Meeting Title: Uttam_Yvette Date: 2025-02-20 Meeting participants: Yvetteruiz, Uttam Kumaran
WEBVTT
1 00:01:21.070 ⇒ 00:01:22.110 Uttam Kumaran: Hey!
2 00:01:22.630 ⇒ 00:01:23.360 YvetteRuiz: Hi.
3 00:01:23.360 ⇒ 00:01:24.519 Uttam Kumaran: Hi! How are you?
4 00:01:24.520 ⇒ 00:01:27.520 YvetteRuiz: I’m doing well, how about you?
5 00:01:27.993 ⇒ 00:01:30.130 Uttam Kumaran: Well, yeah, stay warm.
6 00:01:30.360 ⇒ 00:01:32.700 Uttam Kumaran: It’s cold. I know it’s insane.
7 00:01:33.340 ⇒ 00:01:34.299 YvetteRuiz: Yes, it is.
8 00:01:34.300 ⇒ 00:01:36.308 Uttam Kumaran: I I can’t believe it.
9 00:01:37.286 ⇒ 00:01:39.843 YvetteRuiz: I know that wind. It’s chilly.
10 00:01:40.270 ⇒ 00:01:41.090 Uttam Kumaran: At all.
11 00:01:42.270 ⇒ 00:01:50.170 Uttam Kumaran: How was how was meeting with Miguel? I’ve been getting all the updates. And so we’ve been sort of working on a couple of other things. How was it this week?
12 00:01:50.340 ⇒ 00:01:58.490 YvetteRuiz: Yeah, it was good. It was good. I felt kind of bad because I was like his time. Difference, I’m like, Oh, my goodness, I’m so sorry he’s like I’m used to it.
13 00:01:58.730 ⇒ 00:02:03.479 Uttam Kumaran: Yeah. Miguel is like a Miguel is sort of like a night owl, but has helped us sort of build
14 00:02:03.620 ⇒ 00:02:08.189 Uttam Kumaran: everything. He’s the only, you know, when I was 1st starting to do AI work.
15 00:02:08.340 ⇒ 00:02:15.300 Uttam Kumaran: there was like only a couple of people. I even knew that could do that. And so we got connected, and he’s awesome as well.
16 00:02:15.300 ⇒ 00:02:15.980 YvetteRuiz: Yeah.
17 00:02:15.980 ⇒ 00:02:22.522 Uttam Kumaran: Time. So yeah, it’s it’s so nice having. And yeah, do tell him like, dude you gotta get.
18 00:02:23.440 ⇒ 00:02:26.850 Uttam Kumaran: But also he just is like he just works all the time. So.
19 00:02:26.850 ⇒ 00:02:44.449 YvetteRuiz: I gotcha I gotcha. Well, he’s been great. It’s been good to working with him. So yeah. But I but thank you for for agreeing to meet with me. I just wanted to check in with you to make sure that I’m comprehending a lot of the assignments and stuff one because
20 00:02:44.770 ⇒ 00:03:02.109 YvetteRuiz: my goal was to to really stick committed to this right here, right? But I also know that I gotta tap in other players as well like Janice and some of the other managers, and that way they can start contributed and and giving that. But because I’ve been dealing with the reviews, and then, of course, every other fire that comes up. I kind of been like
21 00:03:02.270 ⇒ 00:03:03.500 YvetteRuiz: all over the map.
22 00:03:03.500 ⇒ 00:03:03.850 Uttam Kumaran: Yeah.
23 00:03:03.850 ⇒ 00:03:09.750 YvetteRuiz: Last couple of weeks, so I wanted just to check in to make sure that
24 00:03:10.090 ⇒ 00:03:21.146 YvetteRuiz: we’re aligned. Have I? I don’t think I I think I still owe you some information. So I just wanted to kind of just check in and see, okay, what do I owe you? Where do I need to stay focused.
25 00:03:21.410 ⇒ 00:03:21.860 Uttam Kumaran: Yes.
