

We have to go through this up. You want to take him to other safe?

Landon Creer (00:24:30):

Should we? It's not coming out. No, it's not coming in. I just can't find my,

(00:24:43):

It's extending the display.

Presenter (00:24:44):

Okay. Oh he's that, but I need that just you open your webpage.

Landon Creer (00:25:03):

Alright, let's see. All right, I can watch it from there. Cool. We don't have it on here, but this is going to work so we'll keep it quick. We'll keep it simple. Cool. Products today, pretty amazing stuff. Bill has been around for a long time. 2006. So before this AI craze, this AI wave, all that stuff in that sense, we've been building, we've been learning, we've been kind of watching products come out. So today what I'm going to show you won't have as much AI as some of these other products that are brand new, but what I can talk about is where we're headed, what we will have and what we can do for you today. But what is Bill? If any of you have been in a position where you've had to pay a bill for a client ever at any point in time, which maybe you have, maybe you've been asked, maybe you've avoided that issue, that paying a bill can be annoying, whether that's one bill or multiple bills.

(00:25:58):

There's a lot of issues that go into that. You might have to print a check, you might have to get a signature from the client, you may have to get access to their bank accounts, things like that. Especially in certain spaces where you may not want to trigger custody so you might just stay away from it completely. All of those annoyances with paying bills, we pretty much take those away. So I'll dive into the aspect of AI that we do cover that we currently have in our platform, but also kind of touch on what we're doing and how we're going to continually improve upon that for firms like yourselves and to be able to better serve your clients first and foremost to get into it, this is what we call our management console. This is where you can manage an unlimited number of clients that you would like to manage so there's no limit here. It makes it incredibly convenient to manage all of your different staff members, allow permissions for different client accounts, different entities. You can group things into different you can group if you managing a family with multiple entities or a single client with multiple entities, you can group those together into a single place. Makes it really convenient. What I'm going to do though is I'm going to dive into an actual company over here or an actual entity and we're going to go through that process.

(00:27:13):

First and foremost when you get into this is a particular entity, it's one company entity, however you want to think about it. This is your dashboard, this is your overview screen, how many bills need to be paid, if there's anything that's going needed to be received coming in, and this gives you a quick overview on the left-hand side. You're going to see a bunch of different things over here where I want to dive straight into as our inbox. The inbox is where the majority of the AI takes place currently. This is where the machine learning is currently available within our software and what it's going to do, this serves as unlimited document storage where you can receive any type of bill for your client. There's a mobile app where you can take a picture, you can upload it that way, you can scan it, you can email it to a dedicated email inbox that every bill account receives.

(00:28:04):

It immediately has duplicate detection. It'll allow you what you can see right there. It'll let you know that it will pick up a handful of different things. If it's got this lightning bolt next to it, it means it's read that bill. Once a bill comes into this inbox, it's going to start reading and pulling off relevant data immediately. Now the inbox can be used for different things like W nines for contracts with vendors, things like that, and you can store those and attach those to your vendors. All of this is syncing by the way, with an accounting software of your choice. We sync with pretty much every major accounting software. So there's all this information is going to go back and forth so you can keep it in a single place if you are ready to enter a bill, which, let's see, let's not enter a duplicate.

(00:28:44):

That's not one that I want. Let's grab this one down here. If you're ready to enter a bill, you're going to go ahead and click on enter bill. From this screen here, you're going to be able to see what relevant data that it's already pulled off where it's highlighted with these green sections here. This is not an existing vendor, so it hasn't picked up this vendor within the system. You can easily add that vendor very quickly by selecting add new vendor. And from there you would go down to this section here where you'd be able to enter the amount, the bill description and things like that. But I'm going to jump back into one of our other bills on this demo account and I apologize for having to look down at this screen over here.

