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Redefining Wealth Management | Citi Wealth at AIPCon 7

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0:02

Hey guys, uh good afternoon. Hard to top the  Shelby, but I'll do my best. Uh three things

0:07

before I get started. One, I joined City Wealth  about nine months ago. Uh two, I came here to

0:13

revolutionize and disrupt wealth management as  we know it. Um if you are one of my competitors,

0:17

you should fear us because I am about to crush  you. Full stop. Okay. So, first let me tell you a

0:23

little bit about City. Um in terms of the brand,  how long we've been around, it's been a couple

0:28

hundred years of this business. We are super  global. We're in over a 100 different countries.

0:32

We service some of the world's uh change makers.  I'll call them the billionaires of the world

0:37

that have families in different jurisdictions,  investments all over the place, and run businesses

0:41

and companies across the globe. We also have over  a million clients uh million-dollar households uh

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all over the the world as well. Um we move money  around the planet,5 trillion dollars a day,

0:51

equal to sort of Germany's GDP. But the reality is  is it's super fragmented. our systems are archaic

0:58

uh slow and honestly this story is less about uh  sort of analytics and anomaly detection. It's more

1:04

about what I'll call intelligent automation  optimization and synchronization at scale.

1:09

U you're a client of ours DNA sits in like 55  to 100 different systems. So your first name,

1:14

your last name, your birthday, investment  objectives, risk tolerance, you name it,

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is all fragmented. Uh and guess what? If you make  an address change, like literally log online, it

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goes to a human who has to log into 55 systems to  update it. that's not going to work. Okay, but in

1:27

comes Palunteer and I only work with cutting edge  partners. Uh, and I'm as arrogant as, you know,

1:33

some of the Palunteer folks were day one. Uh,  to be honest with you, they said, "Listen, we're

1:37

going to tell you things that you don't want to  hear." Similar to what Alex said in the beginning,

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and if you don't want to work with us, we're  not the right partner. I said, "Game on. Let's

1:43

go." Um, so anyway, let me get to to the reality  of what's going on here. So, less about slides,

1:49

more demo than anything else. Um, so effectively,  we're starting with all of our reference data. So,

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think about client data, securities in our  world. So, think of Apple technology. Uh,

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it's in this sector industry. We have real-time  prices, corporate action, stock splits, and all

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that fun stuff. Uh, we're putting all that into  the DNA of Foundry and our ontology. Uh, what you

2:11

see in front of you is a bit of a cockpit. So, I  can see real time as customers open up accounts,

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as new securities come in the market, uh, or, you  know, an event like a stock split is taking place.

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Um, but really let me dig into sort of like all  the stuff that's happening. Uh, so what you see

2:26

here as well is a bit of like how many accounts  are getting opened on the fly, people making

2:30

deposited, deposits, moving money. At the lower  right hand corner, you see us bringing together

2:35

that client DNA in a single place. Um, my team  alone is probably in 14 countries. So even getting

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them to sort of synchronize and sort of align  uh to do analytics and cool things like AI uh

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it's a bit tough. Um, I'm going to click into  the experience now around opening an account.

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What you'll see on the page is a bunch of things  happening. So, when you log into a system and you

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sort of put in all of your information, uh, you  know, effectively what's happening is a bunch

3:02

of signals are taking place and we're automating  each and every process of the account opening life

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cycle. Uh, but today that's manual humans going  in to system by system by system. I'll show you

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a deeper example in a second. Um, imagine you're  that client and you come online. You upload your

3:19

passport. You fill out like the seven questions.  It comes to a person. Well, behind the scenes,

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you know, a couple things. One, we have to  validate your address to make sure it's a legal

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address. And in the US, we might have to send it  to a a database. Palunteer is actually shooting

3:33

and streaming events real time and then coming  back and saying, "Yes, it's also streaming events

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to our KYC systems to make sure this isn't like a  terrorist known location or something or other."

