Meeting Title: Brainforge x CTA Project Sync Date: 2026-04-06 Meeting participants: Uttam Kumaran, Amber Lin, Jasmin Multani
WEBVTT
1 00:02:35.820 ⇒ 00:02:36.830 Amber Lin: Hello!
2 00:02:37.270 ⇒ 00:02:39.240 Jasmin Multani: Hey, Amber, how’s it going?
3 00:02:40.140 ⇒ 00:02:44.470 Amber Lin: Just, starting my lunch, so I’m gonna be camera off for now.
4 00:02:44.640 ⇒ 00:02:45.350 Jasmin Multani: No worries.
5 00:02:45.350 ⇒ 00:02:49.030 Uttam Kumaran: I need to do lunch, I need to go eat my lunch after this. That’s a good reminder.
6 00:02:50.390 ⇒ 00:02:55.059 Jasmin Multani: What, what’d you make? Did you make something, Amber, or did you buy?
7 00:02:55.060 ⇒ 00:02:59.339 Amber Lin: Leftovers from yesterday.
8 00:02:59.340 ⇒ 00:02:59.739 Uttam Kumaran: What’s the look?
9 00:02:59.740 ⇒ 00:03:02.780 Amber Lin: Lunch, I don’t have to cook… don’t have time to cook.
10 00:03:02.780 ⇒ 00:03:05.280 Uttam Kumaran: What’s the left… where did you go yesterday?
11 00:03:05.280 ⇒ 00:03:07.529 Amber Lin: Oh, no, we cooked…
12 00:03:08.070 ⇒ 00:03:23.190 Amber Lin: Well, it’s kind of leftovers from leftovers. We went to this Pad Thai place and got Pad Thai, and their noodles was okay, so we came home, and then we added some pork belly and added some eggs, so I just.
13 00:03:23.190 ⇒ 00:03:23.709 Uttam Kumaran: Hell yeah.
14 00:03:23.760 ⇒ 00:03:24.680 Amber Lin: loved.
15 00:03:26.270 ⇒ 00:03:27.110 Uttam Kumaran: Nice.
16 00:03:27.320 ⇒ 00:03:27.980 Amber Lin: Yeah.
17 00:03:30.780 ⇒ 00:03:37.880 Uttam Kumaran: I made tofu. I made tofu, and I made, rice, tofu, I have cauliflower… Pride up.
18 00:03:38.660 ⇒ 00:03:40.390 Jasmin Multani: How healthy.
19 00:03:40.390 ⇒ 00:03:46.010 Uttam Kumaran: Yeah, it was very healthy. Well, we tried to… we got… I got back from California yesterday, and then all the stores were closed.
20 00:03:46.170 ⇒ 00:03:47.889 Jasmin Multani: Oh, no. So I was like…
21 00:03:47.920 ⇒ 00:03:53.600 Uttam Kumaran: What do we have? It turned out okay, I mean, look… Constraint-driven cooking.
22 00:03:54.470 ⇒ 00:03:56.439 Jasmin Multani: Nice. Are you… are you vegetarian?
23 00:03:56.650 ⇒ 00:03:57.690 Uttam Kumaran: No, no, no.
24 00:03:57.690 ⇒ 00:03:58.950 Jasmin Multani: Yeah, you just had tofu.
25 00:03:59.780 ⇒ 00:04:02.249 Uttam Kumaran: I had tofu, I had cauliflower.
26 00:04:02.900 ⇒ 00:04:10.630 Uttam Kumaran: I… I like… I like cooking vegetarian. Oh, I made baba ganoush as well. I cooked… I… I like cooking vegetarian, I just…
27 00:04:10.970 ⇒ 00:04:18.610 Uttam Kumaran: also, like, cooking chicken and stuff, but it’s… yeah, I feel like if I can at least have one veggie, one protein.
28 00:04:19.130 ⇒ 00:04:20.290 Uttam Kumaran: You know, it’s good.
29 00:04:20.610 ⇒ 00:04:22.400 Jasmin Multani: That’s healthy, very balanced. Yeah.
30 00:04:24.200 ⇒ 00:04:35.489 Jasmin Multani: Okay, cool. So, I did this meeting because I remember we… I just read a Slack message somewhere with them where you wanted the three of us to sync up real quick.
31 00:04:35.600 ⇒ 00:04:39.429 Jasmin Multani: So, is this gonna be, like, a handoff conversation?
32 00:04:40.480 ⇒ 00:04:54.310 Uttam Kumaran: Yeah, I mean, the main thing I think I wanted to just think on was Amber is gonna be, helping on CTA, and then she also has a bit of work with the learning and development team internally.
33 00:04:54.640 ⇒ 00:04:58.259 Uttam Kumaran: And then Amber, you’re also working on Eden stuff, right?