(00:29:30):

I'm going to go ahead and enter this bill from here. One of the other really nice things about this software though is that if it doesn't pull off information that you need, so right here it's got multiple line items. You can easily just go ahead and click and copy anything on these documents. That's going to pull up certain accounts that will automatically pull into there any of the relevant information here. You can click and capture very easily if you want to put that into this section. It happens just like that. So from there, once this bill is ready to be entered, you do have to enter the line items currently. That is one aspect that it doesn't pick up the amounts on individual line items currently it will in the future, but there are certain aspects of our machine learning that we are currently building advantages of our machine learning capabilities.

(00:30:19):

We do process 3 million PDFs a day and we have been doing that for about several years into our machine learning and our AI software. So it's been learning, it's growing, it's going to be a pretty robust solution once it's fully rolled out. But given our history and how old we are in this space, we want to maintain the trust of all of our clientele. So from this section though, once that's good to go, you're ready to create this bill and it's going to be sent off to approvals. Our approvers can be added manually here if you do have approval policies that are already built out from there. If you were to select certain line items, it might require certain approvers to be added to this bill. This one automatically has Jeff added because of this category of marketing. I'm going to go ahead and add myself as well.

(00:31:17):

Sorry again, I don't have the best vision everybody. That is not one thing my astigmatism gets me, so when it's far away, but so I'm going to go to add myself. I'm going to rearrange that order. I can't remove Jeff as an approver. It will be required. I'm going to go ahead and create this bill though. We're going to go ahead and click continue anyway, and from this process here, then you would go into approvals and you can quickly see which bills need to be approved. It's a very easy process. You would click approve from there. Once it's approved, it's going to go into a bill pay queue if you wanted to get deeper insight into these bills before you approve them. Most people, they separate these duties across different staff members, so they can easily do that. From there if you want to pay those bills, you go into an unpaid bills queue. This is going to show you all the approved bills that are ready to be paid.

(00:32:12):

From there you can select all of them. You can select a few of them. You can select which bank accounts you want. So you can have unlimited bank accounts on any entity that you would like and you can choose which bank accounts you want those to be paid from. You can bulk update the process date if you would like, and it will also give you an ETL when those payments are going to be arriving. From there you would click review and pay. It's going to take you to this payments queue and after that you are done. It's going to sync back over to the accounting software. A really nice thing about BILL as well, one we are SOC one, SOC two compliant, but we also have our money transmitter license in all 50 states. So you don't have to leave the software to manage any of this money movement. It's all done right here. You can void, you can cancel, you can keep up to date with all of these payments from a single screen. And that is really what I wanted to cover with you today. Thank you for being here. If you would like to talk more, you can find me at the booth or my colleague Thomas in the expo hall. Thank you so much.

Diana Cabrices (00:33:17):

All right, great job BILL. Now my fiancé is a financial advisor and we both work from home. So there's sometimes that moment where I come up to him and I say, Hey, can I give you some unsolicited advice about what I just heard on that phone call or something? You can do a little bit better. He loves when I do this guys, but one thing I can tell you is he does have a few clients that will come to him and they're like, I need you to pay this bill. And it's almost always something very urgent and so I just appreciate what we just got to see today. No, it's not fun. No, it's not sexy. It's quite overwhelming to be totally honest, but it is necessary. So thank you BILL for that demo and I will tell my fiancé about your tool. Okay, up next we have Zocks. Zocks is the AI meeting assistant built for financial advisors. Zocks automates meeting prep takes detailed notes from virtual and in-person meetups, captures action items and drafts, client follow-ups. But all without recording client conversations. So Zocks your time to shine starts now.

Steven Latow (00:34:28):

Thank you very much. Let's just get this rolling if I can see how to expand it. Alright, my name is Steven Latow. I'm the Chief Operating Officer at Zocks and we formed Zocks about three years ago and the hypothesis was simple financial advisors spend a ton of time on operational burden and on compliance and the way they make money is not on either of those things. It's by servicing and growing their client base. So we started with building on this hypothesis thinking, what are the facts that we can remove from the financial advisors day-to-day life that would help them service more customers and help them spend more time doing what they do, engaging with clients? What does Zocks do? So what we're doing is we're listening in on client conversations. We're going and we're capturing the data all without requiring recording, but then we're actually structuring that data.

