Meeting Title: Amber x Nico | CatchUP! Date: 2025-03-11 Meeting participants: Nicolas Sucari, Amber Lin
WEBVTT
1 00:00:09.690 ⇒ 00:00:11.250 Amber Lin: Hi! There!
2 00:00:12.820 ⇒ 00:00:14.469 Amber Lin: Hi! There!
3 00:00:14.900 ⇒ 00:00:16.750 Nicolas Sucari: Amber. How are you.
4 00:00:16.750 ⇒ 00:00:22.610 Amber Lin: I’m good. Give me a sec. I just got back from the gym. So I’m gonna turn my camera on a little bit.
5 00:00:23.490 ⇒ 00:00:25.229 Nicolas Sucari: Yeah, no problem. That’s fine.
6 00:00:25.370 ⇒ 00:00:25.960 Amber Lin: Hmm.
7 00:00:30.260 ⇒ 00:00:32.990 Nicolas Sucari: Early early morning. There in the gym.
8 00:00:33.420 ⇒ 00:00:46.329 Amber Lin: Yeah, it’s 8 30 now. So it’s not that early. The people have to work at 9. It’s already gone. But today I had a client call at 5, 30.
9 00:00:46.750 ⇒ 00:00:54.370 Nicolas Sucari: Oh, and then I had our team call. So it’s just been full long work mode
10 00:00:55.090 ⇒ 00:00:59.560 Nicolas Sucari: so. But but that’s with like a client from where.
11 00:00:59.960 ⇒ 00:01:01.830 Amber Lin: Oh, the ABC client, yeah.
12 00:01:01.830 ⇒ 00:01:02.980 Nicolas Sucari: Okay. So you have.
13 00:01:02.980 ⇒ 00:01:03.550 Nicolas Sucari: Here is.
14 00:01:04.269 ⇒ 00:01:11.229 Amber Lin: Yeah, they’re in Texas. So it’s their 7, 30 and my 5 30, because I’m in La.
15 00:01:11.995 ⇒ 00:01:12.760 Nicolas Sucari: Yeah.
16 00:01:13.110 ⇒ 00:01:14.730 Nicolas Sucari: Super. Early. Yeah.
17 00:01:15.220 ⇒ 00:01:18.570 Amber Lin: Yeah. And you’re in Argentina right now. Right.
18 00:01:18.570 ⇒ 00:01:20.499 Nicolas Sucari: Yeah, I’m in Buenos Aires.
19 00:01:20.670 ⇒ 00:01:21.200 Nicolas Sucari: It’s.
20 00:01:21.200 ⇒ 00:01:23.589 Amber Lin: Oh, that’s so fun! How is it.
21 00:01:23.590 ⇒ 00:01:32.360 Nicolas Sucari: Midday here right now. It’s really I mean, I really like it living here. The weather right now. It’s a little bit cold.
22 00:01:32.590 ⇒ 00:01:33.670 Amber Lin: Sorry.
23 00:01:34.430 ⇒ 00:01:37.459 Nicolas Sucari: No, no, I lived here all all my life. Yeah.
24 00:01:37.460 ⇒ 00:01:39.040 Amber Lin: Oh, really. Okay.
25 00:01:40.710 ⇒ 00:01:44.280 Nicolas Sucari: I’ve been living here. Yeah, my entire life. I really enjoyed.
26 00:01:44.280 ⇒ 00:01:44.810 Amber Lin: Oh!
27 00:01:44.810 ⇒ 00:01:49.270 Nicolas Sucari: Buenos Aires is I don’t know. It’s a special city, has everything.
28 00:01:50.500 ⇒ 00:01:51.969 Amber Lin: So I want to call.
29 00:01:51.970 ⇒ 00:01:52.400 Nicolas Sucari: Basis.
30 00:01:52.400 ⇒ 00:01:53.540 Amber Lin: Yeah.
31 00:01:54.920 ⇒ 00:02:01.319 Nicolas Sucari: Really nice. And yeah, well, living in la, too, I guess. Should be pretty fun and really nice.
32 00:02:01.490 ⇒ 00:02:13.309 Amber Lin: It depends on where you live. The rich people get really nice stuff. I live in downtown. La, which is mid-range, like it’s it’s okay. But the streets are really chaotic.
33 00:02:14.170 ⇒ 00:02:14.520 Nicolas Sucari: That’s true.
34 00:02:14.520 ⇒ 00:02:29.729 Amber Lin: Way. There’s people on the streets. They’re doing drugs. They’re like doing little trades. It’s a mess kind of scary. And then a few blocks away. Then there’s a sky rise, buildings of the big corporations. It’s it’s absurd sometimes.
35 00:02:30.290 ⇒ 00:02:34.609 Nicolas Sucari: Yeah, but it’s kind of the same here, like, if you are in the it is
36 00:02:35.020 ⇒ 00:02:35.570 Amber Lin: You too.
37 00:02:35.570 ⇒ 00:02:47.409 Nicolas Sucari: Really cool, it’s really good. But if you then go a little bit off to other kind of neighborhoods, it’s a little bit dangerous. That’s what everyone says here in Argentina. But yeah, you need to.
38 00:02:48.080 ⇒ 00:02:52.269 Nicolas Sucari: I live in yeah, like in the in the city, like in.
39 00:02:52.270 ⇒ 00:02:52.879 Amber Lin: One of the good thing.
