Meeting Title: Brainforge Omni Playbook Development Sync Date: 2026-04-02 Meeting participants: Jasmin Multani, Greg Stoutenburg
WEBVTT
1 00:01:45.310 ⇒ 00:01:47.190 Jasmin Multani: It really is, like, pops.
2 00:01:47.560 ⇒ 00:01:48.650 Jasmin Multani: Only once in a while.
3 00:01:51.470 ⇒ 00:01:53.900 Jasmin Multani: That’s my mirror.
4 00:01:54.480 ⇒ 00:01:55.439 Jasmin Multani: It’s getting bored.
5 00:02:14.820 ⇒ 00:02:15.660 Greg Stoutenburg: Hey, Jasmine.
6 00:02:17.400 ⇒ 00:02:20.389 Jasmin Multani: Hello! How’s it going? Can you hear me okay?
7 00:02:20.390 ⇒ 00:02:23.499 Greg Stoutenburg: Doing alright! Yeah, I can hear you, yeah. How’s it going? .
8 00:02:24.070 ⇒ 00:02:25.760 Jasmin Multani: Good, good, yeah.
9 00:02:26.500 ⇒ 00:02:29.699 Jasmin Multani: talk about Omni. Yeah.
10 00:02:31.030 ⇒ 00:02:41.810 Greg Stoutenburg: Good. It’s been… it’s… it’s felt… today’s… today’s been kind of intense, but it’s been, it’s felt calmer, it seems like, with some of the changes that are happening with team structure and things. We’re starting to, like, get a pace.
11 00:02:41.920 ⇒ 00:02:43.130 Greg Stoutenburg: That’s, like…
12 00:02:43.290 ⇒ 00:03:00.079 Greg Stoutenburg: Good. Pace, that’s good. It’s not good… it’s great to be, you know, busy and productive with things, but it’s not good to, feel like you’re racing around and don’t really have perspective on what you’re doing, because you’re going too fast. So, yeah, I’m… I’m glad you’re gonna be full-time shortly.
13 00:03:00.080 ⇒ 00:03:04.280 Jasmin Multani: I know, I keep seeing the Slack messages, and I’m like, I’m only part-time, I literally can’t.
14 00:03:04.280 ⇒ 00:03:07.239 Greg Stoutenburg: I know, I don’t… oh, I think… yeah, I don’t…
15 00:03:07.470 ⇒ 00:03:20.349 Greg Stoutenburg: the way people use the words full-time and part-time around here do not align with how I have used those words in my life, so I’ll put it that way. Yeah. I’m hourly, so…
16 00:03:20.350 ⇒ 00:03:22.919 Jasmin Multani: Like, creating the boundaries so that, like, buys…
17 00:03:23.690 ⇒ 00:03:32.970 Jasmin Multani: boundaries so that I feel healthy. Yeah. I’m literally just going to doctor’s appointments, like, yesterday I had acupuncture, and then, just going to these things so that by the time I.
18 00:03:32.970 ⇒ 00:03:33.560 Greg Stoutenburg: Excellent.
19 00:03:33.560 ⇒ 00:03:41.449 Jasmin Multani: Like, I’m fully focused. So that’s why I’m like, okay, I know I have to do this, but I know it’ll be better if I just…
20 00:03:41.680 ⇒ 00:03:46.919 Jasmin Multani: Wait a few days, literally just wait a few days, and then hit the ground running.
21 00:03:47.200 ⇒ 00:03:51.750 Greg Stoutenburg: Yeah, no, I agree, yeah. And, I mean, I’m also someone who, like,
22 00:03:51.920 ⇒ 00:04:01.969 Greg Stoutenburg: I like to not have things waiting on me. I like to not be the blocker. But, you know, I… so it takes some discipline, you know, when that… when that 8 o’clock Slack message comes in, it’s like.
23 00:04:02.100 ⇒ 00:04:07.120 Greg Stoutenburg: I could answer this, but I don’t want them to think that if they Slack me at 8, I’m gonna answer.
24 00:04:07.750 ⇒ 00:04:09.460 Jasmin Multani: I think that’s a good…
25 00:04:09.830 ⇒ 00:04:15.700 Jasmin Multani: I think that’s a good enforcement, because it also forces people to get their work done earlier.
26 00:04:15.900 ⇒ 00:04:17.010 Greg Stoutenburg: Yeah, yeah.
27 00:04:17.010 ⇒ 00:04:27.350 Jasmin Multani: I mean, yeah, I think I’m gonna… I’m gonna have a strict, like, no… no pings after 6.30pm, yeah. …type of a… Yeah.
28 00:04:28.310 ⇒ 00:04:35.960 Greg Stoutenburg: Yeah, yeah. No, I agree, and you know, and whatever that time is, like, I don’t know. I want to be thought of as someone, like, if you don’t see the green dot.
29 00:04:36.140 ⇒ 00:04:36.810 Jasmin Multani: Exactly.
30 00:04:36.810 ⇒ 00:04:38.770 Greg Stoutenburg: Don’t think I’m around.
31 00:04:39.130 ⇒ 00:04:41.530 Greg Stoutenburg: Yeah. Anyway.