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It's also then invoking potentially a docu sign to  actually send out to the client systematically. So

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when the client signals back, it comes back and  it's lifting the data off the passport and any

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inund different countries all across the globe.  Uh so this sort of process would take like nine

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days. Now it takes like seconds. So it's pretty  instantaneous and that's just one example. Um let

4:02

me show you a little bit more. Um I'm now going  to show you sort of the endto-end process going

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across the top. What you'll see is a bunch of  activities. So you see one through eight and what

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you see going down in the bottom is all these  sort of services that I just mentioned. Uh so

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within each of the activities there could be over  a hundred processes across 19 different systems.

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So the green checks means hey it's processing  real time and any anytime there's sort of an

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issue maybe the passport didn't get read correctly  or maybe the person's waiting on you know clicking

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on the docu sign we're sort of getting alerted and  and ultimately until when it's complete. What's

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really cool here though is this is the first  time ever like anyone's even seen the endto-end

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process. It took Palunteer to come in to actually  the two people that sit next to each other didn't

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even realize like oh wow I didn't know that if you  put this extra data upstream or you had this drop

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down it impacted me. So now we can see side by  side all of the processes and effectively we took

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out you know nine days into minutes and you know  50 people sometimes into like one single person.

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uh we've replaced pretty much all the makers. We  still have some checkers. Um but this automation

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at scale uh we're looking at every single workflow  possible. Um and this allows us to build even new

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sort of capabilities and new online services.  What you see here, we call it the GFCM. It's our

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global federated client master. So think of that  as my DNA. All the things I just said, first name,

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last name, birthday, investment objectives, risk  tolerance. We're deeply integrated into all of our

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systems. Think of this like iCloud with your  iPhone. It's the easiest analogy, right? So,

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you log in, you have your iPhone, uh you have  an iPad, you have a MacBook, you go on vacation,

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and maybe you log into some third party, uh,  you know, iCloud. You make a one change. This

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thing synchronizes it all. And guess what? Some  of these old school systems, it's like, hey,

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this many characters, it only can handle blah blah  blah blah blah. Well, Palanteer orchestrates that

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entire synchronization process, which is pretty  slick. Um so for us like you know having people

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go through system by system is you know gone and  those days are over and as of you know Palunteer

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synchronizing it is is the cool thing here. Um let  me show you a little bit more about how we bring

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this data together in depth because it's pretty  complicated given that we're in 100 countries

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and if you're that family that has global DNA  and your kids have an account with us in the

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US and you have a family office in Singapore  um we're bringing it together. What's really

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cool on the right hand side is the power that I  can now bring. So if you think about a financial

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adviser who has a thousand clients, how do I know  that you have Facebook that's downgraded, Obama,

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CD coming due, it's your birthday, and guess  what? You live in California, maybe there's a

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wildfire going on. Well, I can actually stream all  these events and prioritize and rank every single

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one and effectively to the financial adviser say,  "Here's who you should talk to and here's what you

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should talk to them about today." And oh by the  way, we're invoking AI models to write messages

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in elementary school, middle school, and high  school versions. And depending how you respond

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in different languages, I can actually track  and trace. So when you watch Netflix and you

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watch Rocky, it's 1980s Sylvester Stallone action,  it learns. And maybe it's Rocky 2 or maybe it's

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Rambo, maybe not. But effectively, I know what to  serve you up less and what not to serve you. So

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over on the right, you'll see a bunch of next best  actions for an individual client as an example.

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Um these processes to be honest with you uh  have allowed us to dec decrease like speed

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to market by at least 90%. When it comes to  sort of onboarding accounts, doing KYC checks,

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uh bringing new securities into the marketplace.  Um it's reduced massive friction in the in the

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system in the ecosystem there. Um I'm taking us  from defense and broken band-aids, bubble gum,

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and duct tape to offense. And how do we use  this data to inform our advisers and make them

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go faster? It's like Superman or Superwoman.  I'm just giving them a cape to actually know

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what to talk to their clients about. Uh, so like  I said, and like Alex said, I came to dominate,

7:55

crush, and annihilate. So if you're JP Morgan,  Maril Lynch, Morgan Stanley, sorry. All's done.

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