40 00:02:52.880 ⇒ 00:02:56.500 Nicolas Sucari: Neighborhoods. So I I feel I feel like secure.
41 00:02:56.500 ⇒ 00:02:57.170 Amber Lin: We’ll see it.
42 00:02:57.170 ⇒ 00:03:01.369 Nicolas Sucari: Really nice. Yeah. But but yeah, I mean, there is a lot of
43 00:03:01.817 ⇒ 00:03:07.559 Nicolas Sucari: a lot of insecurity. If you go to other neighborhoods a little bit far away from here.
44 00:03:07.710 ⇒ 00:03:12.599 Nicolas Sucari: But yeah, that’s South America. You just need to be aware all the time of your stuff.
45 00:03:13.450 ⇒ 00:03:23.419 Amber Lin: That’s true. I know I went to cause I come from China, and before I think before they had all the security cameras before they enforced the regulations.
46 00:03:23.900 ⇒ 00:03:31.390 Amber Lin: There is also like people snack or bag or whatever. But now, since you know the there’s face recognition, and there’s cameras.
47 00:03:32.280 ⇒ 00:03:34.480 Amber Lin: it’s really gotten a lot better.
48 00:03:35.950 ⇒ 00:03:40.319 Nicolas Sucari: Yeah, kind of the same here. But we don’t have like a lot of cameras yet.
49 00:03:40.320 ⇒ 00:03:40.719 Nicolas Sucari: Joe.
50 00:03:40.720 ⇒ 00:03:48.890 Nicolas Sucari: just like in some neighborhoods. So it. It depends. Yeah, it’s not that easy. We’re a poor country. That’s why.
51 00:03:48.890 ⇒ 00:03:58.644 Amber Lin: So it’s so different than states like. I don’t think they have cam security cameras on the street, or they just don’t like. They don’t care if you get robbed on the street.
52 00:03:59.750 ⇒ 00:04:01.980 Nicolas Sucari: Yeah, different kind of problems. I guess.
53 00:04:02.300 ⇒ 00:04:07.110 Amber Lin: Totally. What did you do this morning? Cause you said it was midday for you.
54 00:04:08.270 ⇒ 00:04:12.950 Nicolas Sucari: So this morning I also went to the gym early morning 8 Am.
55 00:04:13.300 ⇒ 00:04:15.599 Amber Lin: Wow! What do you do at the gym.
56 00:04:16.620 ⇒ 00:04:22.769 Nicolas Sucari: So I’m getting married on in May 2 months. Yeah.
57 00:04:24.800 ⇒ 00:04:27.240 Amber Lin: I wanna go visit.
58 00:04:27.850 ⇒ 00:04:30.730 Nicolas Sucari: I’m trying. I’m trying to be fit for my wedding.
59 00:04:30.730 ⇒ 00:04:31.670 Amber Lin: Yes.
60 00:04:31.670 ⇒ 00:04:32.000 Nicolas Sucari: Doing.
61 00:04:32.000 ⇒ 00:04:35.629 Amber Lin: Is is your partner. She he! I don’t know.
62 00:04:36.090 ⇒ 00:04:36.550 Nicolas Sucari: Yeah.
63 00:04:36.550 ⇒ 00:04:38.169 Amber Lin: Okay. You gotta raise her up.
64 00:04:38.890 ⇒ 00:04:41.042 Nicolas Sucari: Yeah, it’s still gonna be so easy.
65 00:04:41.536 ⇒ 00:04:41.910 Amber Lin: That’s right.
66 00:04:41.910 ⇒ 00:05:00.899 Nicolas Sucari: But yeah, so yeah, I just, I’m trying to go to the gym on Tuesday, some Thursday morning. And do some other stuff like on Wednesday I play tennis. I don’t know. Do a little bit of sports. If not, I’m gonna be. I’m sitting every day all day here at my desk. So yeah, I need to do something.
67 00:05:01.310 ⇒ 00:05:04.950 Amber Lin: I know Utam has a little treadmill in his room, and he’s.
68 00:05:04.950 ⇒ 00:05:06.220 Nicolas Sucari: Yeah, I know.
69 00:05:06.440 ⇒ 00:05:07.750 Amber Lin: That’s totally funny.
70 00:05:08.573 ⇒ 00:05:12.690 Amber Lin: It’s funny when when I was younger, but.
71 00:05:12.690 ⇒ 00:05:15.830 Nicolas Sucari: Yeah, I used to play soccer here.
72 00:05:15.830 ⇒ 00:05:16.410 Amber Lin: Oh, excellent!
73 00:05:16.410 ⇒ 00:05:17.930 Nicolas Sucari: Is like the main.
74 00:05:18.190 ⇒ 00:05:18.969 Amber Lin: The board here.
75 00:05:18.970 ⇒ 00:05:20.010 Nicolas Sucari: In Argentina.
76 00:05:20.500 ⇒ 00:05:31.649 Nicolas Sucari: Most famous one. And most yeah, people used to play soccer all the time. But I’m kind of I no, yeah, I really like it. I played all my life, too. But
77 00:05:31.650 ⇒ 00:05:32.060 Nicolas Sucari: see you as well.
78 00:05:32.060 ⇒ 00:05:34.190 Nicolas Sucari: Years ago I decided like to
79 00:05:34.310 ⇒ 00:05:39.569 Nicolas Sucari: stop playing a little bit. I was training, 2 days a week, playing on Saturdays and Sundays. It was like.