32 00:04:41.810 ⇒ 00:04:48.949 Greg Stoutenburg: Yeah, anyway, but no, this has been good, and yeah, there have been a lot of… there’s been a lot of, like, Jasmine’s gonna come on board and rescue you, so.
33 00:04:48.950 ⇒ 00:04:49.660 Jasmin Multani: Oh, yeah.
34 00:04:49.660 ⇒ 00:04:53.119 Greg Stoutenburg: So I hope that acupuncture was great.
35 00:04:53.120 ⇒ 00:04:59.379 Jasmin Multani: It was. It… felt things that I did not realize I would feel, and I’m like.
36 00:04:59.380 ⇒ 00:05:00.740 Greg Stoutenburg: Yeah, sure.
37 00:05:00.740 ⇒ 00:05:04.760 Jasmin Multani: straighten my leg, because she’s also one of my yoga instructors.
38 00:05:04.760 ⇒ 00:05:05.310 Greg Stoutenburg: Okay.
39 00:05:05.310 ⇒ 00:05:15.749 Jasmin Multani: lengthened… she was like, yeah, your leg is length, shorter than the other, so she lengthened that, and even as I’m, like, lying around, I’m, like, scared that I’m gonna feel the…
40 00:05:16.320 ⇒ 00:05:16.950 Jasmin Multani: But, like…
41 00:05:16.950 ⇒ 00:05:17.440 Greg Stoutenburg: Hmm.
42 00:05:17.440 ⇒ 00:05:20.380 Jasmin Multani: I’m like, oh wait, it’s not there, I can… I can, like…
43 00:05:20.610 ⇒ 00:05:23.499 Jasmin Multani: Slouchy a bit more, but maybe not too much. Yeah.
44 00:05:23.690 ⇒ 00:05:37.420 Greg Stoutenburg: Yeah, yeah. Yeah, yeah, I know, I’ve been, just telling my brother this yesterday, like, I… so my… I have my computer on a stand over here, and then I have, a wireless keyboard that’s much closer to me, and a mouse, so, like, old-school setup.
45 00:05:37.420 ⇒ 00:05:45.530 Greg Stoutenburg: But I’m like, man, by the end of the day, like, I can just feel it on my shoulders, just from being in that forward position. Yeah. Like, humans are not supposed to be in this position.
46 00:05:46.270 ⇒ 00:05:47.219 Greg Stoutenburg: Not so long.
47 00:05:47.520 ⇒ 00:05:48.109 Greg Stoutenburg: By the way.
48 00:05:48.110 ⇒ 00:05:49.590 Jasmin Multani: Mongo.
49 00:05:50.720 ⇒ 00:05:52.579 Greg Stoutenburg: Omni. Omni.
50 00:05:52.580 ⇒ 00:05:52.900 Jasmin Multani: Do it.
51 00:05:52.900 ⇒ 00:06:01.270 Greg Stoutenburg: Yes. So, I mean, so I think the occasion for the meeting was, I think, Robert, maybe, said we should talk about Omni playbook development.
52 00:06:01.510 ⇒ 00:06:15.809 Greg Stoutenburg: Okay. I mean, beyond context as in cursor, I guess I’ll just say… I’ll just say, like, what my experience has been getting Omni up and running. Now, for… for me, this is just the second client, and, they had already rolled Omni onto default.
53 00:06:15.840 ⇒ 00:06:33.030 Greg Stoutenburg: And I didn’t have anything to do with it, and they’re, like, just now standing up some of the dashboards, as I’m getting involved there. So this has less to do with, like, the setup of Omni and more just dashboard building. So I think, insofar as we need an Omni playbook, it’s gonna be about setting up Omni.
54 00:06:34.350 ⇒ 00:06:41.659 Jasmin Multani: Okay, yeah, so, like, let’s say… That includes, like, securing the licensing and negotiating.
55 00:06:41.660 ⇒ 00:06:57.009 Greg Stoutenburg: Yep. Yep. So what we’ve done, and so I’ll just ignore default and just speak to Element and Eden, because for both of those, I was involved in organizing what needs to be live in Omni.
56 00:06:57.360 ⇒ 00:07:03.220 Greg Stoutenburg: Who needs to review it and like it, and then involved as well in the sales process.
57 00:07:03.830 ⇒ 00:07:04.730 Jasmin Multani: Okay.
58 00:07:07.790 ⇒ 00:07:11.330 Greg Stoutenburg: So… I mean, I think the perspective is.
59 00:07:11.900 ⇒ 00:07:23.040 Greg Stoutenburg: The foundation that we need is just, like, good data, good data architecture to begin with, meaning that’s things like a built-out data platform documentation spreadsheet.
60 00:07:23.310 ⇒ 00:07:28.790 Greg Stoutenburg: With what the… what the client wants measured, how they want it measured.
61 00:07:29.130 ⇒ 00:07:31.720 Greg Stoutenburg: Alignment on things like metrics definitions.
62 00:07:32.820 ⇒ 00:07:43.819 Greg Stoutenburg: Yes. Spec for building dashboards, right? Like, those sorts of things. And then, but then, like, what’s Omni-specific? So, we engage with sales when we have a client who’s interested in a BI tool.
