Meeting Title: Brainforge x San Antonio Triage Sync Date: 2026-04-10 Meeting participants: Pranav, read.ai meeting notes, Uttam Kumaran, JanieceGarcia, Steven
WEBVTT
1 00:00:37.680 ⇒ 00:00:38.760 Uttam Kumaran: Ayy.
2 00:00:39.480 ⇒ 00:00:40.380 Pranav: How’s it going?
3 00:00:40.950 ⇒ 00:00:42.000 Uttam Kumaran: Good.
4 00:00:42.510 ⇒ 00:00:43.170 Pranav: Oh, cool.
5 00:00:43.740 ⇒ 00:00:48.870 Pranav: I think it’s gonna be a pretty small meeting today. Just, just Janiece, I think, will be joining.
6 00:00:49.210 ⇒ 00:00:49.800 Uttam Kumaran: Okay.
7 00:00:50.050 ⇒ 00:00:50.640 Pranav: Yeah.
8 00:01:15.510 ⇒ 00:01:18.310 Pranav: Yeah, Yvette’s actually getting married today.
9 00:01:19.080 ⇒ 00:01:21.319 Uttam Kumaran: No way! Oh my god!
10 00:01:21.320 ⇒ 00:01:22.230 Pranav: That’s all she’s gonna be doing.
11 00:01:22.230 ⇒ 00:01:23.320 Uttam Kumaran: said something.
12 00:01:23.520 ⇒ 00:01:24.190 Pranav: Yeah.
13 00:01:25.910 ⇒ 00:01:32.220 Uttam Kumaran: Oh, we should, let’s remind me, let’s get… let’s ask Janice for her address, also, we’ll send some flowers.
14 00:01:32.490 ⇒ 00:01:34.350 Pranav: Okay, that’d be awesome.
15 00:01:34.700 ⇒ 00:01:37.369 Uttam Kumaran: Yeah, I’ll ask, I’ll ask Kayla to help me.
16 00:01:38.040 ⇒ 00:01:43.999 Pranav: Yeah, yeah, I was gonna talk to her a little bit about it yesterday, but I think she just had… she just crammed, basically, the entire day.
17 00:01:44.120 ⇒ 00:01:45.829 Uttam Kumaran: Oh, nice, okay, great.
18 00:02:33.860 ⇒ 00:02:35.039 Pranav: How’s your day been so far?
19 00:02:37.310 ⇒ 00:02:39.070 Uttam Kumaran: It’s good, dude, I haven’t…
20 00:02:39.200 ⇒ 00:02:47.969 Uttam Kumaran: been sleeping for, like, a few days, so I’m just, like, waiting for the day to end so I can get some sleep, but I’ve just been trying to push a bunch of stuff out.
21 00:02:48.350 ⇒ 00:02:50.949 Pranav: What does that mean, not sleeping? Does that mean, literally.
22 00:02:50.950 ⇒ 00:02:54.910 Uttam Kumaran: I’ve gotten, like, 4 or 5 hours of sleep, but I’ve just been working late.
23 00:02:54.910 ⇒ 00:02:55.500 Pranav: Yo.
24 00:02:55.700 ⇒ 00:02:56.520 Pranav: Yeah.
25 00:02:57.050 ⇒ 00:02:58.720 Pranav: On the, like, open work stuff?
26 00:02:59.720 ⇒ 00:03:03.500 Uttam Kumaran: Yeah. Oh, I didn’t even show you, dude, it’s like.
27 00:03:03.500 ⇒ 00:03:08.640 Pranav: Yeah, I need to get, like, maybe this weekend or something, like, you can tell me more about it.
28 00:03:09.550 ⇒ 00:03:15.410 Uttam Kumaran: Yeah, I’ll send you some stuff, but it’s… it’s almost… it’s basically there, all the new features, so… Hey, Janice.
29 00:03:16.090 ⇒ 00:03:17.380 Pranav: Hey, Janiece, how’s it going?
30 00:03:17.910 ⇒ 00:03:19.650 JanieceGarcia: I got both y’all today?
31 00:03:21.120 ⇒ 00:03:22.509 Pranav: We have a substitute for dinner.
32 00:03:22.510 ⇒ 00:03:32.460 Uttam Kumaran: I, I didn’t know Yvette’s getting married. I told Pranav we’re gonna send some flowers. I don’t… I was gonna ask you if we can get Janiece’s address, because I’d love to send some flowers, or…
33 00:03:32.630 ⇒ 00:03:33.720 Uttam Kumaran: Yeah?
34 00:03:33.720 ⇒ 00:03:34.660 JanieceGarcia: Yvette’s up!
35 00:03:34.660 ⇒ 00:03:35.440 Uttam Kumaran: Oh, yeah.
36 00:03:36.680 ⇒ 00:03:43.750 JanieceGarcia: I do not know… I don’t know how fast you can get them here. I have the church that it’s gonna be at, but I don’t.
37 00:03:43.750 ⇒ 00:03:46.990 Uttam Kumaran: No, no, no, just in general, not, like, just in general, like…
38 00:03:46.990 ⇒ 00:03:50.320 JanieceGarcia: Just send them to the office, because I couldn’t tell ya.
39 00:03:50.940 ⇒ 00:03:54.990 Uttam Kumaran: Okay, okay, alright, we’ll send it, we’ll send it to the San Antonio office, then. That works.
40 00:03:54.990 ⇒ 00:03:56.989 Pranav: She should be back on Monday, right?
41 00:03:57.390 ⇒ 00:04:03.080 JanieceGarcia: She will be back on Monday, don’t hate me, Pranav, but I will not be in on Monday or Tuesday.
42 00:04:03.080 ⇒ 00:04:03.660 Pranav: Okay.
43 00:04:03.940 ⇒ 00:04:05.709 Pranav: That’s okay, that’s okay.
44 00:04:05.870 ⇒ 00:04:10.849 Pranav: That’s okay, that’s totally fine. I think, Monday I’ll sync up with Yvette.
45 00:04:10.960 ⇒ 00:04:24.709 Pranav: Okay, I want to get a time with both of y’all, so we can kind of go over the new triage system, but I’ll schedule that for Wednesday, then. But I have, like, a couple demos today to kind of go over some of that stuff.
46 00:04:25.460 ⇒ 00:04:26.560 JanieceGarcia: Please, okay.
47 00:04:26.970 ⇒ 00:04:28.600 Pranav: Yeah, let’s just hop…
48 00:04:28.600 ⇒ 00:04:31.150 JanieceGarcia: The Lanier… the Lanier stuff?
49 00:04:31.410 ⇒ 00:04:36.179 Pranav: Exactly. Yeah, I don’t know if you’ve already seen some of this stuff happen, like, Casey’s been in there.
50 00:04:36.350 ⇒ 00:04:39.819 Pranav: Like, I have. Just, like, jumping around, okay.
51 00:04:40.090 ⇒ 00:04:40.640 JanieceGarcia: Yeah.
52 00:04:40.800 ⇒ 00:04:42.710 Pranav: How’s that, system looked?