80 00:05:39.570 ⇒ 00:05:40.769 Amber Lin: Thanks, so much.
81 00:05:41.140 ⇒ 00:05:48.099 Nicolas Sucari: Yeah. So I decided to shift more into tennis paddle. I don’t know you. You don’t have like a lot of battle there in the Us.
82 00:05:48.543 ⇒ 00:05:53.419 Amber Lin: Yeah, Pickleball, I thought you were talking about pickleball. What’s paddle.
83 00:05:54.080 ⇒ 00:06:00.980 Nicolas Sucari: Powell is the one that you play like in a smaller court, kind of the same as tennis, but in a smaller court we
84 00:06:01.894 ⇒ 00:06:06.090 Nicolas Sucari: synthetic grass, I think, and and and walls.
85 00:06:06.430 ⇒ 00:06:07.450 Nicolas Sucari: Do you know it?
86 00:06:07.450 ⇒ 00:06:09.270 Amber Lin: It to the walls, and it bounces back.
87 00:06:09.270 ⇒ 00:06:12.309 Nicolas Sucari: No, no, you hit it to the, to.
88 00:06:12.310 ⇒ 00:06:13.630 Amber Lin: It’s okay.
89 00:06:14.350 ⇒ 00:06:15.999 Nicolas Sucari: Oh, let me try to share.
90 00:06:16.000 ⇒ 00:06:17.010 Amber Lin: Yeah.
91 00:06:17.390 ⇒ 00:06:18.219 Amber Lin: And it’s not fun.
92 00:06:18.220 ⇒ 00:06:24.659 Nicolas Sucari: But yeah, it’s kind of a little bit. The court is a little bit bigger than pickleball. One.
93 00:06:25.750 ⇒ 00:06:27.180 Nicolas Sucari: It is this board.
94 00:06:28.010 ⇒ 00:06:31.010 Nicolas Sucari: Let me see, this is the court.
95 00:06:31.150 ⇒ 00:06:31.780 Amber Lin: Okay.
96 00:06:31.780 ⇒ 00:06:38.819 Amber Lin: Oh, I think every time I’ve seen it, I just automatically thought it was tennis because they use a tennis ball.
97 00:06:39.480 ⇒ 00:06:49.029 Nicolas Sucari: Yeah, they use a tennis ball, different kind of bracket. And the court is a little bit small. And and these blue stuff is kind of yeah, different. You see.
98 00:06:49.030 ⇒ 00:06:51.120 Amber Lin: Oh, on that!
99 00:06:51.120 ⇒ 00:06:51.460 Nicolas Sucari: Yes.
100 00:06:51.460 ⇒ 00:06:52.430 Amber Lin: Fun.
101 00:06:52.890 ⇒ 00:06:57.600 Nicolas Sucari: It’s fine. It’s fun. Well, it’s fun. So yeah, I kind of playing these right now.
102 00:06:57.830 ⇒ 00:07:01.379 Nicolas Sucari: We don’t have pickleball here in Argentina. No pickleball at all.
103 00:07:01.380 ⇒ 00:07:02.010 Amber Lin: But.
104 00:07:02.700 ⇒ 00:07:03.920 Nicolas Sucari: Yeah. No.
105 00:07:04.700 ⇒ 00:07:08.689 Amber Lin: I I mean I haven’t heard of it since 4 years ago. Now I think it’s.
106 00:07:08.690 ⇒ 00:07:11.249 Nicolas Sucari: Yeah, it’s kind of it’s kind of new
107 00:07:11.840 ⇒ 00:07:17.140 Nicolas Sucari: here. It’s I don’t know. It’s just very popular in the Us. Not everyone else. Yeah.
108 00:07:17.480 ⇒ 00:07:18.490 Amber Lin: Totally.
109 00:07:19.580 ⇒ 00:07:20.390 Nicolas Sucari: Cool.
110 00:07:20.390 ⇒ 00:07:23.909 Amber Lin: Nico. I oh, it’s so funny! It is your name, Nico.
111 00:07:25.050 ⇒ 00:07:26.720 Amber Lin: Is that how I how I say.
112 00:07:28.820 ⇒ 00:07:31.410 Nicolas Sucari: Yeah, my name is Nicolas. But yeah, you can tell me, Nico, that’s fine.
113 00:07:31.410 ⇒ 00:07:48.065 Amber Lin: It’s so funny. My girlfriend’s name is Nico. It’s so funny. So every time I write that down on the calendar I have to write your full name so that she doesn’t get confused. And I’m like that is not for you. This is for my work.
114 00:07:48.420 ⇒ 00:07:51.290 Nicolas Sucari: I’m sorry, Bonnie.
115 00:07:52.050 ⇒ 00:07:52.660 Amber Lin: Yeah.
116 00:07:52.660 ⇒ 00:07:53.520 Nicolas Sucari: But yeah.
117 00:07:53.530 ⇒ 00:08:06.169 Amber Lin: Oh, I wanted to call and just get sort of get an overview of operation. Let’s get to know you, because I know you also worked in Pm, before. So just to just to get an idea, I’m catching up.