34 00:04:58.660 ⇒ 00:04:59.900 Amber Lin: Yeah.
35 00:05:00.090 ⇒ 00:05:00.650 Uttam Kumaran: Cool.
36 00:05:01.310 ⇒ 00:05:07.860 Uttam Kumaran: Yeah, I just wanted the three of us to make sure that we’re on the same page on where Amber’s time is. Yeah.
37 00:05:08.240 ⇒ 00:05:09.310 Uttam Kumaran: And then just…
38 00:05:09.430 ⇒ 00:05:20.509 Uttam Kumaran: like, since you’re joining Jasmine, just anything the three of us need to sync on. Otherwise, like, that was… that was kind of it, I think. I don’t know. We can talk about Element, we’re gonna talk about it later, but…
39 00:05:20.610 ⇒ 00:05:24.140 Uttam Kumaran: That was really just what I wanted to… chat about, I think.
40 00:05:24.770 ⇒ 00:05:28.780 Jasmin Multani: Great. I don’t know much about CTA, okay, cool. Maybe we can start there.
41 00:05:29.190 ⇒ 00:05:39.989 Uttam Kumaran: Yeah, so CTA is the parent company for the company that puts on CES every year. So they put on CES and several other trade shows, so it’s a large trade show non-profit.
42 00:05:40.100 ⇒ 00:05:45.409 Uttam Kumaran: We… Are kind of transitioning now into…
43 00:05:45.560 ⇒ 00:05:50.349 Uttam Kumaran: Also doing a lot of, like, AI data analysis-related work for them.
44 00:05:50.460 ⇒ 00:05:55.880 Uttam Kumaran: In particular, we are standing up Snowflake, Cortex,
45 00:05:56.250 ⇒ 00:06:03.000 Uttam Kumaran: they are migrating from a Power BI environment to try to use Cortex for a lot of their
46 00:06:03.300 ⇒ 00:06:06.039 Uttam Kumaran: Like, basically, like, data analysis needs.
47 00:06:06.360 ⇒ 00:06:18.200 Uttam Kumaran: And so, currently, Awash, Ashwini, and I have been on that client. It’s now moving from modeling and data engineering into more strategy work, on the, like.
48 00:06:18.510 ⇒ 00:06:36.869 Uttam Kumaran: Cortex enablement side. What this work looks like is similar to Omni, which is, like, making sure that the AI answers questions in the right way, making sure it’s filled with the right context, any requirements that are not being met that need data modeling work, make sure that there’s a kind of ask back to the data modeling team.
49 00:06:37.040 ⇒ 00:06:42.170 Uttam Kumaran: And then also, like, we have a path towards a ton of additional work here.
50 00:06:42.230 ⇒ 00:06:59.179 Uttam Kumaran: I think, Amber, you heard a little bit about this, like, Shopify thing. There’s a ton more AI work that they want, so I just need a partner on… from the strategy team with me to continue to scope out and, like, extend our arms into that organization to find out where we can be helpful.
51 00:06:59.300 ⇒ 00:07:07.159 Uttam Kumaran: Luckily, it’s… they’re super, super nice, super, super technical, and they love us. So,
52 00:07:07.500 ⇒ 00:07:20.760 Uttam Kumaran: It’s, like, kind of the opposite of Element, where they don’t really second-guess anything. We, do amazing work for them, we move super fast, they’re super AI-forward, so we use AI for a lot of our work.
53 00:07:20.920 ⇒ 00:07:39.390 Uttam Kumaran: And it’s an amazing brand. It’s, like, the largest technology trade show in the world. And it’s, like, they have a ton of really fundamental data challenges from, like, ingesting weird event-related sources to modeling, like.
54 00:07:39.450 ⇒ 00:07:42.770 Uttam Kumaran: Badge scan-related data, all the way to, like.
55 00:07:43.110 ⇒ 00:07:52.129 Uttam Kumaran: it’s a company that’s been running this trade show for 20 years, so they’re an old legacy enterprise, and now they’re trying to skip Power BI. They’re trying to…
56 00:07:52.310 ⇒ 00:08:03.880 Uttam Kumaran: dish Power BI and be like, everyone can now answer questions from Snowflake using the AI sidebar. How do we accomplish that? So, really, really fun challenge. That’s, like, the…
57 00:08:04.260 ⇒ 00:08:05.530 Uttam Kumaran: The net-net there.
58 00:08:06.290 ⇒ 00:08:13.029 Jasmin Multani: Okay, great. And if I wanted to look up their SOW, do I have access to that, or…
59 00:08:13.370 ⇒ 00:08:16.149 Uttam Kumaran: Yeah, I think if you ask Rico,
60 00:08:16.440 ⇒ 00:08:24.909 Uttam Kumaran: he should be able to give you access to that. And then we’re signing, like, a queue… we’re signing, like, a rest-of-the-year scope right now that I’m working on.
