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Feb 3, 2025

This Manager Minute episode spotlights how the Massachusetts Commission for the Blind and MassAbility are leveraging AI to improve service delivery. Host Carol Pankow discusses innovative AI applications with guests Lola Akinlapa, Nathan Skrocki, and John Oliveira. They explore an AI-assisted intake platform designed to streamline processes, enhance multilingual support, and enable faster access to services. The conversation also highlights AI-powered tools like policy lookup systems and data visualization platforms like Tableau. Emphasizing accessibility and transparency, the episode showcases AI’s potential to alleviate administrative bottlenecks, support staff, and empower consumers while preserving the human touch in service delivery.

 

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Full Transcript:

 

{Music}

John: We were looking for items that might be helpful to our staff. As many of our veteran counselors move on to retirement, it became imperative that we find a way that the newer counselors could find access to information quickly.

 

Lola: We're not looking to reduce workforce. We're not looking to reduce your day to day operations, right. We're looking to streamline and to make the consumer's journey at MassAbility more accessible to them.

 

Nate: What we're doing is just enhancing and streamlining the process to better understand and strengthen their policy knowledge, to make their jobs a little bit easier.

 

Intro Voice: Manager Minute brought to you by the VRTAC for Quality Management, Conversations powered by VR, one manager at a time, one minute at a time. Here is your host Carol Pankow.

 

Carol: Well, welcome to the manager minute. Today joining me in the studio is Lola Akinlapa, director of strategic initiatives in Massachusetts. Nathan Skrocki, Policy director at the Massachusetts Commission for the blind. And John Oliveira, Commissioner for the Mass Commission for the blind. So how goes it, Lola?

 

Lola: Oh, everything is good. Thank you for having me, Carol. I think this is a really great forum to kind of spread the word on what we've been doing at the state of Massachusetts.

 

Carol: Excellent. How about you, Nate? How are you doing today?

 

Nate: Happy new year. Doing well. Glad to be here. Thank you.

 

Carol: Excellent. And last but not least, John, how is it? How are things? You got a new role.

 

John: Everything is great. A very cold day today, but we'll get through it. Uh, it's close to zero wind chill. So very cold day here.

 

Carol: Ah, it's like you guys are in Minnesota...

 

John: Yeah, I think so.

 

Carol:  Joining Jeff and I...

 

John: I think so.

 

Carol: Yeah. We were three below today. It was fabulous. Well I'm super excited about our topic. So artificial intelligence, although it's really not a new concept, it's gained significant attention in the recent years and the field of AI research was officially established during a workshop at Dartmouth College in 1956, where researchers optimistically predicted that human level intelligence machines would be achieved within a generation. However, it became clear the challenge was really greater than anticipated. But today, you know, we have AI everywhere seamlessly integrated into our life. You know, we've got Siri and Alexa. I rely on them all the time to your biometric scanning at the airports and the list goes on. And I had the good fortune to find out that Massachusetts is really standing out as a state that has embraced the broad implementation of AI and incorporating it extensively across various aspects of daily life and governance. So I want to dig in and learn some more from you guys. So I'd like to start out because our listeners like to get a little insight into all of you. If you could tell us about yourself and your role. And for our my two friends from the Blind agency a little bit. How you got into VR? And Lola, I'm going to start with you first.

 

Lola: Thank you, Carol. So a little bit about myself, as you mentioned, Lola Akinlapa, I am Director of Strategic Initiatives at now, formerly what used to be the Mass Rehab Commission and now known as MassAbility. I came into the agency back in 2014. I actually started in research and development, doing a lot of the analytic work. I actually was voluntold, I would say, to assist in a new project that we were implementing. It was a statewide case management system for our different divisions at MassAbility. Through that process, I was able to kind of take a step back to say, well, what do we need at this agency to push us toward the future?

 

Carol: Yeah, Lola, it is great being voluntold, because that leads to some of the best things when you're working on different things. So, Nate, how about you? How did you land at Mass Commission for the Blind?

 

Nate: I landed at MCB about eight years ago. At this point. I've been a manager within state government for many years and ended up at MCB. Hopefully this is where I'll be staying for many more years. I really like the mission of MCB and the work that we do as an agency to provide services to residents of Massachusetts.

 

Carol: Good stuff, good stuff. And John, you've switched roles, so I've known you for a while. But tell our listeners a little bit about yourself.