63 00:07:43.940 ⇒ 00:07:47.210 Greg Stoutenburg: And is open to that being Omni. And then we get…
64 00:07:47.500 ⇒ 00:07:54.990 Greg Stoutenburg: access to the instance, we connect BigQuery or whatever we need to connect Omni to to get data flowing in.
65 00:07:55.260 ⇒ 00:08:00.810 Greg Stoutenburg: And then we need our engineers to…
66 00:08:00.920 ⇒ 00:08:05.330 Greg Stoutenburg: To use that spec that we’ve already set up, and begin dashboarding.
67 00:08:05.830 ⇒ 00:08:06.800 Greg Stoutenburg: No.
68 00:08:07.000 ⇒ 00:08:08.189 Jasmin Multani: What do you mean by spec?
69 00:08:08.770 ⇒ 00:08:16.299 Greg Stoutenburg: You know, about, like, what dashboards are gonna go in, what the metrics definitions are, and things like that. So we need to have that foundation in place already.
70 00:08:16.550 ⇒ 00:08:28.760 Greg Stoutenburg: And then we get access to Omni, connect it to a data source, and then, the part that’s interesting about Omni, and that makes it sort of a unique product, is then our engineers will build what they call the semantic layer.
71 00:08:29.140 ⇒ 00:08:29.660 Greg Stoutenburg: And…
72 00:08:30.120 ⇒ 00:08:42.090 Greg Stoutenburg: the idea of the semantic layer, I have no idea how much you know about Omni, or BI tools or where we are, so I’m just gonna… I’m just trying to do the whole Omni spiel. so you could just point an LLM at a database.
73 00:08:42.090 ⇒ 00:08:50.149 Greg Stoutenburg: and ask questions, but the LLM’s gonna make guesses about what you’re interested in, which tables are relevant, it’s just gonna kinda, you know, wing it.
74 00:08:50.190 ⇒ 00:08:56.649 Greg Stoutenburg: the way LLMs do. What you can do in Omni is we build the semantic layer, which is basically
75 00:08:56.780 ⇒ 00:09:03.280 Greg Stoutenburg: Topics, which are joins of tables that we think are relevant to a subject matter that someone would ask about.
76 00:09:04.240 ⇒ 00:09:10.429 Greg Stoutenburg: And then we can also do, like, stipulate certain definitions. And what that’s gonna do…
77 00:09:10.920 ⇒ 00:09:17.649 Greg Stoutenburg: is when a user asks a question, say, you know, say Shobani asks a question about revenue.
78 00:09:18.420 ⇒ 00:09:26.840 Greg Stoutenburg: we’re gonna go, okay, we know that when Shivani asked a question about revenue, we need to look at these, you know, these three marts that we’ve put together and called the retail topic.
79 00:09:27.240 ⇒ 00:09:36.410 Greg Stoutenburg: And that’s where the data’s gonna come from. It’s not gonna come from these other, you know, finance spreadsheets or something that mention revenue or whatever, right? It’s gonna look at these ones and not those ones.
80 00:09:36.580 ⇒ 00:09:39.790 Greg Stoutenburg: That’s engineering work on our side. Yeah, go ahead.
81 00:09:39.940 ⇒ 00:09:50.249 Jasmin Multani: You said, set up BI to connect to data source. Assuming that, what would the data source be if these clients are still working out of their spreadsheets?
82 00:09:50.750 ⇒ 00:09:53.380 Greg Stoutenburg: Yeah. So…
83 00:09:53.940 ⇒ 00:10:02.850 Greg Stoutenburg: what we… so we can use Omni with, like, manual pulls. Demi would know more about how that’s gone for default than I do.
84 00:10:03.010 ⇒ 00:10:06.050 Greg Stoutenburg: But, like, just today, just right before this call.
85 00:10:06.480 ⇒ 00:10:11.949 Greg Stoutenburg: He demoed a dashboard that was based off of Google Sheets reports.
86 00:10:12.280 ⇒ 00:10:13.410 Jasmin Multani: Oh, wow, okay.
87 00:10:13.410 ⇒ 00:10:26.449 Greg Stoutenburg: Sounds like magic to me, I don’t know, is there, like, an upload CSV button somewhere? I do not know. I don’t know what that part of it looks like. For Eden, there’s just a place where it’s, like, connections, and we’ve connected to Eden’s BigQuery, and all the data is just coming from BigQuery.
88 00:10:28.240 ⇒ 00:10:30.260 Jasmin Multani: Okay, so very versatile.
89 00:10:30.490 ⇒ 00:10:31.640 Greg Stoutenburg: Yeah.
90 00:10:32.450 ⇒ 00:10:35.789 Jasmin Multani: Or… Okay, this is helpful.
91 00:10:36.340 ⇒ 00:10:37.040 Greg Stoutenburg: Let’s go.
92 00:10:40.680 ⇒ 00:10:42.650 Jasmin Multani: Good too.
93 00:10:43.720 ⇒ 00:10:50.169 Greg Stoutenburg: Continue, yeah. So, okay, so then our engineers build the semantic layer, and…
94 00:10:50.470 ⇒ 00:11:01.139 Greg Stoutenburg: This is, you know, we also just call this, like, a training blobby, so the idea is that when someone asks Blobby a question, it’s going to give the kind of data that the stakeholder is going to find interesting and useful.