53 00:04:43.300 ⇒ 00:04:44.730 JanieceGarcia: It’s… I mean…
54 00:04:45.610 ⇒ 00:04:53.330 JanieceGarcia: I’m gonna be honest here, I don’t see any difference, it’s just nice that I’ll go in, I’m like, it’s already assigned. Oh, this one’s already assigned.
55 00:04:53.590 ⇒ 00:04:55.229 Pranav: That’s the goal. That’s the goal.
56 00:04:55.230 ⇒ 00:04:55.580 JanieceGarcia: That…
57 00:04:55.580 ⇒ 00:05:11.970 Pranav: It shouldn’t… it shouldn’t look totally different. But those small things of, like, hey, this is already here, like, the automation is basically running. Okay, that’s… that’s actually the perfect feedback. You were like, oh, it looks totally different, like, we don’t recognize it anymore. That would be a problem.
58 00:05:12.170 ⇒ 00:05:12.790 Pranav: Yeah.
59 00:05:12.790 ⇒ 00:05:22.629 JanieceGarcia: No, I mean, I’ve… it’s just nice to go in, and I’m like, heck yes, I don’t have 32 assigned somewhere. It’s already done it for me, so we’re good.
60 00:05:22.630 ⇒ 00:05:28.149 Pranav: Awesome. Have you seen a little bit of, like, what’s happening in the linear comments, or have you not noticed that?
61 00:05:28.850 ⇒ 00:05:36.440 JanieceGarcia: I haven’t looked at mine, so I need to go in and look at mine, because I know that Casey has added stuff for me.
62 00:05:37.280 ⇒ 00:05:46.680 JanieceGarcia: To go through and check. What do you mean in the comments? Are you talking about, like, whenever it is assigned, like, the new trace ID, the…
63 00:05:47.640 ⇒ 00:05:50.350 JanieceGarcia: Those things, or is it something different?
64 00:05:50.500 ⇒ 00:05:53.289 Pranav: Let me just show you, I’ll share my screen real quick.
65 00:05:54.520 ⇒ 00:05:58.990 JanieceGarcia: I don’t know, y’all knew I am not all about this AI stuff, I don’t know how to work it.
66 00:05:58.990 ⇒ 00:06:00.549 Pranav: You’re using.
67 00:06:00.550 ⇒ 00:06:06.829 Uttam Kumaran: You know, every day, you’re using Andy, you’ve been… you guys have been using Andy for two years, like, or whatever.
68 00:06:06.830 ⇒ 00:06:08.150 JanieceGarcia: long, hasn’t it?
69 00:06:08.150 ⇒ 00:06:09.480 Uttam Kumaran: You’re OG.
70 00:06:11.250 ⇒ 00:06:14.579 Pranav: Yeah, if you’re starting to use AI two years ago, that does make you an OG.
71 00:06:17.790 ⇒ 00:06:22.260 Pranav: Okay, let me pull… Let me pull a couple of these triage tickets up.
72 00:06:39.290 ⇒ 00:06:41.760 Pranav: Yeah, I’m not used to seeing, like, not, like.
73 00:06:41.950 ⇒ 00:06:47.840 Pranav: 50 or, like, 75 different triage tickets in linear. This is… it’s nice to see it all cleaned up.
74 00:06:48.010 ⇒ 00:06:48.720 Pranav: It’s…
75 00:06:48.720 ⇒ 00:06:55.580 JanieceGarcia: That’s so awesome. Well, not even just that, but the amount that we’re getting is so much less than what…
76 00:06:55.710 ⇒ 00:06:57.020 JanieceGarcia: It has been.
77 00:06:57.280 ⇒ 00:07:00.510 JanieceGarcia: Before, and that’s what’s really nice.
78 00:07:01.350 ⇒ 00:07:06.420 JanieceGarcia: I love it. Like, that right there tells me, like, the feedback that they’re giving.
79 00:07:06.760 ⇒ 00:07:10.510 JanieceGarcia: is true. I’m still kind of on the fence with…
80 00:07:11.010 ⇒ 00:07:14.850 JanieceGarcia: my lawn feedback, because I kind of feel like…
81 00:07:15.450 ⇒ 00:07:19.420 JanieceGarcia: The trainer and the manager is not on the same level.
82 00:07:20.730 ⇒ 00:07:31.410 JanieceGarcia: And so I’m… I’m not 100% on that one, but everybody else is pretty much the same feedback in regards to, it seems like it’s faster.
83 00:07:31.410 ⇒ 00:07:43.760 JanieceGarcia: Andy’s responses are more accurate, and that’s what we want to see, right? We want to know, okay, that it’s getting better, that we’re actually working, and everything that you guys are doing, we’re doing.
84 00:07:44.280 ⇒ 00:07:47.200 JanieceGarcia: It’s… It’s the way it’s supposed to be.
85 00:07:47.500 ⇒ 00:07:52.349 JanieceGarcia: Yeah. But on the lawn side, whenever I have those one-on-ones.
86 00:07:52.990 ⇒ 00:08:03.389 JanieceGarcia: the manager and I will talk, and the manager is saying everything else that everybody else is, that she’s seeing better, accurate responses, she’s seeing the faster responses.
87 00:08:03.490 ⇒ 00:08:11.940 JanieceGarcia: But then you get with her trainer, who’s working with this, and she’s like, well, I just don’t know. I mean, I can see that it’s getting better, but…
88 00:08:12.090 ⇒ 00:08:13.890 JanieceGarcia: And, but she can’t give me anything.
89 00:08:14.560 ⇒ 00:08:16.420 Pranav: Yeah, so there’s no, like…
90 00:08:17.020 ⇒ 00:08:24.470 Pranav: specific feedback. It’s just, like, kind of directionally better, directionally, like, hey, faster. Yeah, so…
91 00:08:24.540 ⇒ 00:08:39.570 Pranav: I think we’re working on the right things at the right time, because it’s like, with this… the co-pilot is gonna show that, okay, the process of just getting the information in the central dock is gonna be smoother. I think you’re already noticing that with, like, the auto-labeling for certain things. Yes.
92 00:08:39.669 ⇒ 00:08:57.890 Pranav: And then for transcripts, which we’ll get started on, which we’ve already got started on in terms of just, like, building the backend stuff, but then in terms of the insights, that’s where you’re gonna get, like, the actionable, like, hey, these are the recommendations for each of the specific trainers per department. So…
93 00:08:57.890 ⇒ 00:08:58.540 JanieceGarcia: Right.
94 00:08:58.540 ⇒ 00:09:02.090 Pranav: Yeah, I think those are coming very soon, so… yeah.
95 00:09:02.090 ⇒ 00:09:02.660 JanieceGarcia: Yeah.
96 00:09:03.200 ⇒ 00:09:03.890 Pranav: David?
97 00:09:04.340 ⇒ 00:09:05.400 Steven: Hey, how’s it going.
98 00:09:06.080 ⇒ 00:09:07.270 Pranav: Pretty good, pretty good.
99 00:09:07.270 ⇒ 00:09:07.670 Steven: I hate it.