61 00:08:25.250 ⇒ 00:08:27.189 Uttam Kumaran: That I can send you.
62 00:08:27.300 ⇒ 00:08:33.169 Uttam Kumaran: I’ll send you, like, what’s in that. It’s not, like, finalized yet, but… .
63 00:08:33.770 ⇒ 00:08:40.030 Jasmin Multani: I won’t make ends. I’m also gonna ask about elements updated SOW. That’s… that’s fine, right?
64 00:08:40.330 ⇒ 00:08:41.899 Uttam Kumaran: No, it’s not signed yet.
65 00:08:42.039 ⇒ 00:08:48.240 Uttam Kumaran: But it’s… we’re… it’s in… it’s in, like, legal, like, back and forth right now.
66 00:08:49.370 ⇒ 00:08:53.630 Jasmin Multani: So be extra over-communicative during this.
67 00:08:54.720 ⇒ 00:08:55.370 Uttam Kumaran: Yeah.
68 00:08:55.540 ⇒ 00:09:01.000 Uttam Kumaran: I mean, I would say… we’ll talk about it later, it’s… It’s in this, like…
69 00:09:01.240 ⇒ 00:09:07.919 Uttam Kumaran: final thing, state, we’re, like, at the end of it, so… I feel pretty good. Like, 2 weeks ago, it was…
70 00:09:09.010 ⇒ 00:09:13.250 Uttam Kumaran: it was far. I think we were gonna get here, it’s just been painful.
71 00:09:13.680 ⇒ 00:09:20.109 Uttam Kumaran: But let me send you this, in the CTA channel, in our internal CTA channel.
72 00:09:25.630 ⇒ 00:09:28.250 Uttam Kumaran: CTA Q2 plan…
73 00:09:31.750 ⇒ 00:09:36.759 Uttam Kumaran: And then… let me send you the element,
74 00:09:52.870 ⇒ 00:09:58.919 Uttam Kumaran: And then I’ll send the element… I’m just gonna send the doc, because this is just in a live legal doc, so…
75 00:09:59.300 ⇒ 00:10:01.769 Uttam Kumaran: I’m just gonna copy-paste the section.
76 00:10:33.400 ⇒ 00:10:36.870 Jasmin Multani: Also, as you’re looking for that, Shivani…
77 00:10:37.290 ⇒ 00:10:43.060 Jasmin Multani: messaged who should be on the discovery sessions with supply chain? Can I be added to that?
78 00:10:43.970 ⇒ 00:10:48.400 Uttam Kumaran: Yeah, I would… I would respond with,
79 00:10:49.480 ⇒ 00:10:52.490 Uttam Kumaran: Yeah, just including you and Robert.
80 00:10:53.110 ⇒ 00:10:54.290 Jasmin Multani: And,
81 00:11:00.910 ⇒ 00:11:03.770 Jasmin Multani: Okay, cool. Sorry. Yeah.
82 00:11:03.770 ⇒ 00:11:05.940 Uttam Kumaran: And then I sent the… I sent the element in CTA,
83 00:11:06.610 ⇒ 00:11:08.840 Uttam Kumaran: Stuff in their respective channels.
84 00:11:09.400 ⇒ 00:11:22.440 Jasmin Multani: Yes, I saw the CTA, I’m looking at the element, carve out, too. Great, this will also help me figure out my, like, write out my quarterly plans, and see how, who’s gonna be staffed on what.
85 00:11:24.210 ⇒ 00:11:24.780 Uttam Kumaran: Okay.
86 00:11:26.980 ⇒ 00:11:29.190 Jasmin Multani: Okay, so,
87 00:11:30.070 ⇒ 00:11:36.779 Jasmin Multani: I want to ask more about CTA. So Amber, how are you leaning into CTA currently?
88 00:11:37.350 ⇒ 00:11:42.180 Amber Lin: I just heard in the last meeting, so Uta, if you want to, like, give…
89 00:11:42.580 ⇒ 00:11:45.060 Amber Lin: Do you want me to answer, or do you have a better.
90 00:11:45.060 ⇒ 00:11:48.199 Uttam Kumaran: Yeah, maybe you go, maybe you answer, and then I can respond.
91 00:11:48.200 ⇒ 00:11:50.859 Amber Lin: Yeah, I think my main goal is to…
92 00:11:50.860 ⇒ 00:12:13.420 Amber Lin: We have some models, but we haven’t connected that with what answers would come out from the AI. So we’ll get a set of questions that they… sample set of questions they want answered, and sort of like with Element, there’s different areas that we’ll work through. So we’ll go one by one, do the models as needed, do the AI context as needed, and make sure answers come up.
93 00:12:13.630 ⇒ 00:12:18.439 Jasmin Multani: Okay Accuracy, okay. And we’re trying to figure out, like, what is the source of truth?