(00:35:21):

So not only are we giving you a meeting summary, not only are we helping you with prep, but we're actually going and building out a family tree that aggregates over time. We're grabbing facts that impact their financial plan and they're grabbing tax events. All of this is both available in system. We can report on it in system, but also is backed by a fully functioned public API that we're now integrating with both proprietary as well as the main players on backend systems to automate deep workflows across the client base. We integrate with all the regular patterns, your Zoom, your teams, your meets. We also support in-person meetings and again without requiring that you actually record the audio from these, you'll see that we go and automate the quick follow-ups. So this is a follow-up email written in your voice and tone. It's grabbing your follow-up tasks that can initiate either tasks or workflows within the downstream CRMs as well as highly customizable financial summaries.

(00:36:14):

And then we also again provide that structured data via public API, so that you can go and trigger workflows in downstream systems. This means deep integrations with things like Salesforce where not only are we grabbing the interaction history, but also building out a family tree highlighting opportunities and triggering workflows for the team. We'd like to jump into a quick demo of what it actually looks like. So this is your application and what you'll see is that coming out of a meeting within 90 seconds you'll have the results. These can be whether it's a suitability call, whether it's an annual review, whether it's a quick check-in, you can actually have different templates looking for different data. You're going to first get your summary narrative format. So this is what are the recent changes to the client, what are the things that were discussed and what are the things that we want to save over to the CRM system?

(00:37:01):

We're going to pay special attention to what we call talking points. These are things that they're excited about or worried about, things that you want to make sure you're bringing up in the next meeting. You can save all of this over to your CRM with one click. You can also use our conversational AI to go and adjust the results or to ask questions about the client. But we're not just doing that. We're also going and structuring the data to allow you to go and trigger those workflows. So we're grabbing future meetings, but then we're building out these profiles. So what are the financial facts about this client? What are the recent changes? Did they have an income change? Did they get married? Is there something going on in their life that might impact their financial plan? Again, by structuring this data and having it available via different tables, it lets us have deeper integrations across the ecosystem.

(00:37:47):

Finally, how do we use that? So what we'll do is we'll sit on top of your CRM. We're working on expanding this to include financial planning softwares as well as your email provider, and we're going to go and build out client profiles. So within our meeting prep we're going and saying, what were the things we talked about last time? What were they worried about? What are the things we need to make sure we bring up this time? And then actually asking, let you ask questions. What the conversational AI then does is it's going in looking at both the information in Zocks but also the information in the underlying CRM. A lot of you have your emails going to CRM, you have your text messages going to CRM. If they bought a car, they might not schedule a meeting to talk about it, they might text you, but you need to make sure that you talk about that in the next meeting.

(00:38:27):

We're going to highlight those recent changes that gets you around the meeting life cycle. But then we heard feedback from a lot of advisors that are like, yeah, this is all great, but we actually spend a lot of time keeping different systems up to date. So we went and expanded our CRM integration to actually go and look dynamically at what fields or data points do we know about the client, what is new information from the meeting and being able to feed that downstream. So if they have one of those income changes, if they have a job title change, any of those fields, no matter what the CRM looks like, we can dynamically generate them in smart match to it. We'll also go in smart match to workflows. So not only copying over tasks, but also what are the things that are in progress for this client and initiating a new workflow based on the conversation all from one application.

(00:39:17):

What this results in is an experience where the advisor has their single pane of glass into all of the information they need to know about that client. Meanwhile, the administrative team, which can get access to all of this data, it can go and query past records about the client can build out profiles, can go and send email updates, can get everything over to your CRM, can go and get the information without having to ask the advisor for specifics. In the event that they do need to ask the advisor for specifics, which I'm sure never happens after a meeting, you can actually leave comments in system and tag the advisor, get notifications back and forth and interact on what the follow-ups are. So where are we heading? We spent a lot of time building out this architecture and doing more than just summarizing meetings. By structuring the data, we actually know recent facts about each of your clients.

