Behind the Build: Greater Phoenix Economic Council’s AI Chatbot
Unknown Speaker 0:03
Hello everyone, and welcome to the botco ai webinar series. We’re so happy to have you all here today, and I’m incredibly pleased with the lineup we have for you today. Jessica Daly is joining us from greater Phoenix economic council. So we’ll give everybody just a minute here to join I know we’re all rush rushing from our previous calls and meetings, and
Unknown Speaker 0:31
so I’ll give folks just a moment here to join us and tell you a little bit about who we are at Baco AI, because I know that sometimes people see our webinars. They join because of the topic, but they haven’t necessarily heard of us before. My name is Rebecca Clyde. I’m the co founder and CEO here at botco AI, and as our name would suggest, we’re an AI software company that partners with great organizations such as G pack to deliver AI enabled chat bots that interact with their customers and key stakeholders, and what really sets our product apart is the fact that we have created fine tuned models that are specifically designed around the data sets that our customers provide in a non hallucinating fashion. And we can talk a little bit about what that means in the webinar here today, we are driving high levels of accuracy in our conversational interactions that we’re supporting we are able to integrate with key systems of record, and we’ll talk about that as well today, such as Salesforce or Marketo or other products that you might have within your organization where customer data might be
Unknown Speaker 1:39
residing and more importantly, for a lot of our customers that are in regulated industries, we really take that seriously. We’re HIPAA compliant platform. We’re SOC two compliant we go to great lengths to protect the data of every single interaction, especially because in some cases, we might be handling some of your customer data. So that’s something that we take very seriously now, as folks are joining us, I’d love Jessica, for you to be able to give everybody a quick introduction to yourself who you are, and then if you could also tell us a bit more about your role at greater Phoenix economic council. And also, what are some of the great things that GPEC, as it’s commonly known as is up to these days. Yeah, I would love to thank you, Rebecca, yeah, so happy to be here. So excited to talk about our experience with this tool and with botco. And so I’ll give you a little bit of information about me. So I’m the Director of Digital Marketing at G Peck. I’ve been with G pack for a little over seven years, and my main areas of expertise within G pack really include website, digital ads, lead generation and newsletter. And so there’s a lot of different areas within marketing that I have my hands in, but it really is a robust team where we we all wear a lot of hats. And so a little bit of background about G pack as well. So G pack is a non profit organization, and our mission is to grow quality businesses here, grow and attract businesses here in Greater Phoenix market, as well as advocate for the competitiveness of Greater Phoenix. And the way that we do that is we work with 22 member communities, and that also includes Maricopa County and Pinal County and more than 200 private investors. And just to kind of give some statistics, because G pack is a very data driven company. So statistics behind our work is that since you know our inception, we’ve helped over 1000 companies relocate to the market. We’ve created almost nearly 190,000
Unknown Speaker 3:55
jobs, and have brought more than $69 billion in capital investment to Greater Phoenix. And besides, you know, the bread and butter of our work, which is, you know, business attraction. We also, you know, advocate for Greater Phoenix as a whole, as a market. And really want to amplify to the nation and to the world, really the great things that are going on here in Greater Phoenix. And so one initiative that we’re spearheading currently, right now, is called the most decorated region, and this initiative is really focusing on the incredible arts and culture that we have here in Greater Phoenix, and amplifying that message and really showcasing to the world that not only is Greater Phoenix a place where businesses can thrive, but people can as well. And so that’s just a little, you know, overview of G pack and some of the initiatives that we’ve got going on.
Unknown Speaker 4:54
Yes, thank you, Jessica. I really appreciate that overview for people who are joining us here today, and I.
Unknown Speaker 5:00
I have to say, I definitely drank the Kool Aid. I relocated to the Phoenix area when I was just finishing college. I got a job at Intel, so part of the business attraction efforts of G Peck are what ended up having me move here, and I ended up loving it again, because of all the beauty that we really have around us. It’s a very livable community, as well as a great place to start businesses. So I had my career Intel, and then I started my first company, and now my second company here. So you can say that I’m a customer of yours as well,
Unknown Speaker 5:35
in the sense that I believed the story, and not only was it a great story, but I have lived it, and can attest to how awesome it’s been to build my own life here and my businesses here. So great job. G Peck for doing that and making this
Unknown Speaker 5:53
awesome place for talent, great talent to move here and to for people who want to create thriving businesses to come to Arizona, and 69 billion in attraction. Capital attracted to the valley is to the greater Phoenix area, is certainly no small number. So congratulations to you and the team and everybody who’s working hard over at GPAC these days.