94 00:12:19.020 ⇒ 00:12:27.899 Amber Lin: I assume so, yeah. But I don’t yet know how many hours I’m allocated, weekly or monthly on this client.
95 00:12:28.790 ⇒ 00:12:30.450 Jasmin Multani: then that’s where I lean in, right?
96 00:12:30.560 ⇒ 00:12:31.100 Jasmin Multani: Yeah.
97 00:12:31.100 ⇒ 00:12:35.050 Uttam Kumaran: So that’s where both of us will… we can work on looking at the entire strategy group.
98 00:12:35.290 ⇒ 00:12:40.579 Uttam Kumaran: And seeing, like, where people are allocated. To talk about… yeah, so me and you can work on that.
99 00:12:40.910 ⇒ 00:12:46.470 Jasmin Multani: Okay, cool. So right now, the live…
100 00:12:46.900 ⇒ 00:12:51.319 Jasmin Multani: the main clients I’m working with are CTA Element and Eden.
101 00:12:51.590 ⇒ 00:12:52.300 Jasmin Multani: And then…
102 00:12:52.300 ⇒ 00:12:55.720 Uttam Kumaran: I would say you’re not… well, I guess I would separate, like, what
103 00:12:56.540 ⇒ 00:13:03.980 Uttam Kumaran: There’s several clients that are pulling from the strategy workstream, versus clients that you’re basically also taking tasks on.
104 00:13:04.750 ⇒ 00:13:20.369 Uttam Kumaran: So CTA, it’s just gonna be Amber, me, Anahe, and Ashwini, so I don’t necessarily need your execution there, but what I… what I wanted to inform you is, like, let’s say I’m the CSO, I’m now… I’m now executing strategy tasks.
105 00:13:20.630 ⇒ 00:13:22.990 Uttam Kumaran: for… CTA.
106 00:13:24.290 ⇒ 00:13:25.560 Uttam Kumaran: Does that make sense?
107 00:13:26.770 ⇒ 00:13:28.400 Jasmin Multani: Sorry, can you repeat that last part again?
108 00:13:28.400 ⇒ 00:13:34.090 Uttam Kumaran: So, yeah, so not ev- you’re not gonna be on every client that uses the strategy service line.
109 00:13:34.090 ⇒ 00:13:34.670 Jasmin Multani: Okay.
110 00:13:35.160 ⇒ 00:13:40.319 Uttam Kumaran: So, for CTA, you’re not directly on there, you’re not gonna take on work, but we are…
111 00:13:40.660 ⇒ 00:13:43.900 Uttam Kumaran: We are using the strategy service, right, to accomplish.
112 00:13:43.900 ⇒ 00:13:44.330 Jasmin Multani: Okay.
113 00:13:44.710 ⇒ 00:13:55.049 Jasmin Multani: Okay, okay, so I’m just gonna take what’s standardized, adapt it to CTA, give guidance of how Amber should lean in, and just, like, sanity checks, like, hey, Amber, if you’re spending too much.
114 00:13:55.050 ⇒ 00:13:55.600 Uttam Kumaran: Yes.
115 00:13:55.600 ⇒ 00:14:01.700 Jasmin Multani: desk, then, like, take a step back. So, advising, whereas element is more FaceTime.
116 00:14:02.170 ⇒ 00:14:02.890 Uttam Kumaran: Yes.
117 00:14:02.890 ⇒ 00:14:04.350 Jasmin Multani: Okay, great. Awesome.
118 00:14:04.350 ⇒ 00:14:21.279 Uttam Kumaran: Yeah, so we have, like, a couple other clients, like Global VetLink. We have, like, 3 or 4 other clients that are using Strategy Service that I’m… I’m not even on them, I don’t even know. So, like, it’s usually me or Roberts on… on all of them, and then… but it could be a mix of people from your service.
119 00:14:21.370 ⇒ 00:14:37.230 Uttam Kumaran: that are deployed, and then, of course, you as well. So, I think the first client to focus on, just for your individual time, is going to be Element, but then I think when we go through allocations for the service team, you’ll see a view of, like, all of the clients that are
120 00:14:37.530 ⇒ 00:14:40.800 Uttam Kumaran: Pulling from the… strategy service.
121 00:14:41.840 ⇒ 00:14:46.179 Jasmin Multani: Okay, okay, should I look through linear? Should I just, like, have linear.
122 00:14:46.180 ⇒ 00:14:46.790 Uttam Kumaran: Yeah.
123 00:14:46.790 ⇒ 00:14:47.170 Jasmin Multani: Okay.
124 00:14:47.170 ⇒ 00:14:51.190 Uttam Kumaran: Yeah, yeah, so you can message Rico and say, give me access to every team.