95 00:11:01.210 ⇒ 00:11:15.310 Greg Stoutenburg: We’re less concerned about anything like data accuracy, because if we already have reporting that we know is reliable, right, like, that’s sort of out of the scope of Omni as such. And we’re just talking about Omni right now. So, what…
96 00:11:15.450 ⇒ 00:11:30.940 Greg Stoutenburg: what I’ve already seen, just being on the second ass of getting Omni stood up, is really critical from, like, a project management perspective, is making sure that there is that initial alignment with the client on what questions they want to be able to answer with their data.
97 00:11:31.340 ⇒ 00:11:32.999 Greg Stoutenburg: And, yeah.
98 00:11:33.000 ⇒ 00:11:35.210 Jasmin Multani: that spreadsheet with Shivani.
99 00:11:35.430 ⇒ 00:11:48.230 Greg Stoutenburg: Yep, yep. Shivani’s actually doing a great job of, like, insisting on the importance of that. It’s like, yes, you are right, and this is why this project’s gonna be so successful, like, because you’re being a stickler about it. So, you know, props to her being a stickler about it.
100 00:11:48.890 ⇒ 00:11:55.339 Greg Stoutenburg: And really, you know, like, from a team perspective internally here at Brainforge.
101 00:11:55.790 ⇒ 00:12:14.570 Greg Stoutenburg: trying to remind everyone what a dashboard is for. Like, I mean, I like to say, like, no one… no one has ever wanted a dashboard, like, intrinsically, you know? Like, that’s not something that we want. It’s… we want it because it’s going to help answer questions. So, since it’s supposed to be a source of answering questions, that’s why we want
102 00:12:14.760 ⇒ 00:12:26.609 Greg Stoutenburg: certain data showing up, represented a certain way. We want things like definitions written on those dashboards and so on. And, like, your spec the other day that you put together is great for… for, you know, pointing to the value of that kind of thing.
103 00:12:26.740 ⇒ 00:12:29.370 Greg Stoutenburg: Okay, I feel like I got off topic.
104 00:12:29.830 ⇒ 00:12:46.600 Greg Stoutenburg: Okay, back to Omni. So, yeah, so we build that semantic layer. We need to go through an iteration of just asking blobby questions from the stakeholder. This is something that I think we really got right with Element in asking Shivani to tell us
105 00:12:46.690 ⇒ 00:12:54.180 Greg Stoutenburg: What are some things that stakeholders in the various groups that need reporting? What are questions that they want to know the answers to?
106 00:12:54.400 ⇒ 00:13:00.840 Greg Stoutenburg: And we got her to just write them down, and what… yeah, when you were on that call, maybe a week and a half ago or so,
107 00:13:01.730 ⇒ 00:13:08.549 Greg Stoutenburg: I said, we’re just gonna treat these as acceptance criteria, when Blobby concisely and accurately answers these questions.
108 00:13:08.780 ⇒ 00:13:17.539 Greg Stoutenburg: That are based on our topics being joined correctly, and the semantic layer being built correctly, then we’ve done our job.
109 00:13:19.120 ⇒ 00:13:27.390 Greg Stoutenburg: And from… then from there, the rest of the Omni work is just, you know, adoption and enablement. We can talk about those things, I don’t know… I don’t know how extensive this playbook
110 00:13:28.010 ⇒ 00:13:29.490 Greg Stoutenburg: Is intended to be.
111 00:13:30.020 ⇒ 00:13:37.489 Jasmin Multani: Okay, so… I was just told to, like, standardize things. I’m like.
112 00:13:37.490 ⇒ 00:13:41.600 Greg Stoutenburg: Yeah, yeah, yeah, that… right, that’s your job, standardize stuff, for this, yeah.
113 00:13:41.600 ⇒ 00:13:45.330 Jasmin Multani: Didn’t I standardize the dashboarding ass before? So…
114 00:13:45.330 ⇒ 00:13:45.800 Greg Stoutenburg: Yeah.
115 00:13:45.800 ⇒ 00:13:48.889 Jasmin Multani: To figure out… I think you…
116 00:13:49.070 ⇒ 00:14:06.900 Jasmin Multani: unveiled how far back I needed to standardize, because I think I… everything I’ve written so far is from, like, the second that an analyst gets an ask to build a dashboard, and assuming things are all built out, what do they have to do? So this takes it a step further upstream.
117 00:14:06.900 ⇒ 00:14:07.280 Greg Stoutenburg: Yeah.
118 00:14:08.920 ⇒ 00:14:23.040 Greg Stoutenburg: Well, I would maybe clarify that with, whoever asked for this playbook, because it could be that I’m mistaken. When I hear Omni, I think we’re talking the specifics of Omni, and not, like, you know, just dashboarding that just happens to be in Omni, you know what I mean?
119 00:14:23.470 ⇒ 00:14:35.760 Jasmin Multani: I think it was just, like, delivery. It’s like, what does… what does someone who’s on the delivery side need to deliver? And it’s assuming… Got it. Assuming no hand-holding. So.
120 00:14:35.760 ⇒ 00:14:36.240 Greg Stoutenburg: craf.