(00:40:05):

What that lets us start to do is provide business insights into your whole book of business. I was just talking to an advisor who's in Illinois, the custodian for the 5 29 plan is changing and he goes, I was going to have to have my admin spend multiple days going through our CRM instance figuring out every single person that was impacted by this. Is there anything you can do? So we actually worked with our engineering team to go look at how can we report on this with simple queries like who has a 5 29 plan that is in Illinois that we have not talked to about the change and we're able to provide that data. We're now productizing that, going to release it at the end of the year to give you a book of business insights tab. So not only being able to ask questions about a specific client or a specific interaction, but getting into the tertiary data, what is something I need to know, maybe just this once about my whole book of business to go and make something that used to be really painful, really easy. What's the result of this? It means more time with your clients, it means less time going and working with the admin team to figure out prod insights to comb through disorganized data and more time getting to go and action things to go and take on more clients, grow your business and do the things that you like. That's the main stuff I wanted to get through today. Thank you so much for your time. We are at the booth. Come visit us.

Diana Cabrices (00:41:22):

Alright, wonderful job Zocks. Thank you so much. So we've now gotten to see two different meeting AI tools and how they can make you more productive and cut your meeting time, your meeting admin time by a significant portion. Sometimes as financial professionals it can feel like balancing all this data that you have all the time from what your clients are telling you, what your prospects are telling you to what your operations team is asking you to do. It's like you're almost like this circus performer and that's not what you signed up for. So again, having tools like this that can help you be more productive, it is becoming more and more vital. Not to mention the fact that it all flows into the CRM, that to me personally is very exciting. Having worked with a few CRMs in this space time and time again, the struggle that I heard from financial professionals was actually getting that data from these meetings in a CRM, but not just getting it there but getting it there in a smart and fashionable way where there's tasks where there's compliance items, everything organized. So do check out the booth with Zocks. Okay, up next we have Lemonade X LXP. Sorry about that. I do love the lemonade portion though. So lemonade LXP is a purpose built to help financial institutions and fintechs drive digital adoption, fluency and growth. Turn staff into digital experts, support digital customers and maximize the ROI on your tech investments. This is really important stuff. Lemonade X-P-L-X-P. Please tell us why we should drink the lemonade today. Your eight minutes starts now.

John Findlay (00:43:05):

Sure, so yeah, so we're constantly innovating and we've been a digital growth platform since 2018. Worked with about 90 financial institutions, big guys like US Bank, Santander, national Australia Bank and small guys, little credit unions out of Boise, Idaho kind of thing. But we've recently morphed into a knowledge and support platform because we added a couple of key elements. So I'll just go over and show you the various, the three parts of our platform. So the first piece is a learning experience platform that's specifically designed to teach staff about your products, your services, your digital capabilities, and you'll notice that it looks like a game. It's built in the image of today's most addictive mobile and social games because folks at financial services companies associate training with compliance. So they won't do it if it isn't fun. So we made it fun. So you can see here I've got 81,000 investors and my assets under management a couple million.

(00:43:58):

My goal is to grow my number of investors in my assets under management and I do that by taking training. The sole purpose of this booster game is to drive engagement and get people to come and play and it does a wonderful job. Once they're in, there's a bunch of courseware they can take and I created this one just as a demo. So this first piece is an introduction to the course and I don't have audio, maybe I can lean in and maybe you'll be able to hear it, but I took some information from t Rowe Price's website and I put it into our engine and it generated. compelling

Video Presentation (00:44:30):

Reasons to add actively managed funds from

John Findlay (00:44:33):

That guy. That's AI generated, built in less than five minutes and it introduces the funds. The next piece is some game-based learning to establish that the learner understands. So often that's done with long form content. What Lemonade does is has multiple engines to morph your content into game-based learning. And so here you have to actually read this stuff and identify the mistakes in the content and when you do so you fix the mistakes and you get a rating. If you do really well, you earn more investors. If you do poorly, you lose investors if you lose. And that's what motivates people to take training multiple times and master the content. Here's another example of game-based learning, again generated with AI and I'll show you how we generate it. This is a crossword puzzle and it's all generated with AI by simply pasting in copy. I'm not going to try to solve it, I don't know anything about this stuff and I'd embarrass myself.