125 00:14:51.450 ⇒ 00:14:55.380 Uttam Kumaran: And that is pulling from the strategy service, or whatever.
126 00:14:55.510 ⇒ 00:15:06.310 Uttam Kumaran: And another way you could do this is, one, I sent a note in the delivery, kind of, team channel where I’m labeling all the tickets. Second, you can also just filter to
127 00:15:06.550 ⇒ 00:15:09.179 Uttam Kumaran: You can just filter to…
128 00:15:09.290 ⇒ 00:15:13.570 Uttam Kumaran: Amber, Greg, Robert, and just see all the tickets that they’re assigned to in Lanier.
129 00:15:15.370 ⇒ 00:15:17.730 Jasmin Multani: Amber, Emmeth, and Robert.
130 00:15:18.290 ⇒ 00:15:18.860 Uttam Kumaran: Yeah.
131 00:15:19.030 ⇒ 00:15:24.990 Jasmin Multani: Okay, cool, cool, cool. Yeah, I’ll do that as a sanity check. I’ve already messaged Rico.
132 00:15:25.110 ⇒ 00:15:31.409 Jasmin Multani: Sorry, it looks like this is a net new client. I’m just looking at the dates of that Notion, or of that.
133 00:15:31.780 ⇒ 00:15:33.750 Uttam Kumaran: Or CTA? No, this is a…
134 00:15:34.190 ⇒ 00:15:38.859 Uttam Kumaran: We’ve been working with them for a while. This is just their Q2 SOW.
135 00:15:39.050 ⇒ 00:15:39.480 Jasmin Multani: Okay.
136 00:15:39.480 ⇒ 00:15:43.979 Uttam Kumaran: So, like, yeah, this is just the second… this is just an extension renewal plan.
137 00:15:45.250 ⇒ 00:15:48.340 Jasmin Multani: And we’ve been with them since Q1 2026.
138 00:15:49.910 ⇒ 00:15:53.579 Uttam Kumaran: Yeah, I think… no, I think we’ve actually worked them last… in Q4.
139 00:15:53.830 ⇒ 00:15:54.520 Jasmin Multani: Okay.
140 00:15:54.910 ⇒ 00:15:55.500 Uttam Kumaran: Yeah.
141 00:15:56.970 ⇒ 00:16:09.260 Uttam Kumaran: But again, you can, you can message Rico, you can message RICO and see the other SOWs and pieces like that. And then a lot of this context should be in the platform as well, so if you ask in cursor, it should tell you.
142 00:16:10.410 ⇒ 00:16:11.350 Jasmin Multani: Perfect group.
143 00:16:11.910 ⇒ 00:16:16.829 Jasmin Multani: Alright, I think next steps would be reading through these, and then comparing
144 00:16:17.130 ⇒ 00:16:21.070 Jasmin Multani: Just, like, also, like, cross-referencing what’s my bandwidth, and…
145 00:16:22.370 ⇒ 00:16:30.099 Jasmin Multani: which clients I, like we said, like, is high touchpoint, which clients, I’m just, like, leaning in as advice.
146 00:16:30.840 ⇒ 00:16:36.640 Jasmin Multani: Is there… do you want me to attend any of, like, the internal meetings or anything?
147 00:16:36.960 ⇒ 00:16:41.249 Uttam Kumaran: No, I think… I think, like, don’t sign up for anything recurring unless you’re, like.
148 00:16:41.550 ⇒ 00:16:47.009 Uttam Kumaran: Unless you’re leading, or unless you’re actively on the client. Otherwise, I think you’ll just get pulled in.
149 00:16:47.160 ⇒ 00:17:04.490 Uttam Kumaran: Well, we’re, like, we’ll operate everything on Slack, so a couple things is, like, the biggest things to watch out for is the escalations that you mentioned. Okay, someone in my service line’s struggling to execute part of the service is a CSO that’s delivering my service, struggling to get the value across, or…
150 00:17:04.790 ⇒ 00:17:24.029 Uttam Kumaran: basically, like, deliver that work. And then, like, what are the clients that are using the service, right? So, I think that’s the… the last question is something that I want to answer with all the service leads, like, either, like, probably by tomorrow. So maybe tomorrow, as service leads, we can all meet, and we can walk through, like.
151 00:17:24.190 ⇒ 00:17:25.839 Uttam Kumaran: All of our client book.
152 00:17:26.190 ⇒ 00:17:28.790 Uttam Kumaran: Which clients are pulling from what service?
153 00:17:28.970 ⇒ 00:17:35.190 Uttam Kumaran: And then, like, what is the… basically, like, what is the list of, like, Delivery resources right now.
154 00:17:35.310 ⇒ 00:17:39.869 Uttam Kumaran: Sam today is going through and allocating for his team.