118 00:08:06.170 ⇒ 00:08:08.020 Nicolas Sucari: Yeah, so
119 00:08:08.190 ⇒ 00:08:32.350 Nicolas Sucari: cool. I’m gonna give you a little bit of an overview. I started working in operations kind of yeah, maybe 2 weeks ago, like when you join. And like, just right now, I’m trying to. I’m trying to catch up with all of the operation stuff with Marianne and utam and try to right now that we are both of us trying to. Yeah, set up some processes and understand how everything is
120 00:08:32.370 ⇒ 00:08:45.120 Nicolas Sucari: is working and try to automate and think of better ways of doing things. So yeah, that’s kind of recently, yeah, I I just moved to to that area recently. We use. Yeah.
121 00:08:45.900 ⇒ 00:08:46.790 Nicolas Sucari: sorry.
122 00:08:46.790 ⇒ 00:08:49.459 Amber Lin: Sorry. Go ahead. I stopped you. Go ahead, please.
123 00:08:49.510 ⇒ 00:08:56.400 Nicolas Sucari: No, that’s fine. And yeah. And before that I’ve I’ve been working in clients Javi Coffee Pool Park.
124 00:08:57.676 ⇒ 00:09:20.233 Nicolas Sucari: Yeah. And maybe some of the other ones a little bit less, because, yeah, I was just the only one trying to handle every. Every client was a little bit messy. That’s why Utah and Robert stepped in and they started to handle one of the other clients. But yeah, I mean, I’ve been working with Utam almost, for like, I think, 10 months now.
125 00:09:20.760 ⇒ 00:09:35.152 Nicolas Sucari: so yeah, I I work with most. Most of it was pull parts@atfirstst it was the only client that we had. We had then some other clients by the coco. That was an AI one that we did.
126 00:09:35.630 ⇒ 00:09:43.879 Nicolas Sucari: And yeah. And then Javi stepped in. Javi took a lot of of our time, and then Eden urban stem stockbleeds.
127 00:09:43.980 ⇒ 00:09:47.459 Nicolas Sucari: Yeah, all of the clients. But yeah, I mean.
128 00:09:47.460 ⇒ 00:09:48.490 Amber Lin: Too fast.
129 00:09:49.060 ⇒ 00:10:01.509 Nicolas Sucari: It was really fast. Yeah one. Once Robert joined. He brought like more these clients, Eden Javi, and we kind of merged the 2 agencies
130 00:10:02.187 ⇒ 00:10:31.710 Nicolas Sucari: it. It started to move. Everything was really, really fast. That’s why we needed more people. So right now, I I think, like we have, like a pretty good good team to handle all of these clients, and the challenge would be, what will happen when we have like more more clients. Right? Are we gonna be able to fulfill order the requirements with this team? Or we will need more people. But yeah, I guess we should be able to to get more clients with the actual team right now.
131 00:10:32.340 ⇒ 00:10:43.110 Amber Lin: I really think so. I I’ve worked with 2 teams now and work with the ABC team. So the AI team and also with pool parts. So
132 00:10:43.510 ⇒ 00:10:51.680 Amber Lin: it’s Pius and Bo. And they’re Luke kind of. So it’s it’s they’re all really, really competent. And they’re so
133 00:10:51.920 ⇒ 00:10:58.100 Amber Lin: they’re dedicated because I’ve worked so many teams that you have to chase them down. Be.
134 00:10:58.100 ⇒ 00:10:58.550 Nicolas Sucari: I know.
135 00:10:58.550 ⇒ 00:11:10.970 Amber Lin: They’re asked every day like, Please do this, please do this. You haven’t done this. Please use this. And today we did a stand up, and it was so easy. I was like, Wow, I didn’t. I did not have this expectation.
136 00:11:11.480 ⇒ 00:11:17.009 Nicolas Sucari: Yeah, but that that’s now like pull parts. We we changed the analyst like a couple of times.
137 00:11:17.010 ⇒ 00:11:17.390 Amber Lin: Hmm.
138 00:11:17.390 ⇒ 00:11:36.505 Nicolas Sucari: Yeah. So right now, yeah, I think that the team right now is really great. And with both parts the the challenge was always trying to get the the client to be more engaged on what we were doing. Like we had all the reports. We have all the data. It was just us trying to get
139 00:11:36.980 ⇒ 00:11:44.919 Nicolas Sucari: yeah, maybe more more ideas or more projects with them to see where we can like focus and get better insights for them.
140 00:11:45.769 ⇒ 00:11:53.000 Nicolas Sucari: So yeah, that’s that was kind of the big challenge. But yeah, pull parts the client, the people that we interact with, they are great.
141 00:11:54.520 ⇒ 00:12:02.119 Nicolas Sucari: And yeah, they are really they. They really like what we do. And but they don’t kind of ask a lot of stuff frequently, right? Like they.
142 00:12:02.120 ⇒ 00:12:04.930 Amber Lin: They’re much more passive than.
143 00:12:04.930 ⇒ 00:12:05.990 Nicolas Sucari: Yeah, exactly.
144 00:12:06.030 ⇒ 00:12:06.620 Amber Lin: Yeah.
145 00:12:06.620 ⇒ 00:12:21.399 Nicolas Sucari: They they? I mean, we need to tell them what to do. We need to tell them, hey, we’re gonna focus on this. And they are. Gonna say, they are okay, maybe. But yeah, we need to like, push a lot more than what they are pushing us right.
146 00:12:21.400 ⇒ 00:12:29.350 Amber Lin: Yeah. Did you do project management before? What was your roles before? Say, working at Brain Forge.