(00:45:32):

The last piece is we want our staff to understand how to use our technology, so eliminate as the fastest tools in the world for creating walkthroughs of any software or app. And this is done with our rapid authoring tools and it creates two versions. When you author a walkthrough, the first piece is a guided tour and if you've ever been guided through anything in your life, you often turn your brain off. So the second time you go through it actually morphs it into a game. And so now I got five lives and I got to figure it out. If I make a mistake, I lose a life. If I do it right, I go to the next step in the process. If I make too many mistakes, I got to start over and that's how we drive fluency. So that is a very quick tour of the learning experience side of the platform.

(00:46:13):

The next side is a digital adoption platform. So you can take those technology walkthroughs, lift them out of your learning experience platform and put them on a branded, searchable WCAG compliant hub that staff can use in the flow of work when they forget how to use your tech or they're trying to adopt some new piece of technology. When you create one of these, it creates two views. First few is for internal, you have to be logged in to see it. So it will have some external facing technologies and some internal facing technologies providing assistance on how to use it. If it's external customer facing, you'll see it has a little email button so I can email it to customers to help them solve problems when they have any problems. So that's the first view. The second view is public facing, so it would just be end users and this is teaching end users how to use your tech and supporting them when they have questions.

(00:46:59):

So that's the digital adoption platform. As I mentioned, we work with about 90 financial institutions who are being pushed into wealth, pushed into insurance, pushed into mortgage. So this is kind of a new world for us. So the examples you see are more banking focus, for example, that's US Bank. Okay, so those are two of the sides of the platform. The magic of the platform lies in its authoring tools. So I'm going to quickly show you how easy it is to author a walkthrough first of all. So I'll search for mobile screens. First screen I want is the login screen. All I do is drag and drop over the field. I want to add the guiding text and I would write, maybe enter username, but because I'm a terrible typist, I'm not going to enter that. I'm just going to put some stuff in and then I can auto text, I might write John Doe in there.

(00:47:43):

And then for login I might write tap here to continue. So again, I'll enter some gibberish so you don't have to endure my terrible typing. The next piece, I grab the next screen in the flow and I would add a little bit more guiding text. I might write nice work. So as fast as I can select screenshots and type Lemonade will build that walkthrough. And here is my awful typing in the real world and it not only builds this version, it builds the game-based version. So it builds both versions in a matter of seconds. That's one piece of authoring. The next piece, I'm going to author a crossword puzzle in front of you for game-based learning. What I did was I went to a website to grab some information about KYP and I dumped it in here and I'm going to go generate words and hints.

(00:48:29):

So the AI authoring tool is going to read this, consume it, and that quickly generate my words and hints. I would moderate it, but for the purposes of this demo, I'm not going to, I'm just going to save it and I'm going to show you the game in the real world there. It is built. And again, we don't want to highlight my lack of knowledge, so we're not going to play. So that is how fast it is to use AI to author game-based learning content technology walkthroughs. The latest piece of our technology is an AI powered knowledge base. What's unique about it is that financial institutions have big concerns about privacy and about risks. So there's a battle going on between risk and between the CFO who's saying, give me the operational efficiencies of ai. So we worked with our customers to understand what we needed to do to allay those risk fears.