26 00:03:23.160 ⇒ 00:03:42.480 Uttam Kumaran: So the 2 biggest areas, I think, is one is. And I think maybe this is Janice. Maybe this is Janice, and someone else is to help me work through. A bit of work on the Golden data set. I know that we that Miguel went through and filled out a little bit, but I wanna sort of look through that and and continue to iterate on that
27 00:03:42.650 ⇒ 00:03:45.270 Uttam Kumaran: with somebody, and almost like
28 00:03:45.530 ⇒ 00:04:07.750 Uttam Kumaran: making sure that these questions are exactly aligned and and also ranked, and sort of easy to hard terms of questions that we can make sure get answered. So that’s like the one thing I still want to continue to see if we can get time to to work directly on like, what do you think about that? Is that something I can work on directly with someone on the team.
29 00:04:08.300 ⇒ 00:04:22.967 YvetteRuiz: Yeah. So Janice is gonna be a perfect one. So when can we cart? And she’s also she was. She’s been out of town all week this past week. But yeah, she because she’s the overall trainer. It she’s gonna be your best one to go in there and work with.
30 00:04:23.250 ⇒ 00:04:35.910 Uttam Kumaran: Okay, I would love to just I can. I can maybe email, both of you guys. And then sort of coordinate a time because I would love to just do that. And I think the other thing is, it would be great to get a couple of example calls.
31 00:04:35.910 ⇒ 00:04:57.160 YvetteRuiz: Calls. Yes, that’s what I was gonna cause I have the the metrics. And I have calls. And I was like, Okay, I still owe him some phone calls so what I had started doing, and I was kind of picking some that were really good for you, that you know what I mean, like some of them that were the the average handle. Time was high because they were kind of looking. So I was trying to get you some good ones. But this is why I needed your help like.
32 00:04:57.480 ⇒ 00:05:02.429 YvetteRuiz: let me not overthink. But like, Okay, what’s what is a good amount of different calls to send you.
33 00:05:02.690 ⇒ 00:05:11.859 Uttam Kumaran: Exactly anything you can send us there, because I’m gonna continue to build up this list because we want to prove that it’s actually able to answer these complicated questions.
34 00:05:11.860 ⇒ 00:05:12.380 YvetteRuiz: Yes.
35 00:05:12.380 ⇒ 00:05:18.189 Uttam Kumaran: Now, where it’s complicated, we will identify. Is that because it doesn’t have the info? Or is that because the info is in multiple places
36 00:05:18.606 ⇒ 00:05:37.599 Uttam Kumaran: we are able to actually do a lot of the spreadsheet level retrieval things that you know, for example, give me the maintenance text in like a certain Zip code, it’s able to answer those which is like, really, really amazing. I think we’re we’re having a couple of issues that there’s some. If there’s some info that we don’t have
37 00:05:38.026 ⇒ 00:05:41.869 Uttam Kumaran: where we need to go, identify like if it’s in the dock, is it the right stuff?
38 00:05:42.600 ⇒ 00:05:42.930 YvetteRuiz: Yep.
39 00:05:42.930 ⇒ 00:05:45.739 Uttam Kumaran: That that what I’ll do is as we’re going through. And
40 00:05:45.860 ⇒ 00:05:53.409 Uttam Kumaran: we’re gonna start running the tests like, often around this data set, I will flag in that golden data said, Hey.
41 00:05:53.740 ⇒ 00:06:06.500 Uttam Kumaran: this needs to go get updated, or we know, need we need to know what the right answer for? This is. So that data set that data set. And then the the large Bible sheet is gonna be, you know, basically.
42 00:06:06.970 ⇒ 00:06:07.440 YvetteRuiz: The key.
43 00:06:07.440 ⇒ 00:06:08.840 Uttam Kumaran: The core, 2 things.
44 00:06:08.840 ⇒ 00:06:09.550 YvetteRuiz: Yeah.