121 00:14:36.240 ⇒ 00:14:37.220 Jasmin Multani: gonna live…
122 00:14:38.260 ⇒ 00:14:44.980 Jasmin Multani: I like that you, took my specs and uploaded it to Cursor. I think that’s a good,
123 00:14:45.190 ⇒ 00:14:54.590 Jasmin Multani: And deliverables. Also have, like, the… the full-on, document, and checklist, so people can, like,
124 00:14:54.890 ⇒ 00:15:03.559 Jasmin Multani: evolve it and poke holes at it, but, I think the end state could also be having a cursor.
125 00:15:03.560 ⇒ 00:15:04.110 Greg Stoutenburg: Yep.
126 00:15:04.110 ⇒ 00:15:08.759 Jasmin Multani: I’m meeting with them on Monday, so,
127 00:15:09.030 ⇒ 00:15:14.429 Jasmin Multani: I’ll have some example documents set up by then.
128 00:15:14.690 ⇒ 00:15:19.429 Jasmin Multani: And not just the V0 to V1 that I shared.
129 00:15:19.430 ⇒ 00:15:20.560 Greg Stoutenburg: Yeah.
130 00:15:20.560 ⇒ 00:15:30.410 Jasmin Multani: I think I have to talk to Demi and Ashwin, to figure out, like, okay, at what point do they lean in?
131 00:15:30.410 ⇒ 00:15:31.450 Greg Stoutenburg: If I…
132 00:15:31.450 ⇒ 00:15:34.100 Jasmin Multani: I’m just using my new lens, I’m like, okay.
133 00:15:34.580 ⇒ 00:15:38.400 Jasmin Multani: at what point do I… I think working with sales is pretty straightforward.
134 00:15:38.670 ⇒ 00:15:40.500 Jasmin Multani: But also, we’re gonna have to, like…
135 00:15:40.600 ⇒ 00:15:45.210 Jasmin Multani: I’ll eventually have to understand, like, the sales pricing negotiation and stuff.
136 00:15:46.120 ⇒ 00:15:49.189 Jasmin Multani: In order to get to that, I have to understand what…
137 00:15:49.500 ⇒ 00:15:59.830 Jasmin Multani: gets built, and, like, how we can customize this Omni BI tool, and, work the pricing based off of that customization.
138 00:15:59.830 ⇒ 00:16:02.979 Greg Stoutenburg: Yeah, I can speak to that now, if you’d like to.
139 00:16:02.980 ⇒ 00:16:03.760 Jasmin Multani: Yeah.
140 00:16:03.760 ⇒ 00:16:11.240 Greg Stoutenburg: So, Omnibil’s based on seat count, seat type, And tokens used.
141 00:16:11.560 ⇒ 00:16:14.630 Jasmin Multani: Or a seed count… C…
142 00:16:14.630 ⇒ 00:16:15.180 Greg Stoutenburg: Type.
143 00:16:15.500 ⇒ 00:16:17.279 Greg Stoutenburg: Yep, and tokens used.
144 00:16:17.760 ⇒ 00:16:21.360 Jasmin Multani: Okay, what is seat type? Like, what are the variants?
145 00:16:21.360 ⇒ 00:16:25.050 Greg Stoutenburg: Like, admin versus standard user versus viewer.
146 00:16:25.570 ⇒ 00:16:27.360 Greg Stoutenburg: And I… yeah.
147 00:16:27.570 ⇒ 00:16:33.510 Greg Stoutenburg: An admin is, like, I’m an admin, so for Eden, I’m an admin, and Robert is an admin.
148 00:16:35.100 ⇒ 00:16:42.409 Greg Stoutenburg: we didn’t make anyone at Eden an admin. An admin is the role that allows you to do things like,
149 00:16:43.000 ⇒ 00:16:48.350 Greg Stoutenburg: Invite users, create data models, create topics.
150 00:16:48.710 ⇒ 00:16:56.199 Greg Stoutenburg: connect to data sources, things like that. So, like, really properly administrator-type responsibilities.
151 00:16:56.200 ⇒ 00:16:57.040 Jasmin Multani: Yeah.
152 00:16:57.590 ⇒ 00:17:01.390 Greg Stoutenburg: a standard user can do things like, oh yeah, and an admin can use Blobby.
153 00:17:01.690 ⇒ 00:17:08.490 Greg Stoutenburg: A standard seat allows for the creation and saving and editing of dashboards and using Blobby.
154 00:17:09.319 ⇒ 00:17:14.850 Greg Stoutenburg: So, thinking, like, power user. Like, someone who’s just using Omni, rather than administering Omni.
155 00:17:15.280 ⇒ 00:17:19.060 Jasmin Multani: So they can’t change the tokens, or the topics.
156 00:17:19.569 ⇒ 00:17:21.879 Greg Stoutenburg: Yeah, they can’t go in and edit topics.
157 00:17:22.940 ⇒ 00:17:23.920 Greg Stoutenburg: Thank goodness.
158 00:17:24.170 ⇒ 00:17:24.690 Jasmin Multani: Okay.
159 00:17:24.690 ⇒ 00:17:34.349 Greg Stoutenburg: go and just break everything. Yeah, and then a viewer is someone who doesn’t have access to AI, but they can go in and look at dashboards and charts.
160 00:17:35.290 ⇒ 00:17:35.990 Jasmin Multani: Okay.