Unknown Speaker 6:17
Well, thank you for joining us today, because there’s a lot we want to cover. One of the things I love about our community here is the willingness that I see in adopting modern technology. I mean, you can see with TSMC coming here, and all of the other innovations that go on here, from a biotech standpoint, from an autonomous vehicle standpoint, Greater Phoenix is really leading the way, and you guys are doing it on the AI front, and that’s really what brought our partnership together. So I’d love if you could just spend a few moments Jessica and share with our attendees here today. You know, what is the backstory behind the GPX journey into adopting AI what were some of the challenges and opportunities you were really seeing that led you down the path of really wanting to consider adopting AI as part of your strategy at G Peck, yes, that’s a great question. So G pack is, like I said before, it’s a very data driven company, and you know, we really pride ourselves in that, in providing accurate responses to people. And so our move towards AI, you know, we really want to be at the forefront. We want to show people that we’re ready to jump in to innovation, and we’re ready to accept that and like embrace it and see how we could apply it to our own work, and so AI made the most logical sense for us, like the next step for us to take, in this sense, to really see how we could utilize this innovation that’s coming out right now and make it so that we can amplify our work within G pack as well.
Unknown Speaker 8:02
Mm, was there another, another question? I’m so sorry.
Unknown Speaker 8:09
No, thank you. Those are, those are really good ones. I think in your some of our conversations, you talked a little bit about the organization as a whole, getting a lot of having a lot of volume, right? There’s been a lot of activity to attract business to Arizona. People are reading about Greater Phoenix in the, you know, international news. And so it sounds like your site was getting a lot of traffic as well with inquiries coming in.
Unknown Speaker 8:35
And so, you know, being able to answer those questions accurately and in a timely fashion, I would imagine would have been important. Oh, definitely. I mean, G pack, we get around, you know, over 7000 users to our website daily. And so, you know, in order to really serve those people with the information that they need, it’s a big challenge. You know, being in economic development, it’s a lot of heavy data, and it’s a lot of things that you know are really hard to digest. And so
Unknown Speaker 9:11
one of the challenges for us was, how do we take these very complex ideas, say, you know, the ecosystem of semiconductors here in Greater Phoenix, and how do we distill it down to really digestible information, so that the user gets exactly what they’re looking for without kind of burdening them with like web page after web page of information. And so that was really one of the challenges
Unknown Speaker 9:40
that we were facing as an organization. And one of the ways that botco was able to come in and really help us address those challenges was, you know, providing those timely, like, up to date information when the user needs it exactly what they need, instead of, you know, you.
Unknown Speaker 10:00
Having them go through a long, arduous journey through our website, because, you know, as a marketer, I know that that’s only going to increase attrition, and so this was a really great intersection of both of those, yeah, and I know, even as a consumer, it’s like, I want to do some research on my own, but I don’t always want to read a 200 page report, right? I’m going to try, I’m looking at the report, to find some specific data points. But wouldn’t it be great if I could just ask for those data points? Right? So let’s talk a little bit about AI chat in itself. So what was the capability from a chat standpoint that you landed on and tell us a little bit about this chat bot that you
Unknown Speaker 10:43
developed and deployed at G pack,
Unknown Speaker 10:47
yeah, so actually, even taking a step backward, you know, we did implement a chat bot on our website before botco, but it was nowhere near the level that botco could execute on,
Unknown Speaker 11:03
it was a lot more of like prescribed question answer, instead of smart learning that botco can do,
Unknown Speaker 11:13
and smart, you know, looking for the sources and looking at the website and the content and really distilling that information. And it also created a burden on employees as well, that if someone were to come to our website and ask a question related to research, then we needed somebody at research there to help us answer that question live. And so it was all very manual. It was it took a lot of time from us. And so, you know, moving on to AI was really the smartest choice for us, because then it freed up a lot more time for, you know, our employees. It allowed us to also, you know, reach and match the users needs. And so really, in in looking at that, we needed a way for this chat bot to distill data rich information
Unknown Speaker 12:07
to you know, what the user is needing and what they’re expecting.