45 00:06:09.710 ⇒ 00:06:35.119 YvetteRuiz: okay. And that’s kind of where that golden date. That was one of the things that I, Janice and I were spending time. We were spending time. Because I told her, I said, Look, we’re gonna really have to dive deep into this because just again going through some of the questions we’ve been asking. It’s like, yeah, it’s it’s almost okay. But we can go in there and clean that up. And I guess when we identify that we didn’t. Where do do we create our own spreadsheet, or how do we? Or is it
46 00:06:35.120 ⇒ 00:06:36.090 YvetteRuiz: so you can.
47 00:06:36.380 ⇒ 00:06:40.250 Uttam Kumaran: Yeah, you can. Just so if you’re identifying like a like, a question.
48 00:06:40.660 ⇒ 00:06:42.550 Uttam Kumaran: Put it directly in that spreadsheet.
49 00:06:42.790 ⇒ 00:06:43.240 YvetteRuiz: Okay.
50 00:06:43.240 ⇒ 00:06:45.549 Uttam Kumaran: The question, and then what the answer is?
51 00:06:45.770 ⇒ 00:07:05.000 Uttam Kumaran: That’s it. So you’ll see there’s a column there now, that’s called expected answer, and I just left some examples of like, how to start these questions like, How can I do this? Is this possible? But would love just any, any question you have. And any answer. And again, we’ll build this up over time. The 1st push is, gonna take a little bit. But
52 00:07:05.390 ⇒ 00:07:07.879 Uttam Kumaran: yeah, that would be. That would be ideal.
53 00:07:07.880 ⇒ 00:07:17.289 YvetteRuiz: Okay, great. And I was meeting with Steven earlier. And and I know we’re still in the process of of you know, kind of laying all this piece out. But let’s say, for instance.
54 00:07:17.610 ⇒ 00:07:18.709 YvetteRuiz: there’s like
55 00:07:19.210 ⇒ 00:07:31.180 YvetteRuiz: documents that we want. I guess maybe adjust. Maybe it’s not quite in there. How do we make sure that we we put those in there so like right now, one of the things that we really want to
56 00:07:31.320 ⇒ 00:07:51.859 YvetteRuiz: cleanup is our cancellation process. Right? So like, if a if a customer calls in to cancel, I want them to be able, like, okay, they said, they move, they’re moving. Okay, what are those things that we’re going to offer to them if they’re moving, or what should we be asking them, you know, are they moving in the city to another location. Can we get you scheduled? You know those things. So how do I.
57 00:07:52.500 ⇒ 00:08:04.929 Uttam Kumaran: Yeah. So right now, I’m I’m in the past control sheet. And I just see that there’s 1 thing about call lists and cancellations. And I just did a control. F, and I can see that there are cancellation requests.
58 00:08:05.405 ⇒ 00:08:10.904 Uttam Kumaran: I can just send you this. I’ll send it to you in the Zoom chat, and you can
59 00:08:15.400 ⇒ 00:08:21.520 Uttam Kumaran: and I just search for where the cancellation lists are. And I do see information here on
60 00:08:21.740 ⇒ 00:08:24.630 Uttam Kumaran: cancellation request that we’ve we copied over.
61 00:08:29.410 ⇒ 00:08:32.100 YvetteRuiz: And then Miguel did share with me
62 00:08:35.990 ⇒ 00:08:49.969 YvetteRuiz: cause. There were some things that I was, and and it could be me again. This is why I want to have this meeting with you. So like, I know a lot of the documents that you guys have access to. I thought that you guys had access to like all our customer service documentation?
63 00:08:50.760 ⇒ 00:08:52.549 YvetteRuiz: Or is it just the pest.
64 00:08:52.820 ⇒ 00:08:55.239 Uttam Kumaran: We just have the stuffer passed.