(00:49:19):

And what it is, is it's a private knowledge base that can be invoked at a click of a button. It lives in AWS, it is behind a secure login with multifactor authentication. What I can then do once I've fired up a knowledge base, I drag information here in any format. It could be a PDF, could be a spreadsheet, you name it, you dump it in and AI will read it and understand it. So then for your staff who have questions, they can come here and go ask AI. So I'm going to say which fund projects best return over the next five years. So I'll click that and it's going to read, I dumped in some funds from t Rowe Price and it's going to read the analysis of the reports on those funds and it's going to give me some advice on where I might want to invest.

(00:50:11):

It takes a couple of seconds because we are on the cheap AWS platform because the expensive one's 300 grand. So here's the answer and it's basically telling me which of the funds is returning best over one year, best over five years, and it's reading that stuff and synthesizing answers. And if I have documents from multiple sources, it will read all of the sources and provide that information. So that is, I'm just about out of time here. So that's the lemonade knowledge and support platform. We have a booth with a big green screen and just a lemonhead. We're hopeful that you come and have a chat with us. Thank you very much for your time, appreciate it.

Diana Cabrices (00:50:58):

Great job. Okay, I just learned something LXP learning experience. Okay, this is why we need ai. I had no idea. I literally just learned that today. Thank you so much, Lemonade. One more round of applause for Lemonade LXP. Okay, so we've all seen the outrageously growing FinTech map, right? There's new tools being introduced all the time. You're seeing some of these new tools right here from this stage today. Certainly as this continues to expand and you shift gears, maybe you are using one different technology, but now you're going to move into a different one. This is going to continue to happen folks, and so having a tool that can easily and quickly train your staff, train your team, I mean it's golden. So I'm super excited. Go ahead, be sure to see them at the booth. And up next we have YourStake. Now YourStake is an integrated wealth management platform powered by transparent data from over 300 sources and AI empowered insights. It allows advisors and asset managers to personalize at scale, enhance client relationships and streamline decisions. Now you are last on this stage, YourStake, but certainly nobody here is leased. So whenever you're ready, your demo can kick off.

Gabe Rissman (00:52:33):

Excellent. Hi everybody, I'm Gabe Rissman. I'm the Co-Founder and President of YourStake. YourStake is a company that exists to help you build better relationships with your clients and to help you grow organically by reducing all the frustrating time with administrative and manual tasks. First, even before I start, I want to thank the Advise AI team for being really accommodating and for putting on an amazing event. So your stake provides three ways to be able to help you save time and be able to help you reduce the manual entry that you have to do always. The first is our flagship proposal generation and document extraction product. So this is something that's used by clients like you see on this screen and what it does is it allows you to take a prospect set of brokerage statements, upload them into our system, no more manual entry.

(00:53:33):

We pull the data out and automatically generate a proposal. The key part of why this is really helpful is that it saves a ton of time in the turnaround and actually we found increases prospect to client conversion by 20%, 20%. So that's a really, really cool correlation that you can know is the faster that you provide your service to your clients, the more that they enjoy working with you and the higher likelihood you add of converting and growing as well, not just saving costs and time. The second is a meeting notes tool and a generalized document extraction tool. These are tools that we're actually rolling out this month and I'm really excited to show you what it all looks like altogether.

(00:54:21):

Great. So I just had a meeting with my client, Jeremy Thomas. Jeremy is 36. Jeremy filled out a risk questionnaire and a values questionnaire. And after my meeting, this should be a pretty familiar flow for you, but at this point we're trying to bring it all together. So obviously we can connect with the meeting recording, take that transcript and pull it into a meeting summary with key information, more information, next steps. And you see a list of tasks that can sync with your CRM as well. The first two tasks that we see in here, prepare a comprehensive investment proposal and initiate an account opening process. These can be really time consuming tasks and what I'll show you next is how our document management workflow can take these tasks from your CRM, from your notes and allow you to then take action immediately. So next we're going to go to documents and what we're going to do is whenever you have a client or a prospect and you want information from them, a lot of times advisors will have a checklist.