147 00:12:29.670 ⇒ 00:12:51.053 Nicolas Sucari: Yeah, yeah, yeah, I’ve been work. Like, I’m I have a business administration degree so, nothing related to software development or like, kind of pro project management. But I started working as a yeah product product owner, project manager, scrum master a couple of years ago. I I kind of
148 00:12:51.450 ⇒ 00:13:03.070 Nicolas Sucari: participated in different roles in different companies. And for the last kind of 4 or 5 years I’ve been specifically a project manager in a software in a software development company
149 00:13:03.070 ⇒ 00:13:22.430 Nicolas Sucari: here in Argentina that worked with clients all around the world. So I manage kind of the development design testing teams or different projects and clients. And yeah, and just one year ago I jumped into this data and AI world trying to learn new things.
150 00:13:22.430 ⇒ 00:13:36.690 Amber Lin: Great. That’s why I think this is gonna be the trend. And just like how people learn to use computers, they’re gonna have to learn this eventually, anyways. So why don’t I just be the one developing these from the start? So I don’t have to play.
151 00:13:37.640 ⇒ 00:13:40.930 Amber Lin: So that was my, that’s exactly how I thought about it.
152 00:13:41.490 ⇒ 00:13:54.875 Nicolas Sucari: It’s really great. And and and you’re gonna you’re gonna learn a lot on the that. And the AI, if you like, if you if you wanna step in and try to understand all of what they are doing. Being close to the AI team is great.
153 00:13:55.160 ⇒ 00:13:59.929 Amber Lin: It is I I they’re mine.
154 00:13:59.930 ⇒ 00:14:03.060 Nicolas Sucari: They really know they really know what they are doing. Yeah.
155 00:14:03.060 ⇒ 00:14:22.419 Amber Lin: And we’ve been trying to do like this tutorial on building a second brain. AI with notion so kind of like all the bots we have, and looking at their workflow really helps me understand the lecture notes that I have, because they are. There’s so many terms.
156 00:14:22.420 ⇒ 00:14:22.950 Nicolas Sucari: Yeah.
157 00:14:22.950 ⇒ 00:14:26.400 Amber Lin: Is this? What do you mean? You have a rag. Do you mean a MoD
158 00:14:26.820 ⇒ 00:14:29.750 Amber Lin: like? What do you mean? All of this? It was really helpful.
159 00:14:29.750 ⇒ 00:14:30.389 Nicolas Sucari: Oh, yeah.
160 00:14:30.390 ⇒ 00:14:31.070 Amber Lin: There!
161 00:14:31.710 ⇒ 00:14:42.910 Nicolas Sucari: Yeah. Yeah. And I know right now, like a lot of companies. They’re trying to like to shift or trying to do something with AI, but nobody knows like how to do it right, and
162 00:14:43.130 ⇒ 00:15:11.072 Nicolas Sucari: like everyone wants to do something with AI, or say, or or they say, like, Hey, we want. We want to do this with AI, but they don’t know how to like, execute, and having Casey, Miguel and Jana here like they they do execute stuff. They they can teach you, and you can learn a lot just by seeing what they are building. And that’s like that’s something different that you won’t. You won’t find anywhere else, I think, or just for now. It will take a little bit of time since
163 00:15:11.630 ⇒ 00:15:17.930 Nicolas Sucari: since since all of these started. And since these companies will start to do something like this, so yeah, we are kind of
164 00:15:17.930 ⇒ 00:15:20.380 Nicolas Sucari: definitely in a special place.
165 00:15:20.380 ⇒ 00:15:22.920 Amber Lin: It’s so exciting.
166 00:15:23.420 ⇒ 00:15:33.479 Amber Lin: It’s really cool. And I I’m really excited to work together. What is the operations team trying to do? Oh, I did not know that you just started in operations. You were so like.
167 00:15:33.480 ⇒ 00:15:33.900 Nicolas Sucari: Fine.
168 00:15:33.900 ⇒ 00:15:39.119 Amber Lin: We wanna do this? We wanna do that. I was like, Oh, oh, this guy has been leading that department for a while.
169 00:15:40.155 ⇒ 00:15:41.190 Nicolas Sucari: No.
170 00:15:41.190 ⇒ 00:15:43.810 Amber Lin: I mean, it’s a compliment. You seem really competent.
171 00:15:44.340 ⇒ 00:15:46.310 Nicolas Sucari: No, that’s fine. I mean, it’s
172 00:15:46.310 ⇒ 00:15:56.799 Nicolas Sucari: kind of we have like these ideas that we want to. Or we we’re trying to automate processes. But first, st that’s why I’m trying to focus like this week.
173 00:15:56.890 ⇒ 00:16:25.709 Nicolas Sucari: And yeah, maybe last week this week. And I don’t know if it’s gonna spend next week, too, on detailing all of these processes, so that we can understand with Marianne, like all of the different flows that we have internally regarding anything right, like regarding the client on boarding the new team employee on boarding. Regarding how we send contracts regarding legal and final stuff. Financial stuff. Once we have like that kind of understanding of
174 00:16:25.730 ⇒ 00:16:40.279 Nicolas Sucari: every process or everything that we are doing. Then we can kind of start working to automate or try to think on how to improve speed up or do anything with these with these processes. And that’s what I’m kind of
175 00:16:40.746 ⇒ 00:16:51.563 Nicolas Sucari: thinking for the like. The operations team. The operations team is just Marianne and me. That’s that’s it. There is no more people involved right now.