65 00:08:55.360 ⇒ 00:09:03.020 Uttam Kumaran: So we’re just scoping it down to everything related to past. Think there’s probably some stuff in even the stuff you shared for past
66 00:09:03.330 ⇒ 00:09:07.899 Uttam Kumaran: that is broader, like I know, for example, the
67 00:09:09.200 ⇒ 00:09:15.110 Uttam Kumaran: well, I guess I do. I do just have the pest directories and the Pest division technician. So all that is just pest focused.
68 00:09:15.954 ⇒ 00:09:18.650 Uttam Kumaran: But at the moment all the stuff we have is just passed.
69 00:09:21.520 ⇒ 00:09:23.470 YvetteRuiz: Okay? So
70 00:09:24.150 ⇒ 00:09:35.729 YvetteRuiz: eventually, I guess, cause that when you look at like when we talk about Csr knowledge base, that would because I have cross trained agents. You know what I mean. So if I have an agent and best, you know, if they get a long question.
71 00:09:35.890 ⇒ 00:09:47.419 YvetteRuiz: that’s again that that other spreadsheet that I was talking to you got, and I’m and I’m trying to take it in sections. I just want to again make sure that I understand everything that we’re we’re trying to get to. And what we’re currently working on.
72 00:09:47.420 ⇒ 00:09:49.900 Uttam Kumaran: Yeah, I think we’re just focused on pest, basically.
73 00:09:49.900 ⇒ 00:09:50.250 YvetteRuiz: Hi.
74 00:09:50.250 ⇒ 00:10:06.729 Uttam Kumaran: We nail pest will give us the template for how we could go into other domains. And again through this process we will hook. We now got the hookup to Google Chat working, too. So you’ll be able to now directly chat with it
75 00:10:07.030 ⇒ 00:10:19.969 Uttam Kumaran: like just in Google chat. So that way, it’ll help the Csrs there, and we’ll sort of demo that tomorrow, and then we’re also tomorrow we’ll show a dashboard where you can start to see what questions are being asked, and everything like that.
76 00:10:20.390 ⇒ 00:10:22.452 YvetteRuiz: Okay. Alright, the one like what we did.
77 00:10:23.660 ⇒ 00:10:25.440 YvetteRuiz: kind of like the exercise I did with Miguel.
78 00:10:25.440 ⇒ 00:10:26.160 Uttam Kumaran: Yes.
79 00:10:26.330 ⇒ 00:10:27.080 YvetteRuiz: Okay.
80 00:10:29.351 ⇒ 00:10:34.128 Uttam Kumaran: But I think that’s it. Like I, I feel like we have most of the information. Otherwise.
81 00:10:35.344 ⇒ 00:10:39.630 Uttam Kumaran: If I can just grab time to go through that with Denise,
82 00:10:40.850 ⇒ 00:10:47.130 Uttam Kumaran: and just sit with her and sort of go one by one through those questions. And then yeah, any amount of phone calls that you can send us
83 00:10:47.240 ⇒ 00:10:54.050 Uttam Kumaran: would be super amazing. Our team just to listen to those and sort of get a sense of
84 00:10:54.634 ⇒ 00:10:56.210 Uttam Kumaran: the core issue. So.
85 00:10:56.740 ⇒ 00:11:17.869 YvetteRuiz: Okay. Alright? Well, then, I will get you the cause. I’ll send them to you. Yeah, just let send us an email when, and then you guys can coordinate the time. If if I can pop in, I’ll pop in and stuff like that. But you know, I think she’s the best one to go through those exercises with her. To go through that exercise with you. And yeah, I think that’s where.
86 00:11:18.200 ⇒ 00:11:18.860 Uttam Kumaran: Okay.
87 00:11:18.860 ⇒ 00:11:19.460 YvetteRuiz: Rules.