100 00:09:07.670 ⇒ 00:09:11.149 Pranav: I don’t think we got to formally meet. Nice to meet you.
101 00:09:11.150 ⇒ 00:09:17.140 Steven: I think maybe it might have been on the meeting the first time when they are doing the trade-off, but I’ve missed the last few, so…
102 00:09:17.340 ⇒ 00:09:24.779 Pranav: Right, yeah, maybe in that very first time, back in, like, maybe it’s February? It’s been a… I don’t know, have I been on these meetings since February? Yeah.
103 00:09:24.780 ⇒ 00:09:25.710 Uttam Kumaran: Yeah, I think so.
104 00:09:26.290 ⇒ 00:09:26.850 Pranav: Yeah.
105 00:09:26.850 ⇒ 00:09:30.320 Steven: I’ve heard good things, though. Janiece has been keeping me up to date. She said you’re all…
106 00:09:30.320 ⇒ 00:09:32.100 Uttam Kumaran: You just missed the Good Things segment.
107 00:09:32.100 ⇒ 00:09:32.640 Steven: Oh, okay.
108 00:09:32.890 ⇒ 00:09:34.940 Uttam Kumaran: Stuff is going, and…
109 00:09:34.940 ⇒ 00:09:35.560 Steven: Oh, yeah.
110 00:09:35.560 ⇒ 00:09:38.229 Uttam Kumaran: Janice could just run it back one more time.
111 00:09:40.580 ⇒ 00:09:42.260 JanieceGarcia: I’ve already told Steven, Steven.
112 00:09:42.260 ⇒ 00:09:46.809 Uttam Kumaran: No, that’s really great to hear. I want to measure those things, Denise, so it’s kind of like…
113 00:09:46.850 ⇒ 00:09:49.969 Uttam Kumaran: It’s not just, like, anecdotal, but we are seeing in the data
114 00:09:49.980 ⇒ 00:10:09.770 Uttam Kumaran: that, it’s actually a lot faster. We are measuring our bugs, and things are, like, it’s no longer nearly as much as it was. Yeah. And I, you know, I’ve been, you know, putting pressure on Pranav to get to the transcript side of things in terms of, starting to build insights
115 00:10:09.830 ⇒ 00:10:11.130 Uttam Kumaran: Right?
116 00:10:11.240 ⇒ 00:10:21.680 Uttam Kumaran: on who’s not using it, who could use it differently, how could we structure the central doc based on the actual transcripts that are coming back. Right. That sort of, like, closes the whole loop, you know?
117 00:10:24.080 ⇒ 00:10:33.609 Pranav: Yeah. Steven, is there any, like, specific, you know, questions you have about, like, the current workflow right now? Because I know you probably are getting a lot of updates from, like, Yvette and Janice.
118 00:10:33.610 ⇒ 00:10:44.339 Steven: Yeah, no, I mean, obviously the transcripts are kind of the big, the big thing I think we’ve been talking about now. Sounds like, from what I’ve heard, the speed is better. You’ve been kind of jumping on a few things here and there, so…
119 00:10:44.720 ⇒ 00:10:50.839 Steven: No, how is the usage? I haven’t kind of seen an update on the usage. What are our metrics there looking like?
120 00:10:51.170 ⇒ 00:10:53.479 Pranav: Let me… let me pull up that dashboard real quick.
121 00:10:53.750 ⇒ 00:11:01.290 JanieceGarcia: I have it up, but it’s not fair to compare it to our testing week. I will say that. It is definitely not fair to compare it to that week.
122 00:11:02.720 ⇒ 00:11:06.870 Pranav: But we are seeing a big uptick in just the average.
123 00:11:07.100 ⇒ 00:11:07.730 Pranav: Yep.
124 00:11:07.730 ⇒ 00:11:08.330 Steven: Okay.
125 00:11:09.760 ⇒ 00:11:18.320 Pranav: So… yeah, this is basically… we have it, split up by department here, and we can even go to the individual, like, CSRs.
126 00:11:18.480 ⇒ 00:11:22.060 Pranav: As well. But, on average.
127 00:11:22.270 ⇒ 00:11:29.660 Pranav: I think when I first joined, we were seeing, like, around 550, and so already in the past, like, month, we’re seeing…
128 00:11:30.170 ⇒ 00:11:49.219 Pranav: on a week-to-week basis, an extra 150 is what I’m noticing. Yeah, Janice, like, that one week, we had, like, 1,300, and that was a combination of just… I think you were letting some of the trainers know, like, the zip codes are live, like, you guys can use it for zip codes, and it’s 100% accurate, basically, here.
129 00:11:49.260 ⇒ 00:12:00.079 Pranav: And I think people really caught on to that, and we’re seeing just, hey, this is so much easier. And then you guys did a ton of testing, which improved the accuracy a ton. So…
130 00:12:00.290 ⇒ 00:12:04.519 Pranav: I think the combination of both those things, like, they’re really just, like.
131 00:12:04.670 ⇒ 00:12:21.900 Pranav: they’re kind of laying the foundation. I know, like, when Utam joined last time, we were talking about, hey, there’s so many different applications for Andy, but the main thing that we need to figure out right now is how do we make this 100% accurate, and how do we make the execution time, like, you know, 4 to 5 seconds or less?
132 00:12:22.560 ⇒ 00:12:22.880 JanieceGarcia: Yep.
133 00:12:22.880 ⇒ 00:12:25.729 Pranav: So, I think we’re well on our way there.
134 00:12:26.550 ⇒ 00:12:41.740 Pranav: Is anything, like, Steven here, like, striking to you? I think what we’ve noticed is, like, for, you know, departments, we see, you know, pretty consistent themes, and, like, the… like, which department’s using it more, which is using it less. Yeah.
135 00:12:42.170 ⇒ 00:12:43.030 Pranav: Yeah.
136 00:12:44.190 ⇒ 00:12:45.130 Pranav: And so…
137 00:12:45.130 ⇒ 00:12:50.949 Steven: I mean, I was gonna say why home improvement is so… obviously, they have the least amount of CSR, so that kind of… kinda makes sense.
138 00:12:51.600 ⇒ 00:12:52.850 Steven: Well, they’re the lowest.
139 00:12:53.440 ⇒ 00:12:54.100 Pranav: Yep.
140 00:12:54.100 ⇒ 00:12:57.990 JanieceGarcia: Yes and no, Steven, because I would argue that with the overflow stuff.
141 00:12:59.600 ⇒ 00:13:02.089 JanieceGarcia: Because every single one of them is overflow.
142 00:13:02.830 ⇒ 00:13:03.540 Steven: No.
143 00:13:05.780 ⇒ 00:13:13.070 Steven: So do you have any insight there, Janiece? Are they just not… is Brenda not on it? Is she not pushing it, or…
144 00:13:13.310 ⇒ 00:13:28.119 JanieceGarcia: No, so they are pushing it, and we have actually seen an increase, and when I look at… when I look at their usage when I’m doing a 101, which Pranav is gonna start being in a couple of the 101s, especially the ones that I’m struggling with.