Unknown Speaker 12:12
Yeah, that’s fantastic. And I love that you were already thinking ahead like what is as we continue to grow, because really, you’re only expanding, right? If you were already overburdened with the not autonomous option, how much more would that be as you continue to drive traffic and as people continue to hear about the great opportunities in the Phoenix metro area, right? So why don’t you walk us through this chat bot so everybody can see it and we can understand what it’s what its capabilities are, yeah, absolutely and so this right here is just a look at our chat bot right here. Over in the corner, you can see there’s a couple of these blue buttons that really help guide people through user journey. I wanted to do both. I wanted to be able to provide a way for people to, you know, open answer ended questions, like, ask whatever question you want, but then also kind of give them some guidance. Of like, here are some of the most popular things that people ask, and within each of these buttons are kind of like sub journeys that they will take the user through in order to kind of guide them to what information they’re trying to find. And so I think you went to the next slide, which I think will give a good example of
Unknown Speaker 13:26
how it operates, and how it functions, and what it looks like. And so it was really important for us to be able to have a tool that could reach multiple audiences. Because G pack operates, you know, we attract businesses, so there’s that external audience too, but because we’re a nonprofit, we also have a lot of stakeholders that we need to keep informed about what’s happening at GPAC and what’s happening in the Greater Phoenix market as a whole, so that they can amplify the same message that we are All rallying behind. And so being able to like,
Unknown Speaker 14:01
customized with those buttons and those different user flows. It really helped us reach both of the audiences at the same time. And this is a really great like, flow through, like, great example of industries autonomous and electric vehicles is a very like, you know, data heavy industry, like much other ones, and so it does a really great job at distilling that information. Yeah, and I’m letting people read the answers, since it’s such a good
Unknown Speaker 14:31
I would say advertisement for GPEC as well, and for the fiendish metro area. And here, you know you are seeing some options if people choose to navigate through the buttons, but we know that a lot of people actually prefer to just type their questions. So the nice thing is that the chat bot really gives people the option of doing both, like they can either go through the user journey, or they can just bypass it and just ask whatever question they would like talk to us about kind of how you thought about personalization.
Unknown Speaker 15:00
Uh, within the chat bot,
Unknown Speaker 15:02
yeah. So I, you know, I had already spoken a little bit about, like, the two different audiences that we’re really trying to reach, which is, like the external versus internal audiences. And so when we looked at personalization, we really tried to look at, like, what are some of the key groups of content information that people are going to the most. And that could be something like in the example, where you see where it’s like a semiconductor industry or AV EV industry, but oftentimes that might be people looking for information about JPEG events, or, like, what is the latest report that has come from G pack? And so being able to, like, have the chat bot scan that, pull it in and pull up the most recent, you know, information is a really great way for us to, like, get what the user exactly needs. You know, it’s exactly what they’re looking for.
Unknown Speaker 16:04
Yeah, absolutely. And, you know, I just love the the notion that even within the chat bot, you have the ability to segment audiences, to create, you know, if you do an integration with your CRM, you can even personalize that, like sending people from your newsletter who are clicking on the chat bot giving them that interactive experience so that you’re really livening up the capability of those conversations with your stakeholders. Can you talk to us a little bit about dynamic content sourcing what? What is it and what role did it play in the development of your chat bot?
Unknown Speaker 16:40
Yeah, yeah, that’s a great question too, because there’s a lot of information that we produce, either on our website or, you know, through white papers.
Unknown Speaker 16:52
And so we knew that, because we are so data driven, that we need a way for people to
Unknown Speaker 16:59
look at that data afterwards, and to be able to verify that themselves, or to dive deeper into more information that they could gather. And so by having dynamic buttons to be able to really like, what is the source? Where is this coming from? Let me go back to it. Let me look at the research that was actually a really key part of the chat bot, because we don’t want to just provide an inform, you know, the information that they need, and then stop it there. We really wanted to continue that user journey. And so with the source there, and having it be dynamic, so that you know whatever they’re asking for, we can direct them to where they need to go. It was really important for G pack to really, like, implement that.