88 00:11:20.500 ⇒ 00:11:35.219 Uttam Kumaran: Yeah, no, I know everybody gets super busy. So for me, it’s just like finding who has time and then how I could. But we’ve made a lot of progress. So again, there was a lot of stuff that we were we just needed to do anyways. So we got through a lot of that in the next 2 weeks is really going to be focused on
89 00:11:35.490 ⇒ 00:11:59.409 Uttam Kumaran: working and try and test it with some real world examples, and then ideally see if we can roll out to one or 2 people to just test and give us some core feedback. Ideally, we can come on and maybe even just train someone on the questions. One thing that we’ll work on is sort of how to use this, and there’ll be some training that we’ll need to do on like what questions you can ask, what questions you you probably shouldn’t ask, like, how to use this.
90 00:11:59.925 ⇒ 00:12:04.199 YvetteRuiz: But I think we’ll we’ll probably talk about that in the next 2 weeks. So
91 00:12:04.520 ⇒ 00:12:10.429 YvetteRuiz: okay, so that was one of my questions that I was asking Miguel, and I may have been asking him way too many questions so like the
92 00:12:10.670 ⇒ 00:12:16.600 YvetteRuiz: the AI assistant that we’re using that because I was like, should we share that with? But that’s not what we’re going to share with.
93 00:12:16.600 ⇒ 00:12:17.139 Uttam Kumaran: In the market.
94 00:12:17.140 ⇒ 00:12:18.400 YvetteRuiz: You’re okay.
95 00:12:18.400 ⇒ 00:12:21.319 Uttam Kumaran: We’re gonna have it all available through Google Chat that way.
96 00:12:21.320 ⇒ 00:12:21.720 Uttam Kumaran: Got it?
97 00:12:21.720 ⇒ 00:12:23.330 Uttam Kumaran: That’s secure.
98 00:12:23.907 ⇒ 00:12:36.740 Uttam Kumaran: And then it doesn’t. You know, they don’t have to open another thing, basically. And then that way, they can have it open. I think there’s a lot of other, probably things we could do in case like to to improve that. But that’s where it’ll live.
99 00:12:37.276 ⇒ 00:12:40.830 Uttam Kumaran: You know that way, for Tim’s sake. It’s all secure under the
100 00:12:41.110 ⇒ 00:12:48.660 Uttam Kumaran: onto the ABC. Home sort of security world, but it’s super easy for the Csr to just chat directly with it. There.
101 00:12:49.900 ⇒ 00:12:53.190 YvetteRuiz: Okay, alright, that sounds good. Then
102 00:12:53.390 ⇒ 00:13:11.179 YvetteRuiz: alrighty. So just shoot it, shoot over that email. And so then that way, we can work on like, I said. I’m still poking in there because there’s again. I had already kind of laid out a couple of things that I have questions on with Janice as a trainer, because when I look at it and I’m just like this isn’t right. We really gotta go in there and clean this stuff up.
103 00:13:11.800 ⇒ 00:13:12.560 Uttam Kumaran: Yeah, okay.
104 00:13:13.490 ⇒ 00:13:13.870 YvetteRuiz: Okay.
105 00:13:13.870 ⇒ 00:13:15.180 Uttam Kumaran: Okay, perfect.
106 00:13:15.720 ⇒ 00:13:25.890 YvetteRuiz: Alrighty oh, one last question. So let’s say, once we have this, you know all the documents cleaned up.
107 00:13:26.130 ⇒ 00:13:27.660 YvetteRuiz: You know we’re
108 00:13:27.850 ⇒ 00:13:51.110 YvetteRuiz: we’ve already gone through like the whole process of it. And let’s say, for instance, now we gotta go in there and make an update to a document. Right? So we talked. I I think we talked about like a change man. How is that? Can you kind of just give me an idea of how that’s going to work. And then how would the agents know, hey? Because sometimes I feel like, even with the AI assistant, they’re gonna just kind of
109 00:13:51.230 ⇒ 00:13:55.799 YvetteRuiz: like the stuff that they know they’re gonna go with it. But how would they know like, Hey, something’s changed.