161 00:17:37.400 ⇒ 00:17:46.660 Jasmin Multani: Someone at VP level, or team leader level, can be… on the client side, could be… Standard user.
162 00:17:46.830 ⇒ 00:17:47.500 Greg Stoutenburg: Yeah.
163 00:17:47.820 ⇒ 00:17:49.459 Jasmin Multani: We can customize that. Okay.
164 00:17:49.460 ⇒ 00:18:04.609 Greg Stoutenburg: Yeah, and I could see… I could see a client engagement where, like, we were working with engineers at the… on their side who were gonna do some topic building or something like that, and we were gonna, like, oversee the project. I could see that going that way. For, for right now, the projects that we’re on, we don’t have that.
165 00:18:04.810 ⇒ 00:18:09.509 Greg Stoutenburg: I could see it coming, actually, even with Element, because we, you know, I demoed to some engineers last week.
166 00:18:09.700 ⇒ 00:18:10.470 Greg Stoutenburg: So…
167 00:18:10.640 ⇒ 00:18:17.000 Greg Stoutenburg: Anyway, that’s the deal there. So those are the seat types, and then seat count. I think they do, by default.
168 00:18:17.230 ⇒ 00:18:26.539 Greg Stoutenburg: they do, like, 15 users or something like that, and it’s split up a certain way. For Eden, I negotiated and got
169 00:18:26.660 ⇒ 00:18:28.720 Greg Stoutenburg: more standard users.
170 00:18:29.000 ⇒ 00:18:30.610 Greg Stoutenburg: And cut viewers.
171 00:18:31.330 ⇒ 00:18:35.110 Greg Stoutenburg: So, I managed to get, like, 12… something like 12 standard users.
172 00:18:35.500 ⇒ 00:18:38.400 Greg Stoutenburg: at the… You know, instead of, like
173 00:18:38.720 ⇒ 00:18:45.850 Greg Stoutenburg: 5, and then, like, 30 viewers, or something like that. I was like, hey, I’d rather have, you know, trade 3 viewers for one standard.
174 00:18:46.260 ⇒ 00:18:49.249 Greg Stoutenburg: So that’s how they do that. And then it’s 50 million tokens a month.
175 00:18:49.490 ⇒ 00:18:50.840 Greg Stoutenburg: of AI usage.
176 00:18:53.600 ⇒ 00:19:00.739 Jasmin Multani: How are we, like, faring? Like, do you think, you’ve seen, like, a couple clients by now. Do you think…
177 00:19:00.980 ⇒ 00:19:06.630 Jasmin Multani: Clients are using, like, 10% of those 50 million tokens, or, like, how much?
178 00:19:07.480 ⇒ 00:19:29.369 Greg Stoutenburg: One cool thing is that we can track that at any time, because the dashboard that shows usage and questions that users are asking and AI and stuff like that is just one more dashboard inside of Omni, so we can just deliver a dashboard, we can just schedule a delivery for ourselves anytime. Overwhelmingly, what I’m seeing is that the way that our sales rep would put it is, he’s like.
179 00:19:29.370 ⇒ 00:19:37.529 Greg Stoutenburg: You know, 50 million is only another $100. So, like.
180 00:19:37.530 ⇒ 00:19:42.839 Greg Stoutenburg: it’s actually pretty cheap. You can think of it as, like, a $1,200 upgrade to just get 100 million tokens.
181 00:19:42.980 ⇒ 00:19:57.619 Greg Stoutenburg: if you are using Blobby to, like, build dashboards, which you can do, it’s not great at it, but it’s okay, it’ll get you started, you’ll use a lot of tokens. So we used… I mean, we used 50 million in, like, a week.
182 00:19:57.780 ⇒ 00:19:59.869 Greg Stoutenburg: Using Blobby to build stuff.
183 00:20:00.100 ⇒ 00:20:05.510 Greg Stoutenburg: But if we look at our stakeholders and the questions that they’re asking and what that does to Blobby.
184 00:20:05.630 ⇒ 00:20:14.539 Greg Stoutenburg: They’re gonna come in… they’re gonna comfortably come in under $50 million, and that’s with… on their team… that was with a team of, like, 15.
185 00:20:14.990 ⇒ 00:20:21.400 Greg Stoutenburg: That were some, you know, at least occasionally using Blobby. Obviously, some users are, you know, using a lot more than others.
186 00:20:22.360 ⇒ 00:20:23.980 Jasmin Multani: Okay.
187 00:20:25.280 ⇒ 00:20:27.819 Jasmin Multani: Build dashboards. Okay.
188 00:20:28.000 ⇒ 00:20:30.960 Jasmin Multani: That’s really helpful. So, by standard.
189 00:20:31.220 ⇒ 00:20:37.490 Jasmin Multani: What would you… what’s the range of Omni-billing per month that you would pitch to a client?
190 00:20:38.170 ⇒ 00:20:42.710 Greg Stoutenburg: Yeah, so for Eden, they’re at… they got a year at $37,000.
191 00:20:43.640 ⇒ 00:20:44.010 Jasmin Multani: years.
192 00:20:44.650 ⇒ 00:20:45.299 Jasmin Multani: birth 30.