Unknown Speaker 17:46
Yeah, I remember. And the awesome thing is that as your sources change or get updated, those dynamic content sources also get updated, which I know is a big challenge. You know, I was going, I went to this AI meet up once, and everybody was like, Hey, we figured out how to train chat bots on static content, but we fall apart when we’re trying to do dynamic content. And that’s where a lot of projects kind of run into
Unknown Speaker 18:10
a, I guess, a big roadblock. And so that’s something that as you know, anybody here who’s on the webinar with us today is evaluating solutions. You know, think about the fact that you’re really never operating in a static environment. There’s so much content changing every single day that that has to be considered, usually in making a decision. And that was another important aspect for GPAC too, was, you know, consistency across what the website is saying what the chat bot is telling them. And, you know, we always keep our our website up to date with whenever the latest reports come out, then we’ll update our website. And so being able to have something that could really, you know, scan the website, learn from the most up to date recent information, it was critical for us because it would not be possible other otherwise, you know,
Unknown Speaker 19:08
fantastic. Thank you. And tell us a little bit about these scheduled web crawls that are going on so with the content. And you know, again, on this topic of dynamic content updates, how does that work? Exactly, yeah. So we do have, you know, a lot of information on our website, a lot of it related to, you know, the greater Phoenix market.
Unknown Speaker 19:31
And as that changes, we will update our use cases and then update the website accordingly. And so, you know, we rely on website crawls, but then we also upload the PDFs of the white papers or like use cases as well, because that really contains, like, a lot more, like, nitty gritty details, if people really wanted to dive deeper into that. But another aspect.
Unknown Speaker 20:00
That’s important. And why it’s so important that we have these scheduled web crawls is because, you know, we will post new news stories of this locate just recently came to Greater Phoenix. Or here’s an ambassador recap of an event that we had. Like, here’s a recap. And so
Unknown Speaker 20:18
being able to have the ability so, like the chat bot can, if someone’s asking, what is the latest research that’s coming out of it,
Unknown Speaker 20:29
it can pull that exactly. It can look at that date. And it could be like, here is the most up to date information that you need to know
Unknown Speaker 20:38
absolutely and I think we have an example here also more of a dynamic example. So we had all those, those content sources that were there and then here you can actually see an example of how, you know, here’s a free form question, right? When is the next
Unknown Speaker 20:57
Leadership Council? Right? So you would imagine that this is a dynamic question, because when is the next Leadership Council meeting may change from one day to the next, right? It could be tomorrow or it could be next month, depending on what day it is. And so here you can see that we’re very up to date in being able to pull that content from your calendar and present that current information. What are some of the upcoming events? Right? We’re going to show you events that are coming up, not the ones that were last month, right? Like a lot of
Unknown Speaker 21:29
and what I like about the response above, like it was just telling them, you know, what are the upcoming events? What are the upcoming leadership events? You know, it’s not just looking for like, what event titles contain leadership? Like, it’s actually pulling smartly, and it’s looking at like, well, the this is a council and so this is what they mean by leadership event.
Unknown Speaker 21:54
It’s, it really is dynamic in that sense, yeah. And then we can even direct people to the site if they want to see the whole event calendar, right? So, but they don’t have to go digging for the event calendar on your site. They can just ask the chat bot, and it gives it to them and then references that data source. So, you know, and we get a lot of these kinds of questions from people are like, Oh, we’re, we’re a, you know, a municipality, or we’re an economic development agency. And we have events like almost every day. Sometimes I think EPAC has events going on all the time, right so that that information needs to be updated dynamically and automatically. I would say, All right, let’s talk a little bit about testing as well. You know, a lot goes into getting a chat bot ready for go live right before you put something on your website, you always want to make sure it’s working great. And here I’m just showing a quick screenshot for folks within the bot AI platform of you know, a testing environment that we have at test suite so you can actually test your chat bot before putting it on your website. How did you go about testing? Jessica, what was that process like for you so that you could feel confident in getting the chat bot up on your site? Yeah, one of the great things that Baco did was the ability to kind of take our our brand guidelines, and train the bot off of that so that way our brand’s voice was consistent. You know that we know that the answer it’s going to give is the appropriate answer. And so, you know, once we trained it on that and then started testing out different responses, I really relied on my team to provide lots of feedback, especially in their areas of expertise as well, to really try and test everything out. I mean, of course, you can never really anticipate every single question, but you we were able to really refine, like, this is actually a really good response. We just want to guide it in this direction a little bit more. Or, you know, this is an okay response, but we want it to reference this, you know, aspect more. And so it was a really quite easy process. You know, when you think about testing an AI bot, like, I’m I’m a digital marketer, I’m not a data scientist, like, I don’t know how to operate AI tools on the back end, but it was really incredibly easy to just kind of put in the information, see what it spit out, refine that, and then immediately after it’s like, yes, that’s perfect. That’s exactly what we want it to be. And so once we knew that it was in a place where we’re like, the brand voice is good. It’s absolutely accurate, because it’s pulling from all these live sources all the time. It’s constantly up to date. That’s when we were like, Yep, we’re ready to launch. We’re ready to actually disseminate this tool to the users absolutely well. And you can continue to do that as you add new content sources, as maybe you add train it on new topics. That’s an ongoing K.