155 00:17:39.980 ⇒ 00:17:47.690 Uttam Kumaran: So I kind of wanted him to sort of demonstrate, like, okay, what is… what did allocation look like on his team? What was easier or difficult about?
156 00:17:47.820 ⇒ 00:17:50.289 Uttam Kumaran: Making sure that people were allocated.
157 00:17:50.530 ⇒ 00:17:52.099 Uttam Kumaran: Things like that.
158 00:17:52.280 ⇒ 00:18:00.109 Jasmin Multani: Yeah, and I also, like, want to know how he measured that, like, did he lean on linear, did he lean on producer interaction, or, like…
159 00:18:00.720 ⇒ 00:18:04.869 Jasmin Multani: any adoption rates from the clients as well, I think that’d be helpful to know.
160 00:18:05.160 ⇒ 00:18:12.139 Uttam Kumaran: Yeah, so the biggest thing is, like, we try to maintain that people, like, 80-90% of people’s time is booked, you know.
161 00:18:12.330 ⇒ 00:18:21.709 Uttam Kumaran: to a client. Giving Amber’s example, right? She’s gonna be on Eden CTA, and then she’s also gonna have some time dedicated to the learning and development team, which is an internal team.
162 00:18:21.850 ⇒ 00:18:25.209 Uttam Kumaran: Similarly for SLs and CSOs, right.
163 00:18:25.370 ⇒ 00:18:32.260 Uttam Kumaran: everybody in that channel and everybody is working on clients still, so nobody’s, like, 100%, I’m just, like.
164 00:18:32.620 ⇒ 00:18:43.660 Uttam Kumaran: even me, like, nobody’s, like, 100%, I’m just, like, kind of planning stuff, right? So, I think it’s helpful to say, like, okay, my time is split between these two clients, and then I have, like, my SL responsibilities.
165 00:18:44.040 ⇒ 00:18:47.460 Uttam Kumaran: And, like, that’s how you’re gonna start to look at your team as well.
166 00:18:47.730 ⇒ 00:18:54.130 Uttam Kumaran: And then I think what, over the next few weeks, we’ll get into the rhythm of, like, how do we proactively flag whether there’s, like.
167 00:18:54.430 ⇒ 00:18:56.800 Uttam Kumaran: Service defect or something, and like.
168 00:18:56.800 ⇒ 00:18:57.270 Jasmin Multani: Boom.
169 00:18:57.270 ⇒ 00:19:04.250 Uttam Kumaran: Was there a playbook that didn’t get used? Was there a playbook at all? Like, that’s the… more of, like, probably in the next 30 days for us to start to get the…
170 00:19:04.370 ⇒ 00:19:17.000 Uttam Kumaran: the intuition on. But that’s what I’m pushing down into the service leads, to basically be like, within your service, if there’s an issue, it’s like, who’s having the issue? Was there… was there a playbook? What are the remediation steps, you know?
171 00:19:18.850 ⇒ 00:19:20.689 Jasmin Multani: Okay, yeah, and I don’t… I’m…
172 00:19:21.140 ⇒ 00:19:29.259 Jasmin Multani: One, understand, like, what the difference is between each service lead, beyond just, like, having different clients.
173 00:19:29.990 ⇒ 00:19:46.090 Uttam Kumaran: Yeah, so each of the service leads, and this is also in cursor, each of the service leads is assigned one or many subservices. So we have three high-level services, data, AI, strategy, analytics. Within them, there’s anywhere from 3 to 5 subservices.
174 00:19:46.350 ⇒ 00:20:02.439 Uttam Kumaran: So, like, in… but right now, it’s just… it’s just you, Demi, Sam, and Awash, and Zoram. So, you own most of what’s in the strategy service. Demi and Awash split, like, the data service half and half. Sam runs everything in AI.
175 00:20:02.670 ⇒ 00:20:08.080 Uttam Kumaran: But you could see a world in where, like, for example, if our, like, if our snowflake
176 00:20:08.280 ⇒ 00:20:12.890 Uttam Kumaran: If our Snowflake Establishment Service, which is under Oasis purview.
177 00:20:13.290 ⇒ 00:20:17.330 Uttam Kumaran: gets huge. You could see how some person… one person just may run that.
178 00:20:17.740 ⇒ 00:20:25.580 Uttam Kumaran: You know, so it creates a framework for us to bring on more service leads to own, like, one service line, and then the service line
179 00:20:25.840 ⇒ 00:20:29.959 Uttam Kumaran: May get larger, but also helps us attribute revenue back to a service line.
180 00:20:30.580 ⇒ 00:20:31.510 Jasmin Multani: Okay.
181 00:20:31.510 ⇒ 00:20:40.090 Uttam Kumaran: so that you can think about a client comes into Brainforge, and they pick from, like, a menu of services, right? And so the CSO’s job is, like, that client is theirs.