 

John: All right. Carol, I've been with the agency for, wow, 37 years.

 

Carol: Oh my gosh.

 

John: And started out in services and worked with the senior staff, senior consumers, and was in vocational rehab for a while, worked as director of staff development and training for a while. I headed up the assistive technology program for a while. I was deputy commissioner for something like 12 years, oversaw the programs, and I've been commissioner now for a year and a half.

 

Carol: Good for you. Well, sure good to see you again. So in the fall, I had the had the chance to attend an AI convening with Tony Wolf, who is the MassAbility Commissioner. And Tony was mentioning she kept talking about all these really cool things happening in Massachusetts. And I just I needed to learn more. So now, Lola, like, how is MassAbility moving in this AI space? And I know you're doing some things that are helping the consumer experience be quicker and easier. What's that look like?

 

Lola: Oh my God. It's been quite a journey to say the least. At our agency, we as many other agencies identified bottlenecks, identified issues with maybe the bureaucratic side of things where it takes longer to get someone from point A to point B. It was through, actually, our centralized intake unit where we discovered there's area for improvement here. And that area of improvement could be resolved through an assisted intake form. So at MassAbility, we're developing an AI assisted intake platform that's meant to support our staff at MassAbility, who are doing the intakes to allow them to have more leeway on doing what's more important to the work, which is getting our folks to the services they need. Through this intake form, we're actually removing the repetitive task. We're looking at some speech to text technology and then also some guided workflows. And we're also able to get multilingual support. And through the intake, it's meant to guide a lot of our consumers to feel a little bit more empowered to get from I'm stuck here, how do I get services that I need, whether I'm going to work or looking to live or transition into the community, instead of waiting months before someone can speak to you to get you through the process.

 

In this platform, we're actually able to allow our staff to have more time to be dedicated to more personalized interactions with our clients. So it's been a journey to kind of develop what that roadmap looks like. But we are super excited about this. We actually will be going live early this year through our MassAbility site, through our consumer portal, where it will be housed, and individuals will be able to go in, log in and fill out the form, and the form would guide them through the entire process without human interaction. And for us, I think it's really important to take a step back and really understand the purpose of this. Right. It's not to remove the individual from their work, right. It's to make some processes a little bit more streamlined, but then have our staff, our counselors, our case managers be able to focus on more of the human interaction. It's been quite a journey for us, to say the least.

 

Carol: So, Lola, are you working on that with your own state IT folk or who kind of is helping you mastermind all this?

 

Lola: So this is in collaboration with our IT folks at Executive Office of Technology. Also, we're working with a contractor who's been helping us build this platform out. They've been super great. It's been a very collaborative effort across the board. I would even have to throw in Microsoft because there's some work that they're assisting us doing, and it's been a team effort to get it to where it is today. And we're actually very proud of what we've done in such a short period of time.

 

Carol: Very cool, I like it. I know Lola, you had talked to me too, you were interested in doing something kind of in this data realm because I know data isn't cool always. But you were trying to do some stuff with Tableau and AI. So what does that look like?

 

Lola: Tableau. For folks that don't know, it's a visual data tool that we've been using at MassAbility for a little bit over four years now. The really cool thing about technology is as the years go on, the tools get better. Tableau was another way that we were using to kind of drive our data decision making at the agency. You know, things that are really core to the MassAbility beliefs in our missions. With Tableau, we're able to have a chatbot, and the chatbot would be utilized something similar like ChatGPT, where you could say, show me how many individuals are getting X services, or show me how many individuals are served in certain parts of the region. Right?

 

Carol: Yeah.

 

Lola: very cool things like that where you don't have to be a data analyst or a data science...

 

Carol: right.

 

Lola: to use Tableau. It kind of makes it more user friendly and at your fingertips. I think of it like on demand data. So that's something that we've been looking at that is in collaboration with an initiative that we have over at Northeastern. And we've submitted a proposal for that. So we haven't started, but we're looking forward to some of the cool and innovative things, because I think many state agencies will agree. Data is really, really interesting to look at, especially when you're looking to tell a story, when you're looking to improve just the overall outcomes of your agency, depending on what you're looking to achieve. So it's really been something great that we're looking forward to getting started. And then also on the back end, kind of showing and empowering our own staff as to what this data means, right? Because not everyone is a data scientist. Not everyone enjoys. It's a very dry subject, but I think this is a way to keep folks engaged in terms of what's really going on at the agency, and it kind of tells a story without having to truly understand the data to tell the story.