176 00:16:52.180 ⇒ 00:16:55.309 Nicolas Sucari: but but yeah, I mean, that’s what we are trying to do. We try to
177 00:16:55.710 ⇒ 00:17:14.279 Nicolas Sucari: to talk with every team leader, project manager, everyone on the on the on the team and try to understand, like what you guys are doing and think of new process or different process on how to do that faster, better with, yeah, I don’t know with less interactions, and and that
178 00:17:15.026 ⇒ 00:17:26.749 Nicolas Sucari: try to get things off your plate so that you can focus directly with the client on developing better stuff for them better insights and get them engaged. That’s like my main idea of of this team.
179 00:17:26.750 ⇒ 00:17:48.740 Amber Lin: That is so cool and honestly, when Uton hired me when our 1st call I was like, this is something that I’ve been wanting to do. For a long time I was I was thinking of making my own startup for a project management automation, because that’s what I’ve been working in. And when I talked to him he was like, Oh, that’s what we’re gonna do internally, I was like, Okay, I’m on like.
180 00:17:49.120 ⇒ 00:18:14.620 Amber Lin: if you have the people that knows AI, or much rather have someone else do the coding. So that’s a big reason why I’m here is because I know that Brainforge is going to do all these automations in team, and I would love to like, if you need someone to project, manage that. I know you’re already a project manager. If or you need someone to take notes and communicate.
181 00:18:14.620 ⇒ 00:18:15.190 Nicolas Sucari: No, that’s it.
182 00:18:15.190 ⇒ 00:18:21.760 Nicolas Sucari: AI team always. I am so down to be at these meetings. I’m so excited about this like this keeps me going.
183 00:18:22.340 ⇒ 00:18:30.540 Amber Lin: No, that’s great. And that’s our idea. I think the idea is not me managing like all of these. It’s more about.
184 00:18:31.074 ⇒ 00:18:41.139 Nicolas Sucari: Understanding what we need. And then like talking to each of the different teams. So yeah, obviously, you’re gonna be involved in that like, if you’re if you’re gonna be
185 00:18:41.290 ⇒ 00:18:55.515 Nicolas Sucari: project managing the AI team, you’re gonna be involved in everything that we need, obviously participating in all of these meetings, and obviously not only on the meetings, but also trying to ideate these kind of new processes.
186 00:18:56.290 ⇒ 00:18:57.349 Nicolas Sucari: So, yeah, now.
187 00:18:57.350 ⇒ 00:19:10.090 Amber Lin: Operations meetings about these things. Can you also send me an invite? I would just to get involved early on. So you don’t have to explain it to me again. I could just listen. Listen into the meeting. I’m like, Oh, okay, okay, I get.
188 00:19:10.406 ⇒ 00:19:14.519 Nicolas Sucari: I invited you tomorrow with the visa for the for the meeting with.
189 00:19:14.520 ⇒ 00:19:15.120 Amber Lin: Welcome,
190 00:19:15.720 ⇒ 00:19:20.920 Nicolas Sucari: So the idea there is to ask a little bit about how she
191 00:19:21.343 ⇒ 00:19:46.899 Nicolas Sucari: like, how how she managed an operations team, and what like are their goals, and try to understand what we can also do right like, try to copy what they are doing as an operations team and see where we can be involved, with which with which teams which initiatives or projects they are taking, so that we can understand if there is something. If if there are those opportunities here inside brain force, too. Right?
192 00:19:47.445 ⇒ 00:19:53.684 Nicolas Sucari: But yeah, obviously, you’re you’re gonna be invited to most of of those meetings.
193 00:19:54.170 ⇒ 00:19:55.040 Amber Lin: I did.
194 00:19:56.130 ⇒ 00:19:59.229 Nicolas Sucari: Yeah, I’m working with the AI team. I think it’s always.
195 00:19:59.735 ⇒ 00:20:00.050 Amber Lin: Bye.
196 00:20:00.530 ⇒ 00:20:05.440 Nicolas Sucari: So yeah, Miguel Casey, I don’t know Jana a lot, but Miguel and Casey are really cool.
197 00:20:05.722 ⇒ 00:20:14.189 Amber Lin: I think it’s a little bit busy, because sometimes she can’t make it to the meetings, but I think all 3 of them are really close friends. They work together.
198 00:20:14.650 ⇒ 00:20:19.710 Amber Lin: so if you talk to any of them, they’ll know what the other person is doing. So it’s fine.
199 00:20:19.710 ⇒ 00:20:20.669 Nicolas Sucari: Yeah, yeah, yeah.
200 00:20:20.670 ⇒ 00:20:21.280 Amber Lin: Good.
201 00:20:21.810 ⇒ 00:20:23.480 Amber Lin: Yeah, that’s great. Yeah.
202 00:20:23.480 ⇒ 00:20:32.709 Amber Lin: They’re working on the internal. A leads processing something for Robert. So that’s pretty on track. John is working on that.
203 00:20:33.320 ⇒ 00:20:38.030 Nicolas Sucari: Yeah, they have a there is a bot called Lead researcher. I don’t know if.
204 00:20:38.030 ⇒ 00:20:42.649 Amber Lin: I used it already. There is a different one, probably a lead generator.
205 00:20:43.140 ⇒ 00:20:44.100 Nicolas Sucari: So, okay.
206 00:20:44.100 ⇒ 00:20:47.559 Amber Lin: No, create the leads, and then they’re gonna use the lead.