182 00:20:40.660 ⇒ 00:20:43.139 Uttam Kumaran: Service lead’s job is, like, the service is mine.
183 00:20:43.350 ⇒ 00:20:47.460 Jasmin Multani: Okay. Right. Yeah, it’s cementing. The more…
184 00:20:47.460 ⇒ 00:20:56.340 Uttam Kumaran: Yeah, so you’ll see… you’ll see in the… in the… in cursor as well, there’s a… I’ve tried to work on a lot of analogies, like, one is, like, restaurants, right? So, restaurant, you have, like.
185 00:20:56.670 ⇒ 00:21:08.370 Uttam Kumaran: dessert station entree, but you also have people that are, like, at the pass, making sure that things… you also have the waiter, right? So it’s not like the… the client doesn’t go to the chef and be like.
186 00:21:08.430 ⇒ 00:21:18.649 Uttam Kumaran: this is wrong. They talk to the waiter, right? So there’s, like, account… there’s someone who’s, like, the first person who owns a relationship, versus, like, the restaurant is run, like, all these various stations.
187 00:21:18.710 ⇒ 00:21:33.860 Uttam Kumaran: Right? And so, like, I think you’ll start to see the matrix sort of form, and then what the expectations are of, like, every… because I also have a bunch of expectations as head of delivery, so that’s what I mentioned to Garrett, is, like, I’m also looking for feedback on, like, what’s unclear.
188 00:21:34.200 ⇒ 00:21:41.300 Uttam Kumaran: Like, where have I not set the standards properly? Like, how do… how did things escalate to me to then intervene? Things like that.
189 00:21:42.690 ⇒ 00:21:43.460 Jasmin Multani: Okay.
190 00:21:43.860 ⇒ 00:21:45.200 Jasmin Multani: Okay, okay, sounds good.
191 00:21:45.200 ⇒ 00:21:52.599 Uttam Kumaran: So it’s a little bit of a meta role, right? It’s like, you’re not only still executing as part of your service, but you’re also, like.
192 00:21:52.870 ⇒ 00:21:56.650 Uttam Kumaran: any time a strategy deck gets created at Brainforge.
193 00:21:56.770 ⇒ 00:22:01.740 Uttam Kumaran: your name is, like, stamped on that. Meaning, it’s… it’s your service.
194 00:22:01.740 ⇒ 00:22:02.130 Jasmin Multani: Yeah.
195 00:22:02.130 ⇒ 00:22:05.830 Uttam Kumaran: Right? So it’s like… it’s like being in charge of the doors at Tesla.
196 00:22:05.830 ⇒ 00:22:06.910 Jasmin Multani: Right, it’s like…
197 00:22:06.990 ⇒ 00:22:09.630 Uttam Kumaran: Okay, like, everything about outdoors
198 00:22:09.790 ⇒ 00:22:24.689 Uttam Kumaran: door innovation, why the handle’s kind of fucked up on the Tesla, all of that is, like, all you, versus someone is still putting the car together, right? And being like, here, put the bow on the car and get it to the family, right? So that’s the sort of distinction.
199 00:22:25.340 ⇒ 00:22:27.220 Jasmin Multani: That’s a good analogy. Okay, that makes sense.
200 00:22:27.220 ⇒ 00:22:29.599 Uttam Kumaran: I’ve tried to think about multiple.
201 00:22:29.600 ⇒ 00:22:32.950 Jasmin Multani: I was like, cooking… no.
202 00:22:32.950 ⇒ 00:22:37.049 Uttam Kumaran: If it’s not working, then yes, we have, like, more, like, manufacturing-related, like, analogies, but…
203 00:22:37.050 ⇒ 00:22:37.999 Jasmin Multani: I think that’s easier.
204 00:22:38.000 ⇒ 00:22:51.410 Uttam Kumaran: Yeah, that’s the sort of thing, it’s, like, in charge of the way, like… so you’re minimizing defects, you’re making sure that a door always takes this amount of time, and then you… once that’s good, you then can think about how do we make a better door, faster door, right? Like.
205 00:22:52.350 ⇒ 00:23:00.319 Uttam Kumaran: Alright, how do I get other people to build doors without even knowing how a door works? Like, that’s the innovation layer, you know?
206 00:23:00.610 ⇒ 00:23:01.780 Jasmin Multani: Yeah, okay.
207 00:23:01.980 ⇒ 00:23:03.410 Jasmin Multani: Okay, that makes sense.
208 00:23:04.260 ⇒ 00:23:09.690 Jasmin Multani: Is there anything else, Amber, that you should… you advise that I should do?
209 00:23:10.010 ⇒ 00:23:13.070 Jasmin Multani: Like, what would… Amber, what would you want from a service lead?
210 00:23:13.730 ⇒ 00:23:17.850 Amber Lin: Bluesem, do you need to be on your service… your sales call?