 

Carol: I love that. I think you'll find if you guys can make that all happen, there's going to be a lot of folks across the country that are going to be super interested in that piece because data has been so critical, especially as WIOA passed, and we're looking at so much more of the data and what really is happening for individuals with disabilities and getting into employment. And so I feel like sometimes we're data rich, but we're analysis poor. And people are like, I don't know what all this means. You get a little bit overwhelmed by the data. So I think that would be great for people to be able to do the old ChatGPT kind of thing and just ask a question and get the answer.

 

Lola: Absolutely.

 

Carol: I love that, that's very cool. So when you look at AI, there really has been considerable impact, too, for individuals who are blind and visually impaired. And Nathan and John, I mean, what are you guys seeing with the customers you serve? Just in general, when you think about AI and the work you're doing now?

 

John: Well, obviously in the assistive technology field, there's always been a lot of talk about incorporating AI to serve consumers. And over the past 4 or 5 years, many of the wearables have become very popular. And every year when you see these items, they get better and better. And that's benefiting a lot of our consumers tremendously. I'm sure that you've all heard about the meta glasses. Tremendous assistance for our consumers. You put on this pair of glasses, you can take pictures of the environment you're walking through. You can use it with description services such as Aira and Be My Eyes. And it works great for someone who doesn't know the area. For someone who's trying to do some work and needs to access print immediately, a great way to do this. Many other things are coming down the pipeline, but we were looking for items that might be helpful to our staff. As many of our veteran counselors move on to retirement, it became imperative that we find a way that the newer counselors could find access to information quickly. We do the trainings the usual way, but that takes quite a bit of time. And if you have questions and you want answers right away, we were looking for a solution and we came across this solution in Outlook Insight. I read about it somewhere, I called them, I spoke to an individual at the company and we agreed that we would meet at the NCSAB Conference. And I turned them on to Nate and his policy team. And he can give you more of the story about that journey going forward here.

 

Carol: So what do you know, Nate?

 

Nate: Thanks, John.

 

Carol: John is the idea guy and he's like, Nate, go do the thing.

 

Nate: And it works out great. So what we did was we connected with Outlook Insight, and we wanted a tool that would allow kind of a quick reference lookup for our case managers. So it could be that they have questions themselves and the policy or procedures. And making sure a case is executed properly or consumer may have a question and they want a quick reference for that. So what we did with Outlook Insight is develop a tool that takes all of our internal policies and all of the other policies that govern us, and kind of housed it all in one place and very similar to ChatGPT or some of these other AIs out there. You can ask it a question and it will provide a response. And when it provides a response, we have the ability to really take a look at where it's coming from. So it will include all the resources that it's pulling from with the response. So it will cite the documentation. So it might be some direction from RSA or some of our internal policies or another piece of policy that is out there, another piece of guidance that is out there. And it will cite that particular piece of policy where it's coming from. You can click on it. When you click on it, it will bring that policy up and you can read further, but it will also provide that response. So if you ask it what form is needed at this step of a case procedure, it will bring up what form is needed. Bring up the form and you can go from there.

 

Carol: Nice. So where are you at in the process with this rolling out?

 

Nate: We have rolled it out to some staff. It's not officially rolled out yet as an agency. It's something we're still testing. But we did roll it out to some staff to test to really kind of understand what they're using it for. Another piece of it is we're allowed to add tiles to this particular system. We can create these buttons or tiles above the search bar that will have preloaded questions. So say a consumer is going to college and we you know we might have a button that has the question on it. What is college reimbursement for a student at MCB. You can click on that and we'll bring up all the information about what's appropriate for college reimbursement, how much that college investment can be, so on and so forth. We wanted to get an idea of what people were asking it. We wanted to get an idea of what they're using it for, so we can kind of load in those different tiles on the top as well. And as we go through certain cycles in case management, those will change over the year, in the future when we do roll this out. And we also just were curious on what people were looking up for quick reference. And people are using it. It is a very good tool. It's been helpful for us in the policy unit. We're not getting as many questions for people that are using it, because they're going to that first to see if they can look up the policies on their own and get a response on their own. We do caution people though, because it is AI, so sometimes it does not provide the full picture. I guess is the best way to put it. It might give a partial answer. We haven't seen where it's giving any wrong answers yet, but sometimes it doesn't fill in the whole picture. So that's why we include the policies with the response, because people can go in and search further within that policy if they need to formulate a decision a little bit better.