145 00:13:28.310 ⇒ 00:13:34.769 JanieceGarcia: But when it comes to those, I have seen an increase for the most part.
146 00:13:34.890 ⇒ 00:13:50.619 JanieceGarcia: all the way… all across the board. For this week, and I look from the Monday through Saturday, comparing it to the previous Monday through Saturday, so my usage that I’m looking at right now, for this week, we’ve actually increased about 23%. We’re…
147 00:13:50.620 ⇒ 00:13:55.679 JanieceGarcia: We have 868 interactions. That’s from the 6th through today.
148 00:13:56.120 ⇒ 00:14:00.069 JanieceGarcia: Comparing it to the 30th through…
149 00:14:00.190 ⇒ 00:14:04.009 JanieceGarcia: the 4th of last week, because nobody’s in on Sundays.
150 00:14:04.560 ⇒ 00:14:13.170 JanieceGarcia: But… With that, pest is actually one of our lowest, and home improvement is rising.
151 00:14:13.270 ⇒ 00:14:21.179 JanieceGarcia: And home improvement did take some time, but they do have CSRs, a couple CSRs that are very…
152 00:14:21.770 ⇒ 00:14:22.720 JanieceGarcia: literal.
153 00:14:23.630 ⇒ 00:14:39.179 JanieceGarcia: And there is, and I can use this one as an example, If I still have it, I may not anymore. But, one of the issues that we had sent to us today was by…
154 00:14:39.450 ⇒ 00:14:46.939 JanieceGarcia: a CSR who asked, okay, what is the X line… ex-lead line sales queue?
155 00:14:47.770 ⇒ 00:14:52.759 JanieceGarcia: Okay, well, that information actually is in there, because I do have it on our Universal stuff.
156 00:14:52.890 ⇒ 00:15:01.910 JanieceGarcia: And then he went in and said, well, how do you schedule an estimate if a customer doesn’t want to wait for a field inspector?
157 00:15:02.120 ⇒ 00:15:04.749 JanieceGarcia: And it gave the entire breakdown.
158 00:15:05.390 ⇒ 00:15:12.170 JanieceGarcia: But one, he didn’t ask until they had their huddles, and two, the feedback he gave was, well.
159 00:15:12.460 ⇒ 00:15:20.590 JanieceGarcia: This is not exactly how it states. It shows this, and it should be this way. It’s like, but we’re giving a…
160 00:15:20.790 ⇒ 00:15:24.250 JanieceGarcia: you know, we’re actually giving a step-by-step. So that’s more of…
161 00:15:24.870 ⇒ 00:15:32.260 JanieceGarcia: certain CSRs that we’re working with, and I would say there’s about one in every single department that’s like that.
162 00:15:32.360 ⇒ 00:15:39.520 JanieceGarcia: To where we’re pushing for their usage, and then when it comes to a question, they’re not even asking something that really
163 00:15:39.670 ⇒ 00:15:41.339 JanieceGarcia: One would either be in there.
164 00:15:42.000 ⇒ 00:15:47.090 JanieceGarcia: Or, two, it’s not exactly the way that they want it to be.
165 00:15:47.680 ⇒ 00:15:50.630 JanieceGarcia: So they’re pushing back on… Andy.
166 00:15:50.860 ⇒ 00:15:51.830 JanieceGarcia: As a whole.
167 00:15:51.830 ⇒ 00:15:55.900 Uttam Kumaran: So do you think it’s a… do you think it’s a training thing, Janiece? Like…
168 00:15:55.900 ⇒ 00:15:56.670 JanieceGarcia: I do.
169 00:15:56.670 ⇒ 00:16:06.669 Uttam Kumaran: Okay, because this is new, this is new technology, and ultimately, I think we’re all learning that you basically kind of just have to, like, say exactly what the thing is that you want.
170 00:16:06.790 ⇒ 00:16:11.250 Uttam Kumaran: Versus, like, ask for a specific thing. Maybe it is…
171 00:16:11.380 ⇒ 00:16:15.550 Uttam Kumaran: Doing a couple of training sessions,
172 00:16:16.670 ⇒ 00:16:25.230 Uttam Kumaran: You know, but I feel like we’ve sort of took an axe to all of the small issues, you know, so I feel like we’re in a lot better place.
173 00:16:25.620 ⇒ 00:16:38.100 JanieceGarcia: We are. I mean, and to know that the trainers, for the most part, like I was telling them too, Steven, I have one trainer that I’m just kind of not 100% that she’s bought in.
174 00:16:38.660 ⇒ 00:16:39.940 JanieceGarcia: And so…
175 00:16:40.210 ⇒ 00:16:54.850 JanieceGarcia: myself, her manager, and I on… during our one-on-ones, that’s all we’re working on, is trying to pull out what is it exactly, and she can’t really give specific, it’s just…
176 00:16:55.290 ⇒ 00:17:07.809 JanieceGarcia: well, I don’t know, I can kind of see that it’s doing this, but, you know, and there’s no actual specific answers or feedback that’s coming through. So, her manager and I are working on that,
177 00:17:08.930 ⇒ 00:17:11.309 JanieceGarcia: But, other than that, I mean, there’s…
178 00:17:11.579 ⇒ 00:17:15.040 JanieceGarcia: Been a lot of positivity that comes out of this, big time.
179 00:17:15.640 ⇒ 00:17:21.200 JanieceGarcia: So… but I do think it’s training, and it’s the way that they’re asking, or what they’re wanting to ask.
180 00:17:21.690 ⇒ 00:17:34.930 Pranav: Yeah, and I think with the transcript insights that we’re gonna bring, which is basically, these top 10 categories, we feel so confident of they’re gonna give you the right answer, you know? Yeah.
181 00:17:34.930 ⇒ 00:17:49.100 Pranav: And so, I think for, you know, the trainers that are the most skeptical because of previous usage, potentially, we’re going to give you the exact topics that you can ask Andy, and then feel super confident in getting the right answer.
182 00:17:49.100 ⇒ 00:17:55.110 Pranav: So it’s not just like, hey, for anything you’re department-related, ask Andy this. Now we’re giving at least
183 00:17:55.110 ⇒ 00:17:59.870 Pranav: kind of, like, the small, like, stepping stones of, like, getting onto Andy and seeing the value up front.
184 00:17:59.880 ⇒ 00:18:09.250 Pranav: Because we are in a process of, like, you know, that’s the whole point of this triage system of, you know, finding gaps in the central docs and then updating the central docs.
185 00:18:09.840 ⇒ 00:18:23.319 Pranav: But maybe for certain trainers, if they’re just always finding gaps, they’re gonna lose interest. And so, having those easy wins and knowing, hey, the central docs are 100% going to be covering these topics, I think that’s gonna be huge for just…
186 00:18:23.320 ⇒ 00:18:30.869 Pranav: getting people more, you know, like, like Uten was saying, just, like, kind of the training will be there, and it’s not gonna be…
187 00:18:31.070 ⇒ 00:18:35.450 Pranav: It’s not any difference in the system, it’s just that, hey, now you know how to use the system.