207 00:20:47.560 ⇒ 00:20:53.509 Nicolas Sucari: You know I was. I was talking to Utam and Miguel last week.
208 00:20:53.976 ⇒ 00:21:10.240 Nicolas Sucari: I think we need to set up like an AI demo from from the team and and Demo all of these bots and everything that the AI team is doing because they were developing. For example, they developed the bot called the ticket. Here, right.
209 00:21:10.240 ⇒ 00:21:11.380 Amber Lin: To create tickets in the.
210 00:21:11.380 ⇒ 00:21:13.830 Nicolas Sucari: Motion, and nobody was using it.
211 00:21:13.830 ⇒ 00:21:14.270 Amber Lin: Yeah.
212 00:21:14.270 ⇒ 00:21:21.769 Nicolas Sucari: Okay. So that was what we were using notion in order to create tickets and kind of manage all tasks for every.
213 00:21:21.770 ⇒ 00:21:22.170 Amber Lin: Routine.
214 00:21:22.510 ⇒ 00:21:28.580 Nicolas Sucari: And client, and they created a bot that out that you can just tag in in slack and
215 00:21:28.580 ⇒ 00:21:46.310 Nicolas Sucari: to create a ticket for you with some details, but nobody was using, because it was not shared in any channel right? And like they created it. And they didn’t communicate that I was asking them, Hey, guys like, tell me these, I’m gonna be the 1st to use it. I used it a little bit, and now we are deciding to change to linear. So.
216 00:21:46.310 ⇒ 00:21:47.420 Amber Lin: But it’s.
217 00:21:47.420 ⇒ 00:21:47.970 Nicolas Sucari: That’s fine!
218 00:21:47.970 ⇒ 00:21:50.370 Amber Lin: So they’ll just put it in linear.
219 00:21:50.840 ⇒ 00:22:17.610 Nicolas Sucari: Yeah, exactly, but that those are the kind of stuff that I want, like people to to use. Right? Like, we have the lead researcher. We have the ticket here. We have now, the client apps for every client, and I don’t know if people are are using them or not. And we need to like track or measure if people are using that so that we can improve. And if if they are not using like these spots. Okay, let’s understand why people is not using this
220 00:22:18.060 ⇒ 00:22:36.869 Nicolas Sucari: and see if we can do something different with that. Or we just kind of like archive it. And that’s it. Okay, we don’t need that anymore. But every of these, like each bot, required some some time to to be built right? So that’s what we we need to try to focus on, to build things that people will will use. And if
221 00:22:36.990 ⇒ 00:22:43.959 Nicolas Sucari: if they use it, there will be improvements, and we can keep like working on on those stuff. But yeah.
222 00:22:43.960 ⇒ 00:22:47.270 Amber Lin: I really, I love that mindset. You’re really yeah.
223 00:22:47.270 ⇒ 00:22:52.500 Amber Lin: You’re not just doing operations. You’re improving that stuff. I see why he hired you.
224 00:22:53.480 ⇒ 00:22:54.659 Nicolas Sucari: No. Yeah.
225 00:22:54.660 ⇒ 00:22:56.610 Amber Lin: Head of Operations.
226 00:22:57.670 ⇒ 00:23:19.490 Nicolas Sucari: Yeah, I mean, I I try to kind of like to improve like those things. Same with clients like when when we get requirements. We try to deliver them, but also, like, keep talking with the client, trying to see what else we can do for them. Right? That’s kind of the mindset that I I always had. And that’s why, like, maybe right now, I’m shifting to internal
227 00:23:19.790 ⇒ 00:23:36.889 Nicolas Sucari: stuff more like focusing on these kind of products. And and that’s gonna be like the same. My mindset is gonna be like the same like trying to improve stuff, trying to see what else we can do to improve the yeah, the the processes that we have internally, and see how we can help each.
228 00:23:36.890 ⇒ 00:23:37.250 Amber Lin: Oh!
229 00:23:37.250 ⇒ 00:23:41.489 Nicolas Sucari: Our teammates on on accomplish better better stuff for our clients, too.
230 00:23:41.860 ⇒ 00:23:54.060 Amber Lin: That’s my focus, too, on my linkedin. It’s like specializing in process improvement and change management tools tools. So I get it. I I like that about Utop.
231 00:23:54.610 ⇒ 00:23:54.970 Nicolas Sucari: Yeah.
232 00:23:54.970 ⇒ 00:24:02.889 Amber Lin: Robert, Robert was like. Oh, you should talk to, because you have the same mind, and I think we have the same mind too, so I feel.
233 00:24:02.890 ⇒ 00:24:03.390 Nicolas Sucari: Can you hear it?
234 00:24:04.710 ⇒ 00:24:18.499 Nicolas Sucari: No, no, I think that’s great. And also, like all of these things that we are building internally. Like we have the opportunity to also like, make it a product and sell it to clients. That’s what I’m selling. I’m saying to them.
235 00:24:18.730 ⇒ 00:24:31.470 Nicolas Sucari: like what we have on the client. Hubs like that’s something great. There are a lot of companies using slack, and they like they struggle with the same stuff that we do. So why not? We can start like kind of like selling
236 00:24:31.470 ⇒ 00:24:32.470 Nicolas Sucari: visa products.