 

Carol: Yeah, you bring up a really good point. You always have to trust but verify, even ChatGPT you throw something in there. And I use it a lot because it's super helpful and it'll be going along. It's really great. It gives this response and then you have some kind of wacky line comes in there and you go, I don't really know where that came from, but that isn't right. So you can't just turn it all over to the bot. You still have to use your own kind of critical thinking skills and take a look to apply it.

 

Nate: For sure. The advantage that we have, as opposed to like an open source AI, is we control what goes in and out of where it's pulling from. So we're the ones putting the policies in. Or as Lola had mentioned before, if you want statistics or something like that, you can put it in a document with certain statistics and it can pull from that. But we control everything in there. So it's not pulling from this open source where it might recognize something as helpful, but it really isn't. It's everything in there. We've kind of vetted and we understand it's something that is needed by the agency.

 

Lola: Absolutely. And just to Nathan's point, open source, we're talking about like Google, you know, you can get millions of results back and very true at MassAibility. Similarly, we obviously have regulations that we're following with RSA. And there are things that we have to control just to make sure the language is correct. So we're putting in what needs to be said at the bot kind of just follows that logic. So that's kind of the nice thing where you can still have that control, even if it is kind of AI, but it's still guarded. It's not as loose as just an open source would be.

 

Carol: Yeah, absolutely. It's a great point, Lola. And I know for the both of you, you know you're doing things that are impacting the staff. So staff can definitely have a reaction to this. Sometimes positive, sometimes not. Like we're all super excited. I see your smiling faces like, yay, we're doing the thing. And then they're like, you know, people feel like back what I was saying in the beginning, like, we're going to replace everybody with robots or something. And so staff can get concerned. So I'm going to kick this to you first, Lola, what's been kind of the response from staff about the things that you guys are trying to do?

 

Lola: Well, I'm very fortunate to work at an agency where folks are very open minded. Change is a little different, but we're very open minded at MassAbility. I think it's all about the messaging and the purpose on why we're doing certain things right. For sure. There are people that are going to have, you know, pros and cons about it, but I think how we message it is we're not looking to reduce workforce...

 

Carol: right.

 

Lola: We're not looking to reduce your day to day operations, right? We're looking to streamline and to make the consumer's Consumers journey at MassAbility more accessible to them. The option that we have right now and how we've messaged it to staff is it's an option, right? We're not removing the human aspect of it, but it's an option for individuals who are in certain circumstances that need to get something done a little bit faster, right? It takes a little bit longer to talk to individuals, but if it's something that they feel like, you know, I'm just going in and I'm looking for a job, I know everything I need to have. This is another outlet that they can use where the system itself is like, I'm not a person, but I can guide you like an individual, right? At the end of it, you will be meeting with a person. You will have that personalized experience, that interaction, but mostly for the admin and the data entry, right? We can repurpose that. We can shift that burden to some of the tools that we have available to us, like the AI assisted intake form. So that's really the messaging behind it, right? The messaging is not to impact staff. It's not to scare staff.

 

Carol: Right.

 

Lola: But it's more to help think of allowing people to have different options to come into the agency that aren't so impactful or don't feel like a bottleneck.

 

Carol: Yeah, I love that. I love that point. How about you guys, Nate or John? Have you seen any initial responses from staff, maybe different than you thought or how has it been going?

 

Nate: I think for us it's a little bit different too, because we're providing human services, so we're not replacing that in any way with an AI tool. We're not going to be replacing us, going out and sitting with a consumer and meeting them where they're at and providing the services that they need to be successful. What we're doing is really just enhancing and, like Lola said, streamlining the process to better understand and strengthen their policy knowledge to make their jobs a little bit easier. We haven't really explored any type of AI that would help with case management work or anything like that, and it's really tough because like I said, in the human service field and in Lola can probably also agree with this. Every consumer is so different. We're meeting with them a lot of times in person, especially at our agency, and providing the services that they need. A lot of it's hands on services, something that we're not going to be able to do with AI. What we're really looking at is how do we enhance their ability to provide and streamline services and make the experience better for the consumers and for our workers. And that's what we've done with this first policy tool. And I think it's been successful. I don't know if you have anything to add there, John.