188 00:18:35.450 ⇒ 00:18:37.289 JanieceGarcia: Right, right, yep.
189 00:18:37.600 ⇒ 00:18:44.579 JanieceGarcia: And that… and I did find the Lanier ticket, but it is, like, he asked, what is the lead line internal queue?
190 00:18:44.920 ⇒ 00:18:51.279 JanieceGarcia: And it tells you the internal queue for lead line cells is X lead line cells Q, specifically.
191 00:18:51.670 ⇒ 00:19:10.339 JanieceGarcia: known as the ex-in-house… in-house pest queue for pest-related inquiries. And then he went in, what’s the procedure for estimate for lead line sales queue, which it broke it down step-by-step, which, Utam, you know we worked hard on trying to figure out, okay, what’s the step-by-step on everything for the.
192 00:19:10.340 ⇒ 00:19:10.940 Uttam Kumaran: Yes.
193 00:19:11.900 ⇒ 00:19:31.599 JanieceGarcia: And so it lists everything, and his feedback was, agents must create a ticket for the needed estimate, specifically place it on the lead line sales professional queue, being careful not to use just the generic lead line queue, and it’s like, this information that he put in as feedback, it’s in the process.
194 00:19:34.120 ⇒ 00:19:38.670 JanieceGarcia: I don’t… I don’t know. That’s where I’m struggling on…
195 00:19:38.670 ⇒ 00:19:47.899 Pranav: I think how we can help you there is, this all goes through the triage system. We basically just have another state of, hey, this information isn’t…
196 00:19:48.170 ⇒ 00:19:57.840 Pranav: you know, isn’t feedback that actually is going to… that we need to update a central doc with. This sounds more like information for you, Janiece, to, like, help the trainers with. Yeah, yeah.
197 00:19:57.840 ⇒ 00:19:58.390 JanieceGarcia: gap.
198 00:19:58.430 ⇒ 00:20:15.729 Pranav: basically, we just had this as, like, a… this whole triage system that we’re building is getting a lot more organized, as you’ve already seen, and with that organization, we can have a lot more of these different paths, where maybe it’s not just for central dock updates, maybe it’s not just for, you know, our team internally to update Andy, it’s even for you to, like.
199 00:20:15.730 ⇒ 00:20:22.370 Pranav: update the trainers for certain things that you’re seeing go through the triage system. So… Yeah.
200 00:20:22.860 ⇒ 00:20:41.019 JanieceGarcia: I actually agree with that, because what I did with this one is I’m assigning it to whoever the trainer is, and then I’m chatting them on the side, hey, I sent this to you, or you can see in my comments in here, Tiffany, this is one you really need to go over with oh-so, you know, blah blah blah, in regards to what he was asking.
201 00:20:41.020 ⇒ 00:20:47.630 JanieceGarcia: So I am doing that already, but if you can point it out to me and add that, I mean, heck yeah, that’s…
202 00:20:47.630 ⇒ 00:21:03.770 Pranav: Yeah, just like a report basically saying, hey, this is what the feedback was, you’re gonna be in the loop of saying, hey, this wasn’t accurate feedback, and then when you say that, a report’s already generated for you. I think that would be huge, right? Because the idea here is, like, as we get more usage.
203 00:21:03.770 ⇒ 00:21:09.400 Pranav: There will be a certain uptick in terms of feedback, and then we want to be able to
204 00:21:09.730 ⇒ 00:21:12.380 Pranav: work off of that feedback as soon as possible, so… Right.
205 00:21:12.600 ⇒ 00:21:13.490 Pranav: Yep. Yeah.
206 00:21:13.850 ⇒ 00:21:15.560 Pranav: Cool.
207 00:21:16.040 ⇒ 00:21:25.049 Pranav: let’s see what… I, I also wanted to just kind of, you know, weekly we’ve been going over just, the weekly categorization of just the usage,
208 00:21:25.420 ⇒ 00:21:26.689 Pranav: Should we hop into that?
209 00:21:28.150 ⇒ 00:21:28.880 Pranav: Cool.
210 00:21:30.860 ⇒ 00:21:33.169 Pranav: Yeah, Steven, I don’t know if you’ve seen this before.
211 00:21:34.380 ⇒ 00:21:46.369 Pranav: But basically, on all of the inputs, we are assessing what is the category that all the CSRs are, asking certain questions.
212 00:21:46.370 ⇒ 00:21:47.989 Steven: Yeah, that’s cool.
213 00:21:48.580 ⇒ 00:21:59.900 Pranav: And so I think this is, like, one step forward in terms of giving, like, that tailored feedback. And it’s also, I think Yvette and Janice, I think, really enjoy seeing this, too, because it gives a little bit more structure to, like.
214 00:22:00.030 ⇒ 00:22:07.059 Pranav: what is being… what’s going through Andy, and then just getting more feedback on, hey, what is not going well?
215 00:22:08.240 ⇒ 00:22:11.500 Pranav: So yeah, we just look at this, like, once a week.
216 00:22:13.090 ⇒ 00:22:25.449 Pranav: It looks pretty similar, Janiece, to last week. I think what we saw last week, too, was, yeah, the staff lookup and assignment was number one, and then also just, like, the general ops questions.
217 00:22:26.730 ⇒ 00:22:30.020 Pranav: What I did notice, though, was,
218 00:22:30.180 ⇒ 00:22:38.279 Pranav: the thumbs-down count. And so, it makes sense for higher usage, there’s gonna be more specific… there’s gonna be…
219 00:22:38.580 ⇒ 00:22:42.750 Pranav: more number of, like, thumbs… thumbs downs.
220 00:22:43.000 ⇒ 00:22:50.380 Pranav: But this thumbs-down rate is what’s really interesting. So… This contact and escalation routing?
221 00:22:50.610 ⇒ 00:22:55.330 Pranav: Not a ton of exchanges here, like, less than 20, but…
222 00:22:55.580 ⇒ 00:23:06.170 Pranav: what’s it saying? It’s saying 100% thumbs down. So this is clearly, like, a gap, right? For 17 questions being asked, we’re not getting…
223 00:23:06.320 ⇒ 00:23:08.560 Pranav: we’re not getting it right.
224 00:23:08.960 ⇒ 00:23:15.029 Pranav: So, yeah, I already brought this up with Casey, we’re looking into what are these exact questions, and…
225 00:23:15.030 ⇒ 00:23:15.650 JanieceGarcia: Okay.
226 00:23:15.650 ⇒ 00:23:29.110 Pranav: I kind of mentioned, like, on our call with Ashley earlier this week, which is, what information is Andy retrieving? We have all of that logged and stored on our end, and so it makes us… makes it really easy for us to diagnose what the issue is, so…
227 00:23:29.230 ⇒ 00:23:32.409 Pranav: On a weekly basis, we’re gonna just be doing this,
228 00:23:32.970 ⇒ 00:23:36.870 Pranav: So, yeah, just wanted to call that out in case you didn’t already see that.
229 00:23:37.620 ⇒ 00:23:38.230 JanieceGarcia: Okay.