211 00:23:19.260 ⇒ 00:23:25.890 Uttam Kumaran: I can drop, I’m… I have other stuff to do, yeah, I was gonna hop, I can hop there. If you guys want to stay in chat, feel free.
212 00:23:26.260 ⇒ 00:23:27.539 Jasmin Multani: Yeah, yeah, thank you.
213 00:23:27.540 ⇒ 00:23:28.080 Amber Lin: Oh!
214 00:23:28.080 ⇒ 00:23:28.690 Jasmin Multani: minutes.
215 00:23:28.690 ⇒ 00:23:29.960 Amber Lin: Jasmine, I don’t think…
216 00:23:30.160 ⇒ 00:23:39.009 Amber Lin: there’s much yet. I do want to grab time with you, maybe tomorrow, because there’s some Omni certification stuff that’s coming up.
217 00:23:39.210 ⇒ 00:23:46.890 Amber Lin: And I know you’re… as part of onboarding, we have the Brainforce curriculum. I don’t know if you’re… you’ve started that already.
218 00:23:46.890 ⇒ 00:23:50.960 Jasmin Multani: I don’t even know what the… I don’t think I can dock for that.
219 00:23:51.680 ⇒ 00:23:55.690 Jasmin Multani: I… let me ask Kayla what that is.
220 00:23:55.690 ⇒ 00:24:02.989 Amber Lin: Okay, well, I think Brow’s still developing that, so if you haven’t received it, it probably means it’s not… he hasn’t sent it yet, so no worries.
221 00:24:02.990 ⇒ 00:24:10.400 Jasmin Multani: Yeah, yeah, no worries. I’m like, I do not… my transition from part-time to full-time was… Me.
222 00:24:10.400 ⇒ 00:24:11.670 Amber Lin: They have it.
223 00:24:11.670 ⇒ 00:24:15.210 Jasmin Multani: Yeah, and I’m… I… they’re like, okay, you’re on. Okay.
224 00:24:15.330 ⇒ 00:24:21.579 Jasmin Multani: Okay, yeah, but that’s a really helpful, call-out. I’ll keep an eye on that.
225 00:24:22.100 ⇒ 00:24:22.690 Amber Lin: Cool.
226 00:24:22.860 ⇒ 00:24:28.710 Jasmin Multani: And I’ll just ask Kayla for, like, a… I’m sure she has something, if Garrett’s even onboarding full-time.
227 00:24:30.100 ⇒ 00:24:45.459 Amber Lin: People have something, so there’s that, and then the OmniCerts, which the whole strategy team is going to do, so I also want to, like, talk to you about that, so we can push people along. People get busy. It’s not that they don’t want to do it, but then…
228 00:24:45.600 ⇒ 00:24:48.769 Amber Lin: other priorities oversee this, but I think.
229 00:24:48.770 ⇒ 00:24:49.290 Jasmin Multani: 9.
230 00:24:49.290 ⇒ 00:24:58.199 Amber Lin: Utom and Ryle, they want this to be a priority, because we get clients from Omni, so just want to make sure we also do that.
231 00:24:59.940 ⇒ 00:25:04.259 Jasmin Multani: Let me message him. So there’s a brain forge through a regulum.
232 00:25:04.260 ⇒ 00:25:13.099 Amber Lin: Yeah, so, that browse is developing, and I’ll send you the link to the OmniCerts page.
233 00:25:13.500 ⇒ 00:25:17.709 Amber Lin: So… you can take a… take a read.
234 00:25:31.760 ⇒ 00:25:32.950 Jasmin Multani: Yo.
235 00:25:33.070 ⇒ 00:25:37.220 Jasmin Multani: Okay, cool. I…
236 00:25:37.550 ⇒ 00:25:47.880 Jasmin Multani: We’ll look at the Omni certification, thank you for calling that out. And then I’ll ask Kayla if there’s anything else outside of this Omni, or I’ve already asked.
237 00:25:48.060 ⇒ 00:25:51.860 Jasmin Multani: If there’s anything outside of the Omni circuit picture.
238 00:25:51.860 ⇒ 00:25:57.310 Amber Lin: Cool, yeah, nothing else from me yet. I’m meeting with Garrett tomorrow, so…
239 00:25:57.900 ⇒ 00:25:59.790 Amber Lin: Then we’ll have the full team.
240 00:26:00.040 ⇒ 00:26:03.259 Jasmin Multani: Awesome! Alright! Alright.
241 00:26:03.260 ⇒ 00:26:04.690 Amber Lin: Okay, thank you.
242 00:26:04.690 ⇒ 00:26:05.580 Jasmin Multani: Take care!
243 00:26:05.580 ⇒ 00:26:07.220 Amber Lin: Yeah, I’ll talk to you soon. Bye.