Unknown Speaker 25:00
Ability within this playground that you would have access to to even continue testing beyond right? And we do have a lot of people that are saying, like, hey, we acquired another organization, so we have an entirely new data set now we have to train on. And so this gives them an environment where they can safely test before going live, and that way they’re not caught surprised that the chat bot gave a certain answer that maybe they weren’t prepared for. And I do want to point out that in this test environment, we get to show, we show we show you as a user, what are the relevant documents that are being sourced to provide that answer, what the relevant score is, what prompts might have been used, and those all things can be adjusted. As you were saying, Jessica, you can make those adjustments on the fly and then immediately see the correction right, the improvement that you wanted along those lines. Let’s also talk a little bit about here. I already kind of jumped the gun here, but about the content and the analysis portion, because one of the benefits of having an AI chat services now you have all this incredible data, and you can see what people are asking about. How are you looking at now that you have this live how are you thinking about using this information and using the data that the chat bot is giving you now back as it’s interacting with your stakeholders? Yeah, yeah. I think that’s also a really excellent question, because just like we said before, like, you know, we could test it. We can try and think of every possible question that people are going to ask through the tool, but you’re always going to be surprised by that. And I think what this chart is saying is it’s kind of, you know, affirming what we know, G pack for our audiences, we have a lot of external companies looking to Greater Phoenix as a market, but then we also have a lot of internal audiences talking about, you know, events and networking, but those other topics that 28%
Unknown Speaker 26:56
that’s an opportunity for us to Really look at those and identify, you know, is there gaps in our content that we’re not answering the questions, or are we answering the questions? But it’s too confusing for them, they’re not getting the correct answer. And so it’s only helped us refine that customer journey more to look at what people are actually talking about take that back to the board and kind of form a strategy around that.
Unknown Speaker 27:27
Fantastic. Thank you. And I do want to encourage our audience participants feel free to submit a question. There’s a Q and A in the chat.
Unknown Speaker 27:35
We’re going to be moving into the question and answer session here shortly, so feel free to think through some of those.
Unknown Speaker 27:43
Yeah, you know, one of the this is an area that we’re always seeking to improve as well. So we’re looking for feedback, Jessica, as you start kind of playing with this, the dashboard and the analytics, right? One of the great things is that you can actually personalize the dashboard based on the metrics that might be important to you. You can set goals within the dashboard. You can set events that triggered. So there’s a lot of really, there’s great insights you can generate, like this one, hey, let’s drill into other topics. Let’s find out where those other topics are coming from. Maybe we should be training the chat bot on new content. Maybe we should be considering a new type of stakeholder we hadn’t considered that’s actually very common. We will often see that most of our customers are building chat bots with their customers in mind, right? They’re thinking, Okay, our customers are going to be using this chat bot, and so all the content is going to be around people who buy from us, or who are already customers and who need support. But then they get really surprised when they see employees start using the chat bot candidates positions at the company. And they’re like, Wait, we did not anticipate that vendors would be talking to the chat bot or other, like you said, stakeholders. And then they realize that that’s an opportunity. Like, hey, maybe HR and recruiting wants to train the bot because they’re realizing that people are asking questions because they’re applying for a position, and they want to better understand, what benefits do you offer? What? What are the great things about working there, things like that. And so we slowly start to notice the chat bot wanting to cover more of these topics, because those are the questions that are coming in.
Unknown Speaker 29:24
Yeah, I totally agree. It is. It is always very surprising. You always think it’s going to go one way, and then you get surprised with insights, which I’m happy about, because that just helps us, you know, improve the customer journey even more. So, yeah, absolutely. And I wanted to ask you before we move into the next
Unknown Speaker 29:45
phase, you know, what is next for into the question and answer, what is next for GPAC? What are the things you’re thinking about as you evolve? You know, you’re kind of in the early days still of implementing your AI solution. What are you thinking of next and where do you want to take this? Jessica.