230 00:23:38.340 ⇒ 00:23:41.130 JanieceGarcia: Nice. I didn’t even pay attention to that.
231 00:23:41.720 ⇒ 00:23:42.480 JanieceGarcia: Yeah, but…
232 00:23:42.480 ⇒ 00:23:43.010 Pranav: Whoa.
233 00:23:44.070 ⇒ 00:23:54.479 JanieceGarcia: That does bring me to a question I did have about this. For the staff lookup and assignments, and this is something that we have talked about, and we’ve kind of gone back and forth with,
234 00:23:54.890 ⇒ 00:24:06.560 JanieceGarcia: But with the new database, with how the database runs, and how we have it to where we can put people in, and are they service managers, are they supervisors, what zip codes, all that, right?
235 00:24:07.480 ⇒ 00:24:20.700 JanieceGarcia: I think we’re gonna go ahead and take that route to show, okay, like, Steven, for example, Steven’s a branch manager, so we have him listed in the database as a branch manager. Well, who is he over? San Antonio as a whole.
236 00:24:20.790 ⇒ 00:24:28.489 JanieceGarcia: You know? So, I think I’m gonna break down our managers and our supervisors out in the field.
237 00:24:28.600 ⇒ 00:24:33.680 JanieceGarcia: The only worry with that is if… I have…
238 00:24:34.310 ⇒ 00:24:44.109 JanieceGarcia: if I’m able to do it to where they’re over certain people, because it’s not gonna be based off of just area or zip code, it’s gonna be based off of
239 00:24:44.210 ⇒ 00:24:47.060 JanieceGarcia: who’s on their team And this.
240 00:24:47.060 ⇒ 00:24:47.810 Pranav: Gotcha.
241 00:24:47.810 ⇒ 00:24:55.339 JanieceGarcia: QC purposes, so, like, if I needed to send Steven out for a QC for Clint.
242 00:24:55.870 ⇒ 00:25:02.550 JanieceGarcia: it’s not gonna be based upon the zip code, it’s gonna be based because he is the manager over Clint. Does that make sense?
243 00:25:02.910 ⇒ 00:25:05.209 Pranav: Yeah, that definitely makes sense.
244 00:25:05.430 ⇒ 00:25:17.450 Pranav: On our end, it’s, like, very… if you can’t do that just right out of the box with the zip codes, because this sounds, like, a little bit different, where it’s people managing people that are managing areas, right? So, on our end, it’s very similar.
245 00:25:17.450 ⇒ 00:25:18.350 JanieceGarcia: That’s the layer.
246 00:25:18.630 ⇒ 00:25:25.150 Pranav: Yeah, just another layer that we need to build that’s really… we built a system where we can add additional…
247 00:25:25.290 ⇒ 00:25:33.139 Pranav: type of roles, essentially. So it’s not just some… one person’s role, which is managing an area. It’s one… it’s another person’s role for managing people.
248 00:25:33.290 ⇒ 00:25:38.490 Pranav: It’s really easy for us to add that into the… into the database, and I think…
249 00:25:38.760 ⇒ 00:25:45.780 Pranav: So, is that something you’re noticing with, like, a lack of… that that information currently is not being pulled properly?
250 00:25:46.440 ⇒ 00:25:54.549 JanieceGarcia: It’s not being pulled, because we’ve never… we’ve always pointed them back to, like, Paylocity and, like, our link to go in and look, but then…
251 00:25:54.630 ⇒ 00:26:02.870 JanieceGarcia: now that we’re using the database, now that we’re using Andy more, it is questions that come through, because we do have QCs that go out
252 00:26:02.870 ⇒ 00:26:18.859 JanieceGarcia: But Paylocity doesn’t actually break it down based on… like, it would show Steven is over all of San Antonio, but if Steven has managers and supervisors underneath him, it’s not showing them as being the ones that would actually need to go out and QC.
253 00:26:18.970 ⇒ 00:26:29.690 JanieceGarcia: their own little groups. It would still show Steven, because he’s over everybody. But… and that’s… and we don’t want to do that, so I don’t want to cause confusion. I want to make it as easy as possible.
254 00:26:29.830 ⇒ 00:26:39.309 JanieceGarcia: So, and I know in the database they already have it broken down to who’s branch, who’s manager, or service manager, and then who is the supervisor’s.
255 00:26:39.410 ⇒ 00:26:44.060 JanieceGarcia: So, I’m thinking that I can just go in there and add that.
256 00:26:44.580 ⇒ 00:26:49.520 Pranav: Yeah, and I think it makes more sense for it to be in the database, like you said, right? Because…
257 00:26:49.940 ⇒ 00:27:01.390 Pranav: If it’s in Paylocity one way, and there you’re just able to see what region they’re part of, then you have to go back to the database anyways to just see, okay, in that region, who’s covering which areas. Exactly.
258 00:27:01.570 ⇒ 00:27:17.980 Pranav: Yeah, okay. That, I mean, that makes a ton of sense, like, this is definitely something that should be in the database, and yeah, to your point, too, like, you know, it’ll just… it’ll just be, like, one stop for everything, rather than two different locations, like, having to manage Paylocity as well as the database, so…
259 00:27:19.180 ⇒ 00:27:28.929 JanieceGarcia: And I think… and there’s not very many changes that happen based upon, like, supervisors, unless somebody promotes or moves up or goes to sales, whichever, but…
260 00:27:29.170 ⇒ 00:27:37.959 JanieceGarcia: I mean, it’s not something that I would have to update all the time, and I love working with the database now, so I got the hang of it.
261 00:27:38.320 ⇒ 00:27:39.070 Pranav: Cool.
262 00:27:39.070 ⇒ 00:27:43.989 JanieceGarcia: So I’m like, I’d rather update that and just know it’s all in one place than anywhere else.
263 00:27:44.440 ⇒ 00:27:49.899 Pranav: Yeah, so how has updates been in the database? So I know adding has been fine. Updates is just as easy?
264 00:27:50.570 ⇒ 00:28:04.719 Pranav: Okay, perfect, yeah. I mean, I haven’t heard any, like, issues from you, really, in terms of just, like, the functionality of the database, so… yeah, I think… I think, that’s definitely something we can continue to scale up. So, yeah, what you’re mentioning right here with, like, having…
265 00:28:04.980 ⇒ 00:28:07.580 Pranav: You know, just like a regional manager,
266 00:28:07.780 ⇒ 00:28:12.410 Pranav: Oh, our branch manager, yeah. That’s… that’s definitely, like, a good next step for that database.
267 00:28:12.600 ⇒ 00:28:26.430 Pranav: Yeah, I also… we kind of got sidetracked. I wanted to show you guys, as well, just that, that… the triage system and, like, the automation that’s… that are running, in case you haven’t already seen it. So, let me just share that real quick.
268 00:28:36.070 ⇒ 00:28:44.659 Pranav: Yeah, so this is, just like a test doc that Casey was working on, so… usually, you know, linear tickets aren’t this busy, but…
269 00:28:44.950 ⇒ 00:28:47.699 Pranav: What’s happening here is,
270 00:28:48.210 ⇒ 00:28:54.480 Pranav: We kind of talked about, like, a few weeks ago, how for this co-pilot, we want to have a templated response.