110 00:13:55.800 ⇒ 00:14:11.949 Uttam Kumaran: Yeah, that’s a good question. We originally, we were just saying we can go in and make updates. But I do think that if if the change management wants to evolve a piece of like, here are the communicated changes that we definitely want to start to keep it like a version control log of of this
111 00:14:12.240 ⇒ 00:14:20.460 Uttam Kumaran: of this giant sheet, basically. And we sort of keep track of what gets changed. So I can tell the team to start to basically snapshot. This
112 00:14:20.970 ⇒ 00:14:27.760 Uttam Kumaran: updates, we sort of have a log that way also, over a week or 2 weeks, or whatever you can summarize the changes.
113 00:14:27.870 ⇒ 00:14:32.839 Uttam Kumaran: And you can even use the AI agent to do that for you, and then basically
114 00:14:33.280 ⇒ 00:14:40.600 Uttam Kumaran: give it a summary of like, Hey, we’ve updated Xyz this, these are the updates. Here’s where you can go into the document to find more details.
115 00:14:40.700 ⇒ 00:14:44.960 Uttam Kumaran: so we’ll we’ll I’ll send it to the team right now, and we can add that as well.
116 00:14:45.310 ⇒ 00:14:50.929 YvetteRuiz: Okay, okay, that that’ll be perfect. I started thinking thinking about that. And I was like, I’m not 100% certain.
117 00:14:50.930 ⇒ 00:14:51.890 Uttam Kumaran: That makes sense.
118 00:14:51.890 ⇒ 00:14:52.530 YvetteRuiz: Yeah.
119 00:14:55.850 ⇒ 00:15:06.240 YvetteRuiz: and so are you guys do, are you guys using any of the you said, you’re using some of the AI bots right like for are you like for calls or.
120 00:15:06.240 ⇒ 00:15:22.160 Uttam Kumaran: In our company. Yeah, so we are. We use it like, for example, we, we have inquiries from customers. So we use it to go do customer research? We aren’t using it for calls. But we did set one up. Most of our clients are all email or zoom
121 00:15:22.618 ⇒ 00:15:25.800 Uttam Kumaran: but yeah, we are starting to test out like, voice.
122 00:15:26.190 ⇒ 00:15:26.650 YvetteRuiz: Okay.
123 00:15:26.650 ⇒ 00:15:36.610 Uttam Kumaran: Voice as well. A lot of the stuff we use. AI for is, for example, like meetings with clients, will take the transcripts of all these meetings. And that way we can make sure we didn’t miss anything.
124 00:15:37.250 ⇒ 00:15:48.889 Uttam Kumaran: And make sure, like action items get updated. Because for us, we plan using like tickets and engineering sprints, and so make sure that we capture all the information we use a lot of AI in our processes for that.
125 00:15:49.390 ⇒ 00:15:49.840 YvetteRuiz: Okay.
126 00:15:49.840 ⇒ 00:15:51.020 Uttam Kumaran: Super super helpful.
127 00:15:51.340 ⇒ 00:16:06.070 YvetteRuiz: Gotcha. Alright, cause we you know, we’re starting to test it. I mean, we’re we were working with the company about same day. For after our phone calls. So I just now, as I’m working with you, I was just kind of curious. I wonder if he can share some insight information.
128 00:16:06.070 ⇒ 00:16:30.439 Uttam Kumaran: You know. What we should try to do is maybe I could ask so, Miguel, one of the reasons that I was very interested in working with him, and why he works with. He’s an expert in voice like for phone he. So what I may ask him to see if he can just hook the agent up to a phone line. And that way you can test calling in sort of seeing it. We we have one. We have already have a number, so maybe I’ll just ask him to repurpose that.
129 00:16:30.480 ⇒ 00:16:41.179 Uttam Kumaran: And then that way you can just see what the capabilities are. I’ll message him, and he’ll he’ll get it done really quick cause we already have some stuff set up. We tried to make one for us, but nobody’s calling us. So
130 00:16:42.850 ⇒ 00:16:49.039 Uttam Kumaran: that’s the technology. But I’ll ask him to set it up. And basically, it’ll use the same brain here.