193 00:20:45.300 ⇒ 00:20:48.219 Greg Stoutenburg: One year, yep, $37,000 for the year.
194 00:20:49.950 ⇒ 00:20:52.720 Jasmin Multani: And they are… they have… I feel like they’re…
195 00:20:53.060 ⇒ 00:20:56.690 Jasmin Multani: Data sets are pretty… are more robust than elements.
196 00:20:57.180 ⇒ 00:20:57.529 Jasmin Multani: Should be covered.
197 00:20:57.530 ⇒ 00:20:58.130 Greg Stoutenburg: Yeah.
198 00:20:58.130 ⇒ 00:21:00.689 Jasmin Multani: Like, a multiple-sided marketplace.
199 00:21:00.910 ⇒ 00:21:14.759 Greg Stoutenburg: Yeah, yeah, and also just because, like, as far as that pertains to billing, Omni’s not charging based on anything that resembles throughput, except for AI tokens. So, it doesn’t have to do with the complexity of data sources that are being
200 00:21:14.950 ⇒ 00:21:18.879 Greg Stoutenburg: that, you know, that are piped into Omni. It doesn’t have to do with
201 00:21:19.260 ⇒ 00:21:25.399 Greg Stoutenburg: how, you know, complex a dashboard is, or anything like that. It’s just seats, seat type, tokens.
202 00:21:26.000 ⇒ 00:21:27.960 Jasmin Multani: Okay, okay, that’s nice.
203 00:21:27.960 ⇒ 00:21:29.090 Greg Stoutenburg: Yep, yep.
204 00:21:29.550 ⇒ 00:21:34.819 Greg Stoutenburg: I think all pricing starts at around that 36 or 35 number or so.
205 00:21:35.140 ⇒ 00:21:35.780 Jasmin Multani: Huh.
206 00:21:35.780 ⇒ 00:21:41.039 Greg Stoutenburg: So, Eden Steele was… Pretty standard. Standard to starter level.
207 00:21:42.130 ⇒ 00:21:42.910 Jasmin Multani: Okay.
208 00:21:44.610 ⇒ 00:21:46.820 Jasmin Multani: Alright, and what if,
209 00:21:48.280 ⇒ 00:21:59.439 Jasmin Multani: What if a client is, like, half in, half out? Like, what if they’re like, oh, I only want to do, like, a 3-month pilot, and then… Yeah. Does the sales team offer that option?
210 00:21:59.680 ⇒ 00:22:05.900 Greg Stoutenburg: No, they’ll say, at least the one we’ve been working with will say no. I had a conversation with Robert about this, and
211 00:22:05.900 ⇒ 00:22:21.659 Greg Stoutenburg: And Max, his name’s Max. So, Max is like, what we’ve done already for Eden, and now that we’re doing for Element, he’s like, I don’t want to be… I don’t want pilots to take this long. And Robert’s response to that is, I’ll get a different AE, because, we internally at Brainforge think.
212 00:22:21.660 ⇒ 00:22:35.099 Greg Stoutenburg: a two-week pilot of a BI tool is just not enough time, because we need to, you know, it takes time to model the data, build those topics. You could skip a lot of this stuff and actually do this in, like, a few days, but the results will be trash.
213 00:22:35.100 ⇒ 00:22:51.319 Greg Stoutenburg: And so, we’re like, you know, we’re like, hey, Omni, your company’s reputation and ours depends upon these pilots being effective. And so that’s why we take the time to do all that, you know, pre-work, build the topics, train Blobby, before we turn it over. So…
214 00:22:51.340 ⇒ 00:22:54.779 Greg Stoutenburg: that’s the long answer to the question, right? The… the answer is…
215 00:22:55.360 ⇒ 00:23:12.999 Greg Stoutenburg: For Element, we’re taking about 8 weeks, up to 8 weeks, to do this pilot. The end of this month is what it’s planned for, and only for 2 categories, only for retail and wholesale. If they like it and they sign off on it, we’ll build all this other stuff. We’ll build finance and e-com and all this stuff.
216 00:23:14.530 ⇒ 00:23:15.970 Greg Stoutenburg: Did that answer the question?
217 00:23:16.880 ⇒ 00:23:19.050 Jasmin Multani: Yeah, so it sounds like…
218 00:23:20.480 ⇒ 00:23:30.629 Jasmin Multani: once, there hasn’t been a case where a client will pilot Omni, sign up for it, agree with the billing, and then say no.
219 00:23:31.470 ⇒ 00:23:36.129 Greg Stoutenburg: Eden? Eden got a little testy at the finish line.
220 00:23:36.400 ⇒ 00:23:49.059 Greg Stoutenburg: we got… so that was kind of a weird project in that we migrated from Tableau, and migrate really just means, like, make everything look how it did in Tableau, and add Blobby. So, we got…
221 00:23:49.060 ⇒ 00:23:57.799 Greg Stoutenburg: the… we got to 95% of completion in 2 weeks, which was kind of a mad rush and too fast.
222 00:23:57.930 ⇒ 00:24:13.169 Greg Stoutenburg: Because then it took, like, another, you know, week and a week and a half of identifying things that were suboptimal, wanting to improve them. And at the end of that time, leadership sort of expressed to Robert, like, hey, the reason we haven’t signed yet is because we’re not
223 00:24:13.570 ⇒ 00:24:17.000 Greg Stoutenburg: You know, we’re not real happy with, like, some of the adoption.