 

John: Yeah, we're supporting the staff at this point. So it's not that we're trying to take staff out of the process. We're making it easier for you to do your job and for you to answer questions that you may have about the process of moving the client through the system, or even questions that a consumer may ask you, and you can explain to them. And if you're missing any of that data, you can pull it up on your laptop. And that tool is always with you. You can ask it at that point, or you can refer to other resources we have on that machine. So you could certainly help them get the information they need faster and help yourself process the information they've given you faster.

 

Carol: Well, having done technical assistance for years with state agencies, and I see the hundreds of pages in all your policy manuals and all this craziness, I'm sure staff will greatly appreciate anything that streamlines some of that work that they have to do, and all the things they have to retain. And you've got your policy and your procedure and your desk and your 14 other directions. It's a lot. I mean, it's a lot to keep track of, as well as just paying attention to the individual that's sitting before you. And so I think anything you can do to streamline that is great. I'm wondering if you all have other ideas. I know Lola, when I talked to you before, you are full of lots of thoughts. Do you have any next steps for accessibility that you're thinking about?

 

Lola: I have a couple of next steps right now. I have to rein myself in. We're for sure right now really focused on getting our automated intake form out. We're at the tail end of testing and everything has been looking great on the up and up. So we've been really trying to get our messaging around what that looks like, especially to our constituents that are looking for services. So folks just understand the purpose, the why and how we're trying to make this a little bit better. I'm hoping eventually one day I can take this to phase two where the eligibility pieces may come into play, but we're not there yet. Right. We're taking baby steps.

 

Carol: Yeah.

 

Lola: I'm really excited we've gotten this far. I know Nathan and I have had conversations a few months back about looking at something similar to what they're doing with the policy, because we have our own policies, right, that are kind of everywhere. They need to be updated and staff need to reference them or individuals are looking for them. So I think definitely what MCB has been doing has been in the back of our minds a little bit. But like we said, we're taking baby steps and hopefully we can get there. But I think across the board, these are all great initiatives.

 

Carol: Yeah, absolutely. How about you Nate and John are you guys looking at, you thinking a 2.0 on anything or some other areas you'd like to dabble in with AI?

 

Nate: I think it's rolling this out first and kind of once we get this completely rolled out to staff and kind of understand how well it's working, I think we can take those next steps. We're always keeping our finger on the pulse of technology and how it's advancing, and if it can assist us in any way, and we'll continue to do that. I think an interesting, it kind of fits in with AI is, you know, one of the biggest barriers for our consumers is transportation. And as far as AI goes, one of the big conversations in that community is automated cars and those type of things. And we have in the past provided some input about automation. And when they're creating those type of things for transportation, how to think about how it would benefit people with disabilities and those type of things. It's a long way off, but it's something interesting and something I personally get asked about a lot when I'm out speaking in different areas is, where is that? You know how close that is?

 

Carol: Yeah.

 

Nate: That's nothing we'll ever do as an agency. We're never going to be providing, you know, services. But we have provided some just some input in the past on that. But as far as like case management and service to consumers and those type of things, like Lola says, eligibility is something that's very interesting. If there's something that can help with that, it's for different programs within our agency. You know, when you're coming to MCB, we're a little bit different than MassAbility. By law, you have to be registered with us if you reach the threshold of legal blindness in Massachusetts. So you're registered with us. It's the law. But depending on what services you're receiving and what programs you're in and those type of things and maybe something interesting to look at in the future.

 

Carol: Yeah, definitely. Blind agencies have a lot of moving parts and pieces. So how about any advice you all might have for states that are starting to think about this? Because states are in all different, you know, places and people are kind of, their administrations. Some are very proactive, some are not. Do you have any advice, as you've been working through these projects that might help other people that are starting to dabble? Lola, I'll kick that to you first.