(00:55:27):

I need this, that, and the other form. And what you're able to do is start a document collection checklist. So we have a couple of top checklists that this particular advisor has used multiple times, or you can create a new checklist where you can actually select which forms you want to request from your clients. Right now what I'm going to do is select these two because again, the tasks that came from the meeting were to create an investment proposal and to open an account. So I'll select these documents and what we can see is the information that could be requested and required to be able to actually fill this information out. Now we have a way for you to send this checklist to your client so they can upload and if they upload the wrong thing, it can show them in real time. Hey, it looks like that document classification isn't quite correct, but for the sake of time I'm going to go through this if the prospect had sent you the advisor all the information that they need.

(00:56:22):

So next I'm going to go into proceed to document upload. What we have, I'll just show super quick, is we have the account opening form. This should look familiar. We have the account statement. This should look familiar. It's got a bunch of holdings and instead of needing to manually enter everything, what you can do is just click to upload and we'll select all these documents and it's now going to process and classify these documents to be able to complete the checklists. So here we go. We have the account opening form, the passport and the brokerage statement, and we can now move on to fill out the form the Schwab CAT opening form using the information from the brokerage statement and the passport. So we're going to use personal information from the passport contact info from the brokerage statement. Employment information was not included in the forms that were uploaded.

(00:57:15):

So we can manually enter that and we can download this prefilled PDF. If we go to my downloads, we're able to see now that here we go, we actually have some information already filled in. That gives me a head start from the information that was collected. The other thing we can do is we got the brokerage statement. Now I'm moving on to our flagship tool. That really again, helps you win prospects and increase your conversion rate. We can click to create an investment proposal and what we're able to see is let's just search for that portfolio. We're able to see that we have this statement that again was uploaded. We can download all of the holdings from the upload and we can see the symbol/CUSIP, the name, the quantity, the cost basis, market value, expense ratios, security type, the account. Let me just pause right here.

(00:58:11):

What we just did is we took a manual entry process that can take hours of getting holdings data from a brokerage statement, and we have that loaded in automatically in the matter of minutes. So that's something that we can use for whatever purpose we want. We can also now generate a proposal. So I'm going to select a risk tolerance level. We have a risk questionnaire, but I'm just going to go aggressive. That actually was already in the Jeremy Thomas profile. We'll select some values as well. So again, planet protector and Catholic values were the values that this particular client had. And we can actually, now, instead of comparing this statement to the s and p 500, we can load in our best fit of our model portfolio. So let me make that clear. You have a bunch of portfolios that you've created, that you have access to, model market, whatever it might be.

(00:59:01):

You can load those into our system and our system is able to find the best fit based on the risk, the values, minimizing the tax transition cost in moving from portfolio A to portfolio B. And we can see that the sample aggressive environment focused portfolio is going to the best match for this particular client based on portfolio similarity and then matching up with their risk and values. So I'm going to breeze through this last part. I was a little too long-winded at the beginning, but what we can do is first we have a tax transition. We're able to see the portfolio as a $3.7 million portfolio. If we were to fully move into the proposed portfolio, it's a hundred thousand dollars tax cost today. If we don't want to pay any taxes, net out the gains and losses, we can transition 12% of the portfolio. And then you can be interactive and set your own budget to see how much of the portfolio you can move over to be able to go from portfolio A to portfolio B.

(00:59:59):

And then we have a whole bunch of analytics on risk alignment values, asset class returns, volatility. Please stop by our booth to see everything in detail. Everything also has click through. So where do we hold Apple within our portfolio? We can see what's going on. Fees section, the ability to customize the report presentation, and then you can export this everything into a PowerPoint. And I have one second left, so I'll just show the PowerPoint right here. And there we go. All the information that we needed and methodologies at the end. So to recap, you have a meeting with your client, you get the meeting notes, it has tasks for uploading documents, and now you can automate that document upload process to fill out account opening or other forms and to be able to generate proposals to better win prospects and save you time. Thank you.

Diana Cabrices (01:01:05):

Alright, as we come to the close of this amazing show, let's give one more round of applause to all of our speakers today.