Unknown Speaker 30:00
Yeah, well, I will say that is actually one of the best things about working with botco and this chat bot tool is that even since, like we launched in October, since launching in October, we have seen incredible engagement with it. And so, you know, nearly 370
Unknown Speaker 30:19
engaged users, 128,000
Unknown Speaker 30:23
views from the on the chat bot. And so what’s next for us? And what I love about botco is that, you know, you guys are always, constantly coming to me with like, we have this, this new feature. We’re working on this new feature. We’re optimizing the tool this way,
Unknown Speaker 30:40
which then only you know, helps my strategy more. And so the ways that GP is looking forward in using this tool is to be able to kind of personalize it a little bit more. So how can we better serve our stakeholders with questions that you know they have quite often about registering for events, or, you know, what are my benefits under this certain level of investors?
Unknown Speaker 31:10
And so really tried to look at like, well, what is the user? Let’s look at the user’s identification, you know, their different data points, and then how can we customize that answer to them. But alternatively, we’re also kind of looking at what are some like, multiple language capabilities that we could do. So how can we serve, you know, audiences? Because we work globally with audiences. And so does that mean, you know, translating it into Mandarin or into Spanish or other languages. And so that’s definitely something that we’re looking forward to in the future, really refining that bill, just like honing it down. And I think that’s going back to before. What makes the tool so valuable, and seeing that feedback is it shows us where to refine. It shows us like this is what people are actually asking for.
Unknown Speaker 32:05
How can we get better at reaching them
Unknown Speaker 32:09
Absolutely and you know, we do have a lot of customers using the chat bot in multiple languages already, so we’re excited to help you with that. And it’s true. Greater Phoenix attracts a very international community of businesses, especially again, with TSMC coming in here and a lot of the battery, there’s a battery plant coming in from right Korea, right with LG. So what ends up happening is that their vendors want to be close to those facilities as well. And so it’s not only attracting that business, but all their ecosystem partners as well. So very international, of course, since we, Mexico is a huge trading partner for us, Spanish would be important.
Unknown Speaker 32:49
So yeah, I can see how the evolution of your chat bot can include more languages, more personalization, deeper integrations into other data sources and things like that. So I’m excited, Jessica. Maybe we can have you back next year, and you can give the part two of this talk today. Great, yeah, all right. Well, we have some questions from the audience, and so I want to get into that here before we run out of time. So if you’ll humor us, Jessica, we have some audience questions, and you kind of touched on this, so maybe they put this in before you touched on it. But they were asking, since you’ve launched the chat bot, what kind of engagement Have you seen with it? Like, what I assume they’re trying to get a sense of, like, how is it helping you with either advancing your goals, lead generation, those kinds of things?
Unknown Speaker 33:41
Yeah, yeah. So we have integrated the chat bot in a way to where, when it gives responses, it really, you know, robs those leads in a way that we’re like, through our through our system, through our website and everything. And so there’s always a CTA there to like, direct people over there. I did a little bit go over about, you know, how many sessions we’ve gotten? There’s sessions. I mean, the sessions are usually from very high intent users. They’re people who are genuinely like researching our region. They’re asking a lot of complex questions. And so it’s been a really effective way for us to absorb that front end load for our team and really just dive into the deeper relationships that you know you build after that. And so hopefully that answers that person’s question. Great, great answer. Thank you, Jessica. Here’s another one, and I think you could touch on it at the beginning, but it’s really about, how does the chat bot help engage different audiences, site selectors, out of state, investors, entrepreneurs,
Unknown Speaker 34:45
yeah. So we really have built different flows depending on different user needs. So you know, there are going to be a lot of external companies that are looking for market data, and so they’re asking a lot more research, heavy questions.
Unknown Speaker 35:00
Those site selectors. Similarly, they will ask a lot more questions about, like real estate or like, what kind of incentives are here, and how do we get in contact with those people? And so it’s great for the chat bot to be able to answer directly, like, this is exactly how you contact us, and we would love to chat with you, and then internally as well. Like we do, have a lot of you know, internal stakeholders, and we want to keep them informed along the way. And so things like events, you know, most likely a person out of state, another company is probably not going to be too our events might not be too pertinent to them at that point. And so being able to answer those questions for those people that it is important to you
Unknown Speaker 35:48
know, have them like, get directed where they need to go?
Unknown Speaker 35:54
Yeah, absolutely. And that’s the great thing is, like, choose your own adventure. Every user gets to get the answers that are pertinent to them, right? It’s not like you have to fit perfectly into one of those categories.