 

Lola: Yeah, I think that's all dependent just on where you are as a state agency, right? It's taken us a while to come to the realization, like, maybe there's something more we can do to kind of help the process that we're in. And it just so happened some of the things that we've identified as pain points, it looks like AI and technology would really help alleviate. And I'm not going to say remove because we're always going to have issues, but it would help alleviate some of those pain points. I think one of the things that would be insightful for folks to know, and just because the disability community loves the community, it's just when it comes to technology, we have to be very careful, right? We need to be mindful of some of the biases that come along with that. We need to make sure that the accessibility is actually accessible. It's usable, right? To Nathan's point, we serve various consumers ranging from different types of disability. And I think sometimes that gets lost in the conversation because we're so much let's get it to the next level and let's make it work for us and automate it. And I think we forget to take a step back and remember who we're doing it for, right? We're doing it for the folks that maybe don't have mobility, the folks that can't always read or have low vision, or the deaf or hard of hearing individuals. We really try to make this form all about the people. So I think as agencies are probably trying to embark on technology, those are some of the things that they might want to keep in mind. And it depends just where you are in the process. Just it was great timing for us, and I'm sure Nathan would agree. It was probably great timing for his agency to start some of the discovery process around how we can utilize AI.

 

Carol: Good advice. John, do you have anything you want to add?

 

John: Yeah. When you're going down this road, be prepared that you understand the process that your state has, because there's many other departments that come in and want to take a look at what you're doing and ask for a lot of different documentation. And so that all has to be done before any product can be deployed. And depending how bureaucratic the state is, it can be different. A large state might have a whole bunch of departments Moving in and wanting to take a look in a smaller state may not be as complicated or as cumbersome process as it can be. So just be aware. Once you understand the idea and you think of a potential product, make sure that you've understood all the steps you have to do at the state level to be able to deploy that product and not have it pulled when you're halfway through, or you've spent money on development so that it gets scrapped in the development stage. So just be very aware of how to get that process through the state.

 

Carol: Yeah, that's  very good advice. Nate you get the last word on this.

 

Nate: Patience. For a lot of reasons and pointing at both what Lola and Commissioner Olivera talked about here. You got to have patience to go through the process. But you also have to have patience to make sure that it is accessible. Here at MCB, we obviously have a myriad of different folks using it and with different abilities and ways that they approach the system. We got to make sure it works for all those different ways. And that wasn't easy either, but more so for the process. It's a long process. We're still in the middle of that process, but it's worth it. I do want to say that have the patience, but it is definitely worth it. AI is extraordinarily able to just provide a way to save time. You know, a question that may come up to us where we research a question, decide on what the answer is, reach back out to a worker, give them the answer and they go to a consumer. Give them the answer. It could be days. This is seconds. The time that it saves. And maybe even if you, depending on how it's deployed, the cost it could save in the long run. It's extraordinary and worth the time put in.

 

Carol: I love that you would mention that. There used to be something that I compared every year that came out from RSA, and I'd compare to the previous year, and so I'd always look at, you know, I'd do this side by side, kind of mark up what all change, what language changed. And it used to take me hours, you know, just to look through the document. Now I send it through a tool and literally in a minute it highlights everything that changed from one year to the next. I'm like, boom, done. You have it. People always are asking us questions as a TA provider, and I'm like able to immediately tell them what change they're like. How'd you do that analysis so fast? Well, I used my friend, you know, an AI tool that was able to do it. It really is an amazing Time saver. So how can our listeners find you guys? Could you leave us with like, an email address or something? Lola, would you mind saying your email address for the listeners in case somebody wants to reach out to what you're doing there?

 

Lola: Yeah, absolutely. I can be reached at Oluwafunke.Akinlapa@mass.gov. The spelling is o l u w a f u n k e dot a k I n l a p a at mass.gov.

 

Carol: Oh that's great. And then Nate or  John, do you both want to give your email or who's the contact there.

 

Nate: It's Nathan.w. Skrocki@mass.gov and I'll spell that out. It's n a t h a n dot w dot s k r o c k I at mass.gov.

 

Carol: Oh, that is awesome you guys! I really am looking forward to seeing your stuff roll out. You need to give me an update. I am super happy about this. In fact, we were having an AI conversation the other day on our GW team and I said, hey, I'm doing a podcast this week and they're like, you got to give us the names of the people, because some folks are working on something, they like, they're gathering up information from across the country. So I said I'd be happy to share. So thanks so much. And please do keep in touch. I wish you the very best with your projects.

 

Lola: Awesome. Thank you Carol.

 

John: Thank you Carol.

 

Nate: Thanks.

 

{Music}

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