237 00:24:32.470 ⇒ 00:24:48.080 Amber Lin: We thought about the same thing. That’s so funny. I was telling you we automate everything, and then we sell the whole package to other companies. Then we become product and software company, and then we scale much faster rather than doing service.
238 00:24:48.580 ⇒ 00:24:54.509 Nicolas Sucari: Exactly. That’s why I’m trying to to focus and trying to say to people so that we can kind of share.
239 00:24:54.510 ⇒ 00:24:55.120 Amber Lin: Long term.
240 00:24:55.120 ⇒ 00:24:56.260 Nicolas Sucari: From service to.
241 00:24:56.615 ⇒ 00:25:13.310 Amber Lin: Yeah, we’ll work on it together. Oh, we have 4 min. I I have 2 questions. And well, one question, do we have a document, one on the existing AI bots that we created, and 2 just AI productivity tools. Do we even have those documents.
242 00:25:13.650 ⇒ 00:25:29.980 Nicolas Sucari: Nothing about that. I think I mean, there is a place in notion. Yeah, I think there is a place in there. If you go in notion. In the homepage there is a page called Documentation, where you can find a lot of stuff. But I’m don’t think we have that documents on AI stuff. Nope.
243 00:25:30.330 ⇒ 00:25:31.629 Amber Lin: Okay. I think that will.
244 00:25:31.630 ⇒ 00:25:34.290 Nicolas Sucari: That’s something to work on. Yeah, yeah, that will be great.
245 00:25:34.290 ⇒ 00:25:40.399 Amber Lin: Asking Utam, and everybody probably has to ask him. So why don’t we just make a dog and let people
246 00:25:40.921 ⇒ 00:25:48.630 Amber Lin: just let people like, send it out for their onboarding, and they’ll see. Oh, can use that, or we can use that. So.
247 00:25:48.630 ⇒ 00:25:50.640 Nicolas Sucari: Yeah, just check about this.
248 00:25:51.020 ⇒ 00:25:54.059 Nicolas Sucari: So this is the documentation
249 00:25:54.230 ⇒ 00:26:02.580 Nicolas Sucari: page with a lot of things. We’re trying to categorize this in tutorials, how to guide references like, there is a lot of stuff in here.
250 00:26:02.580 ⇒ 00:26:02.950 Amber Lin: Wow!
251 00:26:02.950 ⇒ 00:26:16.409 Nicolas Sucari: Pretty much of this stuff is old and it maybe it’s something related to clients. But if you search here for I don’t know AI.
252 00:26:17.080 ⇒ 00:26:18.729 Nicolas Sucari: You will see.
253 00:26:19.534 ⇒ 00:26:20.049 Amber Lin: No.
254 00:26:20.930 ⇒ 00:26:21.730 Amber Lin: Nope.
255 00:26:23.010 ⇒ 00:26:25.480 Nicolas Sucari: But nothing regarding the agents that we already have.
256 00:26:25.480 ⇒ 00:26:29.550 Amber Lin: Okay, I’ll write that down. I think that’s a good idea to do, and it will.
257 00:26:29.550 ⇒ 00:26:30.170 Nicolas Sucari: Yeah.
258 00:26:30.170 ⇒ 00:26:32.229 Amber Lin: Long, because we already have all of them.
259 00:26:32.970 ⇒ 00:26:33.750 Nicolas Sucari: Yeah, exactly.
260 00:26:33.750 ⇒ 00:26:34.950 Amber Lin: Yeah, I will.
261 00:26:34.950 ⇒ 00:26:40.850 Nicolas Sucari: And and that’s that’s why I wanted to create like this meeting in order to share with everyone like what
262 00:26:41.260 ⇒ 00:26:57.230 Nicolas Sucari: products or agents we have internally or bots. We have internally, so that people start using them because there is no place to find them like if if Miguel or Casey don’t tell me, hey? You can start using the ticket here, or anything else. I I’m not gonna be aware of that experience
263 00:26:57.580 ⇒ 00:26:58.160 Nicolas Sucari: right.
264 00:26:58.410 ⇒ 00:26:59.350 Amber Lin: Totally.
265 00:27:00.330 ⇒ 00:27:05.280 Amber Lin: Yeah. Let me say, save that
266 00:27:05.980 ⇒ 00:27:13.480 Amber Lin: I will write that down so that we 8.
267 00:27:16.770 ⇒ 00:27:19.410 Amber Lin: Okay, plus.
268 00:27:20.340 ⇒ 00:27:27.540 Amber Lin: I’m excited, too. I’m probably I’m gonna see you tomorrow morning. So that’s fine. Great afternoon.
269 00:27:28.020 ⇒ 00:27:28.860 Nicolas Sucari: Yeah.
270 00:27:28.980 ⇒ 00:27:41.839 Nicolas Sucari: cool. Thank you. Amber, like this meeting was really great. Let me know if you need anything. Obviously you can slack me. Don’t wait for the meetings. I’m gonna I’m always looking at Black and my phone anytime. So yeah.
271 00:27:42.330 ⇒ 00:27:42.820 Amber Lin: Okay.
272 00:27:42.820 ⇒ 00:27:43.660 Nicolas Sucari: That’s fine!
273 00:27:43.870 ⇒ 00:27:44.820 Amber Lin: Alrighty!
274 00:27:44.940 ⇒ 00:27:45.650 Amber Lin: Bye-bye.
275 00:27:45.650 ⇒ 00:27:47.170 Nicolas Sucari: See you. Bye-bye.