Unknown Speaker 36:06
Okay, another question just came in, how long did it take to implement the chat bot? Can you speak to that? Jessica, that’s a really good question, like I said before, like I’m a marketer, so you know, onboarding an AI chat bot tool feels really overwhelming. And I will say that Baco made it incredibly easy for us to be able to distill down the information, like, what is it that you want it to say? Like, what do you want it to
Unknown Speaker 36:37
put out to like, different answers and everything. And so I would say for us, it did take us,
Unknown Speaker 36:44
you know, a couple of weeks to really kind of refine which content we wanted to train it on. Because part of that, you know, it scans the website, and so that’s always up to date. But also part of that is identifying, like, which websites we don’t want it to scan. Like, what are some like, private websites that were like, maybe we don’t need this information, or maybe this is, like, outdated, and so we need to nix that. And then it took a couple of weeks of us to just kind of, you know, test it internally to make sure, like, Yep, this is operating as it should. And then once it’s implemented, like, it was really just a tiny switch of like, yep, turn it on, and then it is live. And so it was a pretty easy process, given that I’m a digital marketer and that, you know, I’m it was a new territory for me, but it was great. Yeah, absolutely. And you brought up a really good point here before we get into the takeaways, where really understanding what you don’t want the chat bot to say is also very important, just as much as it is to say what we do want it to say, and that I’m glad that you you remember that key point during the process of setting up the content sources, because that is an AI will always perform better if you give it really clear guardrails, what you do want it to do and what you don’t want it to do. It’s kind of like, you know, I always say a toddler, right? My own three year old, or something like that, you they don’t know otherwise. So you have to be very clear.
Unknown Speaker 38:21
Yeah, and I would say that it’s very easy to get overwhelmed when thinking about onboarding a tool like this, because there are so many great capabilities that botco has. And so, you know, you want to build it to be like the best tool in the world. And so really,
Unknown Speaker 38:41
for us, just being like, you know what we are going to just, like, get it up and running. And Baco was really great at helping us, guide us through those steps of like, this is what it’s going to take, and then this is the next step, and then this is what it means to launch. And then once we did, then you guys have constantly worked with us. We’re constantly working together on, okay, now, how do we optimize this and refine it even more? And that’s been an incredibly easy process, too. So it may seem like unaccessible for people that are not a data scientist or, you know, AI prompt engineer or anything, but it’s actually incredibly accessible. Yeah, thank you, Jessica. I always like to say our CTO is a PhD in computer science. Chris made us. I always say our PhDs did all the heavy lifting so that you don’t have to do it.
Unknown Speaker 39:32
You don’t have to put a PhD on the team. Ours took care of all that stuff to make it easy for you. All right. Well, let’s move into key takeaways, since we are coming up on the end, and I know sometimes people like to take screenshots of this, if you there’s something here you want to share with your team members, one thing to remind you is, as a registered attendee of today’s webinar, you will receive an email with the downloadable version, the on demand version, so you can share this with your team. You.
Unknown Speaker 40:00
Can watch it again. Maybe there’s other people in your organization you would like to have this information shared with you. Will have that opportunity.
Unknown Speaker 40:08
But you know, one thing that I’m seeing is that, you know, AI chat is really a new front door for economic development agencies, and I love that G Peck is leading the way, giving an example of how this can be done, and really helping you to scale that outreach, generate more access to your content, to all the amazing research that you’re developing and that you’re putting out there, and creating more engagement opportunities with your key stakeholders. So I am excited to hear how you continue to evolve with us, Jessica, and hopefully we’ll be back in a year and give the second part of the story on how some of these new capabilities are getting implemented. Oh yeah, that would be lovely.
Unknown Speaker 40:52
Today we also talked about the importance of instant and accurate responses. And Jessica, you talked a lot about all the lengths you went through to make sure that the content was accurate, that was on on brand for your voice, that it was very streamlined and succinct. And I always love to say that instant is really important, right? Because when your key stakeholder is there doing some research, and maybe it’s a different time zone, if they had tried to pick up the phone to call you, maybe they wouldn’t have been able to get a hold of you. But with the chat. It’s like you and your team kind of have this virtual version of you that’s always there to answer questions, and so that you truly become a 24/7 operation when you have this AI chat capability and your global partners that might be 12 hours different in terms of their business day, you know, they’re getting the answers they need as well.
Unknown Speaker 41:42
And then we also talked about the opportunity here with personalized and guided journeys, depending on what kind of stakeholder you are, if you’re a site selector, an entrepreneur, an investor, all of these different kinds of stakeholders are going to have the content really available to them. That’s pertinent. And it sounds like you’re going to do some more personalization there with some deeper integration. So that will be the part two, next version of our webinar.