131 00:16:49.300 ⇒ 00:16:49.930 YvetteRuiz: Okay.
132 00:16:49.930 ⇒ 00:16:59.539 Uttam Kumaran: And then it should be able to. It’ll basically similarly, like, when you talk to it, it will just respond in voice. And maybe that’s maybe maybe it’s worth testing out as well.
133 00:16:59.770 ⇒ 00:17:00.370 YvetteRuiz: Yeah.
134 00:17:00.490 ⇒ 00:17:11.619 YvetteRuiz: I would love to like. I said, I mean that now that I’m you know, we’re building our this relationship. And you know you’re getting to know our line of business, I mean, I again I’m already tapping into is this.
135 00:17:11.740 ⇒ 00:17:15.559 YvetteRuiz: I I would feel more comfortable now that I’m working with you to kind of get your your feet.
136 00:17:15.950 ⇒ 00:17:17.700 YvetteRuiz: your insight and your guidance on that
137 00:17:18.129 ⇒ 00:17:21.840 YvetteRuiz: because it’s there’s just so much out there, and it’s so overwhelming.
138 00:17:22.150 ⇒ 00:17:31.769 Uttam Kumaran: Yes, it’s just like way too much. A lot of companies are like we do that. And you go. And you have to talk to 10 people and like you have to sign a contract like.
139 00:17:32.293 ⇒ 00:17:57.320 Uttam Kumaran: I don’t like stuff like that. I’m like, if I can’t mess around with it. We’re not gonna use it. I can’t tell clients about it. And you’ll see you’ll be. You’ll be unsurprised that, like most of the reasons they do that because they don’t do. They can’t do what they say they can do. But we try to use a lot of tools where, like, you can test it out for free. And they’re also pretty cost effective. And they’re also like developer friendly meaning. It’s easy to build on top of.
140 00:17:57.860 ⇒ 00:17:58.480 YvetteRuiz: Gotcha.
141 00:17:58.758 ⇒ 00:18:02.380 Uttam Kumaran: So yeah, I’ll ask them about both these things about the change management.
142 00:18:03.210 ⇒ 00:18:07.044 Uttam Kumaran: seeing if we can just hook up a voice agent to the on top of this, so.
143 00:18:07.270 ⇒ 00:18:10.589 YvetteRuiz: Excellent, excellent, excellent, excellent! Alrighty! Well, I appreciate the help.
144 00:18:10.590 ⇒ 00:18:11.000 Uttam Kumaran: Yeah.
145 00:18:11.000 ⇒ 00:18:15.830 YvetteRuiz: Thank you for taking the time. Again. I just needed it somebody to rein me in and make sure that I’m.
146 00:18:16.050 ⇒ 00:18:17.580 Uttam Kumaran: That’s helpful. No, no problem.
147 00:18:18.210 ⇒ 00:18:19.369 Uttam Kumaran: Yeah, of course.
148 00:18:19.370 ⇒ 00:18:30.190 YvetteRuiz: Okay, alrighty. Well, let us know. We’ll meet tomorrow. I I feel like we’re moving right along. I’ve updated Matt, I mean, and let him know where we’re at. Everything’s going, you know.
149 00:18:30.420 ⇒ 00:18:33.244 YvetteRuiz: You know, we’re we’re doing really good on this end. So yeah.
150 00:18:33.480 ⇒ 00:18:34.090 Uttam Kumaran: Awesome.
151 00:18:34.380 ⇒ 00:18:35.020 YvetteRuiz: Alrighty!
152 00:18:35.020 ⇒ 00:18:36.349 Uttam Kumaran: Thank you so much. Talk tomorrow.
153 00:18:36.510 ⇒ 00:18:37.600 YvetteRuiz: Alright! Take care! Bye.