271 00:28:54.510 ⇒ 00:29:13.389 Pranav: by either you or a trainer for actual… for actually making content updates. And so, we wanted to make it super simple. We didn’t want it to be, like, a heavy, like, form that people had to fill out, and it would take, like, minutes even. Like, this should just take, like, you know, maybe one to two minutes max.
272 00:29:13.430 ⇒ 00:29:16.080 Pranav: And…
273 00:29:16.720 ⇒ 00:29:29.130 Pranav: So these are the four main fields that are… that are, like, a primary concern. So, the change type, is it, like, an addition? Is it a, you know, just replacing certain content?
274 00:29:29.240 ⇒ 00:29:35.820 Pranav: the target, you know, so we have the 4 or 5 docs, where do we see this information falling?
275 00:29:35.820 ⇒ 00:29:49.999 Pranav: And then here, you know, just rationale proposed content. This proposed content is super, useful because I think a lot of the feedback that I’m seeing that are… that is coming in sometimes, specifically when I was talking to, like, Ashley.
276 00:29:50.000 ⇒ 00:30:04.369 Pranav: We don’t necessarily always just get back, hey, what is the exact right answer? And I think, you know, the trainers, they have that. They just don’t think, maybe till I give that. That’s gonna help a ton, because what we’re gonna do is, with that proposed content.
277 00:30:04.390 ⇒ 00:30:18.119 Pranav: That’s where we’re gonna run the automations to make sure, hey, that information isn’t conflicting with other information in the central doc. And it’s also not duplicate information, because sometimes, you know, if it’s duplicate information.
278 00:30:18.470 ⇒ 00:30:21.510 Pranav: What we need to do on our end is we need to do a better job of
279 00:30:21.700 ⇒ 00:30:26.400 Pranav: having Andy retrieve the information that’s already in there, not just adding more information.
280 00:30:26.550 ⇒ 00:30:36.080 Pranav: So, yeah, these are… and I can kind of show you how this is gonna work, too. It’s really simple. You just copy, like, that form.
281 00:30:36.380 ⇒ 00:30:38.929 Pranav: Add in your… add in the information.
282 00:30:39.040 ⇒ 00:30:41.319 Pranav: And if you leave the comment here.
283 00:30:42.540 ⇒ 00:30:47.700 Pranav: This basically just runs the automation. And so…
284 00:30:47.860 ⇒ 00:30:59.260 Pranav: you’ll see kind of here with, like, the Brainforge AI automations, it just runs it in line with that, with that, with that, chat message, just in a thread.
285 00:30:59.860 ⇒ 00:31:11.680 Pranav: And so, if it fails, you’ll see a label here, and then we’ll be alerted of that to see that, okay, it failed for whatever reason. I think, Janiece, for you too, to have a specific view saying…
286 00:31:12.230 ⇒ 00:31:20.380 Pranav: hey, the automation failed, and it’s gonna fail because they didn’t follow the template properly. It’s another piece of…
287 00:31:20.530 ⇒ 00:31:29.590 Pranav: trainer feedback that you can give. Hey, like, follow the instructions for the… for the feedback, or follow the instructions for the central dock updates.
288 00:31:29.780 ⇒ 00:31:37.039 Pranav: And I think that’ll be, like, a… it’s an easy way to kind of just, like, give a report to a surgery trainer if they’re not following the…
289 00:31:37.220 ⇒ 00:31:39.750 Pranav: The right procedure for the triage tickets.
290 00:31:40.700 ⇒ 00:31:41.340 JanieceGarcia: Okay.
291 00:31:41.340 ⇒ 00:31:46.540 Pranav: And so, yeah, this is the one that I just pasted in, and then down here, you can see that it just automatically ran.
292 00:31:48.110 ⇒ 00:31:57.309 Pranav: And then this recommendation is for us. So, internally, we’re gonna work on another automation as well to automatically update this into the central dock.
293 00:31:57.600 ⇒ 00:31:58.230 Pranav: So…
294 00:31:58.520 ⇒ 00:31:59.089 JanieceGarcia: I guess.
295 00:31:59.090 ⇒ 00:32:12.840 Pranav: kind of… that’s why this information is super important. We need to know, hey, is this gonna be something we need to add? Is this gonna be something we can replace? We can also do something on our end, too, to, like, give a suggestion on that. Say if it’s, you know, the…
296 00:32:13.020 ⇒ 00:32:23.240 Pranav: the trainer or you, you don’t know exactly if that information is in there or not. We can… we’re also building some stuff to automatically detect that.
297 00:32:23.820 ⇒ 00:32:26.600 Pranav: But this proposed content thing is what’s most important.
298 00:32:28.090 ⇒ 00:32:28.860 Pranav: Yeah.
299 00:32:29.230 ⇒ 00:32:35.830 Pranav: Yeah, so that… I just wanted to show you guys that. This is, like, the first of many of, like, the automations we’re gonna build in this triage system.
300 00:32:35.980 ⇒ 00:32:38.009 Pranav: So, the other one is…
301 00:32:38.140 ⇒ 00:32:44.120 Pranav: I mentioned, kind of, you know, the… if it’s… is it duplicate information, or is it,
302 00:32:44.230 ⇒ 00:32:53.319 Pranav: Is it conflicting information? That’s also going to be another automation that runs as soon as this, this form is filled out and sent here. So…
303 00:32:53.600 ⇒ 00:33:05.849 Pranav: Yeah, I think, janice, I just kind of wanted to demo this for now. Next week, what we can do is we can fully… me and you, and Yvette, we can talk about the full triage system as it exists.
304 00:33:05.850 ⇒ 00:33:06.240 JanieceGarcia: Yeah.
305 00:33:06.240 ⇒ 00:33:07.740 Pranav: Wow.
306 00:33:07.900 ⇒ 00:33:16.780 Pranav: it’s pretty similar, like you said, to, like, what it was before, but I just kind of want to tell you guys all the automations that are running, so you guys are just aware of it.
307 00:33:17.900 ⇒ 00:33:26.129 JanieceGarcia: Okay, awesome. No, that’s… that’s gonna help out so much. So much, so much. I’m excited for it. I’m ready.
308 00:33:26.670 ⇒ 00:33:27.940 Pranav: Awesome, awesome, awesome.
309 00:33:30.450 ⇒ 00:33:40.799 Pranav: Cool. I mean, I was gonna talk about transcripts a little bit, we talked about it a little bit in the beginning, but I know Yvette was mentioning how,
310 00:33:41.000 ⇒ 00:33:51.999 Pranav: this cancellation, thing that she’s working on, this effort of… there’s a lot of people canceling, how can we use transcripts to assess why cancellations are happening?
311 00:33:52.940 ⇒ 00:34:01.250 Pranav: I think she’s just, I think she had a pretty busy week just before she left, so she’s… she still needs to just send over some information regarding…
312 00:34:02.840 ⇒ 00:34:11.149 Pranav: Certain… certain individuals that she wants to be, like, looking for, or certain departments that she wants to be looking into to assess the cancellations, but…
313 00:34:11.909 ⇒ 00:34:12.479 JanieceGarcia: Yeah.