224 00:24:17.250 ⇒ 00:24:29.989 Greg Stoutenburg: That we think we’re seeing. Now, a lot of that was, basically, like, customer education. Like, they’d think that they saw a bug or a discrepancy, but really it’s just they don’t understand things like Tableau, updates once a day.
225 00:24:29.990 ⇒ 00:24:44.420 Greg Stoutenburg: Omni updates every few minutes. So, yeah, the reasons the numbers don’t line up today is because, actually, you’re seeing the more accurate data, but, like, it’s, like, pieces like that, that if they undermine confidence, then, you know, someone might get cold feet, so…
226 00:24:44.560 ⇒ 00:24:49.680 Greg Stoutenburg: So there was that, but, like, with some smoothing over and reinforcing the value of Omni, they signed.
227 00:24:52.630 ⇒ 00:24:57.800 Jasmin Multani: I think that’s good. I think I have what I need for now.
228 00:24:58.080 ⇒ 00:25:03.110 Jasmin Multani: And then… I think I just have to dig in deeper with Demi about…
229 00:25:04.350 ⇒ 00:25:08.810 Jasmin Multani: the handoff of, like, how do we prep that data source so that he.
230 00:25:08.810 ⇒ 00:25:09.200 Greg Stoutenburg: Yeah.
231 00:25:09.200 ⇒ 00:25:15.270 Jasmin Multani: building topics out. Also, like, what does topic creation look like? I think I need to get my hands dirty on that.
232 00:25:16.330 ⇒ 00:25:26.540 Greg Stoutenburg: Yeah, Advait has just done a whole bunch of that in the last week and a half, so he could be a good person to talk to as well. Mustafa did nearly all topic creation for Eden.
233 00:25:28.170 ⇒ 00:25:28.900 Jasmin Multani: Okay.
234 00:25:29.710 ⇒ 00:25:31.970 Jasmin Multani: Great, I’ll follow up with them next week.
235 00:25:31.970 ⇒ 00:25:32.830 Greg Stoutenburg: Yep.
236 00:25:33.310 ⇒ 00:25:39.850 Greg Stoutenburg: Amber did some for Element, but she was basically only on for one week, and just handed off to Advait.
237 00:25:40.130 ⇒ 00:25:41.230 Jasmin Multani: Yeah, yeah, yeah, of course.
238 00:25:41.230 ⇒ 00:25:43.649 Greg Stoutenburg: Jeez, we’ve only been doing this for, like, a week and a half, that’s crazy.
239 00:25:43.890 ⇒ 00:25:48.479 Jasmin Multani: I know, and it still feels like… why aren’t we doing this? It’s weird.
240 00:25:49.040 ⇒ 00:25:49.810 Greg Stoutenburg: Hang on.
241 00:25:50.310 ⇒ 00:25:52.880 Greg Stoutenburg: Yeah. Yep.
242 00:25:53.320 ⇒ 00:26:01.110 Jasmin Multani: Okay, I think I have what I need for now. I’ll probably touch base with you again next week to be like, hey, this is what’s out, what are some other holes?
243 00:26:02.290 ⇒ 00:26:06.380 Jasmin Multani: But for now, I think this is a good… Starting point for me.
244 00:26:06.380 ⇒ 00:26:15.949 Greg Stoutenburg: Yeah, cool. Cool. I think a… an awesome future state, like, I wouldn’t even… not even to be aimed at as V1 of a playbook, but, like.
245 00:26:16.100 ⇒ 00:26:27.770 Greg Stoutenburg: something to get to, it’d be awesome to use, like, a linear template, where it’s like, alright, run the template for Standing Up Omni, and just, like, milestone, ticket.
246 00:26:27.980 ⇒ 00:26:35.540 Greg Stoutenburg: dump, you know? Here’s this thing lined up over the course of… 8 weeks, or whatever,
247 00:26:36.310 ⇒ 00:26:51.940 Greg Stoutenburg: and would follow the structure that we’ve followed here. I guess one thing, last thing I should say for the pilot is, the goal of a pilot is just to take some small amount of the client’s data and get it in good shape, build topics for that, get their sign-off.
248 00:26:53.050 ⇒ 00:26:57.589 Greg Stoutenburg: And then go on to do the rest. So, it’s a sort of, you know, land and expand kind of thing.
249 00:26:57.920 ⇒ 00:26:58.550 Jasmin Multani: Okay.
250 00:26:58.970 ⇒ 00:27:01.090 Jasmin Multani: Yeah. Cool. That’s good.
251 00:27:01.090 ⇒ 00:27:02.190 Greg Stoutenburg: Okay. Thank you.
252 00:27:02.190 ⇒ 00:27:03.790 Jasmin Multani: Alright. Guys on.
253 00:27:03.790 ⇒ 00:27:04.230 Greg Stoutenburg: See ya.
254 00:27:04.230 ⇒ 00:27:05.250 Jasmin Multani: really popular.
255 00:27:05.250 ⇒ 00:27:06.430 Greg Stoutenburg: Alright, have a good weekend, bye.