Unknown Speaker 42:11
And then, you know, we did spend some time talking about this idea of dynamic content updates and making sure your content is always up to date, and by having scheduled web crawls, by being able to dynamically source new event information, people who are coming and asking the chat bot, when is the next Leadership Council meeting they’re going to get the next one, not the old one that was
Unknown Speaker 42:32
happened last month,
Unknown Speaker 42:35
right? Which happens a lot. I see old events all the time, places.
Unknown Speaker 42:40
And then, you know, just in terms of how we’re thinking going forward, is that this is really a capability that allows you to scale right? We’re thinking about, how do we support global organizations like yours, and how do we make that possible from a multilingual standpoint, maybe supporting some of your gated content needs, integrating with your CRM systems. You know, our product comes already pre integrated, so to speak, with all the key CRMs. And then sometimes we hear about new ones, and so we look into those too, but because we’re an API driven platform that’s very straightforward for us to do. And then finally, we talked about the importance of data driven insights, really, to help uncover what are the topics? What is it that your stakeholders want identify new kinds of questions, or even types of stakeholders that might be coming to the chat and inquiring so now you have a better sense of who your constituents are really and how you can better serve them, because they’re telling you you’re having conversations with them. And one of the beauties, Jessica is, over time, right? You’ve been using this product, maybe now for about six to eight months, but over time, you’re going to amass this incredible data set, and you’re going to have such a different kind of understanding of your stakeholders, with the kinds of questions that they’re asking and the inquiries they’re making that will really set you apart from a career standpoint. Like, Hey, you’re the one who really knows what what Apple, because you’re looking at this data all the time.
Unknown Speaker 44:13
All right, so in closing, I’m going to just make sure that we are on time. Yep, we’re we’re good here. What are you most excited about going forward? So let’s, let’s close with some parting thoughts here for our audience. And also, just while you’re here with us, feel free to connect with us. Jessica has offered to be a resource. If you are an economic development agency wants to go on this journey. I’m I’m volunteering you, but I think, since you put your LinkedIn,
Unknown Speaker 44:42
oh, yeah, right, we’re both open to connection and answering your questions as well. If you have something that comes up later, or you’re watching this virtually and you still have a question, reach out to us. But Jessica, why don’t you tell us what you’re most excited about going forward now, now that you’re on.
Unknown Speaker 45:00
That way
Unknown Speaker 45:02
I am most excited about really, I love looking at the customer journey and really, you know, from the beginning to end, really, how can we meet them at each point? And so I’m excited to use this tool for more customer journeys when it comes to digital ads, or when it does come to like email automation and outreach and lead generation and stuff, and how can we,
Unknown Speaker 45:25
you know, customize the chat bot so that when we know a lead is coming from a digital ad, that they’re met with a custom message that’s relevant to what they were just researching on us and about us and everything. And so that’s, that’s something that I’m most excited about, is really like refining each of those customer journeys along the way and finding the most impact that we could have on that absolutely, and then you would be able to have an AI generated response to that specific ad. So that’s exciting, that you’re doing that. Yeah, and you can use source attribution in the chat bots to, you know, we read the parameter and we know, okay, this person came from this ad. This is the response that they’re going to get, and it could be different for
Unknown Speaker 46:10
everyone. I love that, okay, well, that we definitely need to have bring you on once you’ve implemented that, and you can share the part two of the story. Also, you’re welcome to scan this QR code, so just grab your phone take a photo, and you can scan it as well. If you’d like to just schedule a free consultation with an AI expert at Baco. AI, we can take a look at your content, your data sets, and tell you the feasibility of putting together an AI chat bot here that can start to start to look like the one that you just saw today from G Peck, they’ve done such a great job putting something together that was very thoughtful and very oriented at what their audience needed. And so hopefully today served as a guide. You may have different needs or stakeholders that you’re trying to serve, and we’re happy to talk through those with you specifically. And with that, I think we’re up on time. Thank you so much, Jessica again, for joining us here today, for spending time with us, for your partnership, and just for GPAC for being so awesome. We really love partnering with you, and love how you’re just leading the way in innovation here for the greater Phoenix metro area. So thank you, Jessica. Please send my regards to the whole team over there, and thank you everyone for joining us here on our webinar today. Please share this with your coworkers and team members or friends from the industry. We’d love to have them also join us here as audience participants in the on demand version. All right, have a great rest of your afternoon. Take care everyone, and thank you. Applause.