314 00:34:12.480 ⇒ 00:34:15.530 Pranav: I think we’re… I’ll sync with her on that.
315 00:34:16.550 ⇒ 00:34:22.210 JanieceGarcia: Definitely do that. I think I know. I want to say it’s home improvement, and it’s,
316 00:34:22.750 ⇒ 00:34:30.819 JanieceGarcia: And it’s going to… the trash bin services? I think, but I’m not sure, 100%.
317 00:34:31.550 ⇒ 00:34:32.840 Pranav: Gotcha, gotcha.
318 00:34:33.090 ⇒ 00:34:39.009 Pranav: I just saw Utam’s message here. I am coming to Austin next weekend.
319 00:34:41.920 ⇒ 00:34:49.100 Pranav: Yeah, so I don’t know if you guys are around, I’d love to come by and swing by to San Antonio’s or Austin,
320 00:34:49.290 ⇒ 00:35:07.199 Pranav: that I’ll be there for, like, a different event that Utam is, kind of, like, setting up for, like, a few different, like, Brainforge folk. But on Tuesday or something, we could maybe plan something. I don’t know if you guys are usually in the office during that time, but I’d love to just, you know, come by and say hi.
321 00:35:07.600 ⇒ 00:35:10.310 JanieceGarcia: You’re talking about Tuesday the 21st?
322 00:35:10.960 ⇒ 00:35:12.230 Pranav: 21st, yes.
323 00:35:13.640 ⇒ 00:35:27.330 JanieceGarcia: I can definitely be in Austin that day. I don’t know if Yvette would be able to, or if you are able to come to San Antonio, well, I’ll be in San Antonio. Well, I can’t speak for Steven.
324 00:35:28.200 ⇒ 00:35:28.640 Pranav: Oh, okay.
325 00:35:28.640 ⇒ 00:35:29.750 Steven: I’ll be here, yeah.
326 00:35:30.660 ⇒ 00:35:32.289 Pranav: Steven, you’re in, San Antonio?
327 00:35:33.510 ⇒ 00:35:52.069 Pranav: Okay, cool, cool. Yeah, let me… then on Monday, let me check in with Yvette, and then we’ll just see if what day works for her, because my… my trip is until Tuesday, but open to extending that, maybe if Wednesday works out better, so… we can… we can talk about that then. Oh, that’s exciting. That’ll be fun.
328 00:35:52.640 ⇒ 00:35:57.150 JanieceGarcia: Yeah, heck yeah! Yeah, we’re all in San Antonio, we just travel to Austin on Thursdays.
329 00:35:57.730 ⇒ 00:35:59.909 Pranav: Okay, gotcha, gotcha.
330 00:36:00.030 ⇒ 00:36:00.770 Pranav: Cool.
331 00:36:01.540 ⇒ 00:36:04.220 Steven: You heading, you’re heading to Austin tomorrow?
332 00:36:04.810 ⇒ 00:36:24.280 Pranav: I’m heading to Austin tonight, actually, yeah. Oh, okay. Well, I’m heading to Austin tonight for a completely different thing. But then next week, Utom kind of notified me this, like, last week, saying, hey, we have this thing going on, do you want to come by? And I’m always looking for an excuse to come to Austin, so I was like, sure, back-to-back weeks, I’ll fly, so…
333 00:36:24.280 ⇒ 00:36:24.710 Steven: Nice.
334 00:36:25.450 ⇒ 00:36:26.050 Pranav: So…
335 00:36:26.050 ⇒ 00:36:27.260 JanieceGarcia: Nice!
336 00:36:27.260 ⇒ 00:36:29.129 Pranav: Yeah, yeah, that’ll be fun. That’ll be fun.
337 00:36:29.130 ⇒ 00:36:31.560 JanieceGarcia: You’re moving to Austin in June, right?
338 00:36:31.560 ⇒ 00:36:35.239 Pranav: I am, yeah. I can’t get enough of Austin.
339 00:36:36.490 ⇒ 00:36:38.639 Steven: Where are you at right now? Where are you based at right now?
340 00:36:38.950 ⇒ 00:36:40.280 Pranav: I’m in Massachusetts.
341 00:36:40.480 ⇒ 00:36:41.160 Steven: Okay.
342 00:36:41.380 ⇒ 00:36:41.850 Pranav: Yeah.
343 00:36:41.850 ⇒ 00:36:43.420 Steven: Yeah, come on down, it’s warmer.
344 00:36:43.420 ⇒ 00:36:50.989 Pranav: I know, I know. This is the time where it’s less fun to be in Austin, you know, as it, maybe, as it gets to June and July.
345 00:36:51.180 ⇒ 00:36:54.720 Steven: Yeah, you shouldn’t have waited till, like, November, but that’s alright.
346 00:36:54.720 ⇒ 00:36:56.710 Pranav: It’s okay, it’s okay, yeah.
347 00:36:57.650 ⇒ 00:36:59.440 Pranav: Cool.
348 00:36:59.830 ⇒ 00:37:07.759 Pranav: Yeah, Steven, I know we don’t, like, you know, I haven’t seen you in, like, these meetings that often, so happy to kind of stick around for a little bit longer if you want to…
349 00:37:07.900 ⇒ 00:37:12.619 Pranav: you know, just ask any more questions about just where we’re at currently.
350 00:37:12.760 ⇒ 00:37:16.659 Pranav: Or else, yeah, we can just… we can call it 2 as well, a little bit early.
351 00:37:17.260 ⇒ 00:37:22.699 Steven: Yeah, let’s touch base. I’ve got a guy wait, just came in, he’s waiting on me for a quick meeting here, so…
352 00:37:23.350 ⇒ 00:37:30.549 Steven: Don’t want to stick around too long. But yeah, no, I’ll touch base. Like I said, Janiece keeps me pretty in the loop, and then hopefully we can…
353 00:37:30.750 ⇒ 00:37:32.780 Steven: Maybe meet in person next week would be great.
354 00:37:33.070 ⇒ 00:37:34.760 Pranav: That’d be awesome. Cool.
355 00:37:35.180 ⇒ 00:37:38.670 Pranav: Awesome. Alright, Janiece, anything lo- anything else, or…
356 00:37:39.040 ⇒ 00:37:39.769 Pranav: We’re good to go.
357 00:37:40.290 ⇒ 00:37:43.959 JanieceGarcia: I am good to go! That is all I have. Thank you, thank you, thank you.
358 00:37:43.960 ⇒ 00:37:45.629 Pranav: Awesome. Yeah, thank you guys.
359 00:37:45.630 ⇒ 00:37:46.080 Steven: Thank you, Al.
360 00:37:46.470 ⇒ 00:37:47.020 JanieceGarcia: mate.
361 00:37:47.440 ⇒ 00:37:48.170 Steven: Bye, bye.
362 00:37:48.170 ⇒ 00:37:48.969 Pranav: Yeah. Bye.