The biggest thing that we hear with AI and technology is this loss of a personal touch. I would love for both of you to kind of break down maybe the antithesis of that. What’s the opposite? How can we actually leverage AI and technology to enhance customer experience versus pull away from it?
In today’s episode, Courtney and I sit down with Diane Delaney with Private Risk Management Association and Steve Forte with Patra Inc. And we’re gonna be diving into AI and technology and how agents are currently using AI to be more efficient within their day. And also, what does this look like for the insurance industry and insurance agent in the future, the next one year, three years, five years? What is it going to do to with rates and more?
With that being said, let’s start the show. Hey. Welcome to the insurance buzz. We are your host, Michael and Courtney Weaver.
And today, we’ve got Diane Delaney with Private Risk Management Association and Steve Forte with Patra Incorporated. And we’re gonna be talking about things going on in the insurance industry and AI and how you can utilize AI in the future and what you should be looking out for to just be successful in the insurance industry regardless if you’re a producer, agency owner. It does not matter.
We are gonna get into it. Steve, I’m gonna start with you with the question. If somebody is coming to you, if an insurance agent is coming to you with a problem with AI or technology, what are they coming to you with?
They’re coming to us with, understanding how we can utilize whether it be machine learning or natural language processing to be able to streamline processes, whether that be working with, customers directly or working with the carrier side, in order to pass data back and forth in a streamlined manner to make underwriting a lot more efficient.
I think it might make sense, if you don’t mind, to kind of talk about, people say AI. There’s a lot of different AI technologies out there. But just for the listeners, out there, we should probably define what AI is.
So in general, AI is in a machine’s ability to perform some kind of cognitive functions usually associated with the human mind. So I think in the last, you know, probably a year and a half or so, all of us are familiar with GenAI or generative AI. Which is your chat GPTs, etcetera, that helps, you know, you put in a prompt and it’ll create some content, whether it’s a text or an image.
You’ve got, robotic process automation, RPA, which is intelligent automation that performs repetitive tasks. You see this a lot in the manufacturing industry.
You’ve got natural language processing or NLP, which uses machine learning to enable computers to understand human languages. And then you’ve got, machine learning, which allows machines to think, if you will, quote unquote, like humans.
I love it. Yeah. I mean, Courtney’s actually you would you adapted to ChatGPT much faster than I did, and I’m amazed. So she’s been working at the last two years, and that thing is so dang smart. It, like, she’s got it figured out or you really got it figured out to where it knows your language. It knows me.
And it’s amazing that, yeah, two years ago, it was not that great, but now it’s like, okay. B Michael, say this. And it’s like and it’s pretty much spot on. Like, used to, I had to change a lot. And so it’s been fun to watch how far technologies come in just a short amount of time with really some of the things that you just mentioned.
I wanna have a conversation, though. When we’re talking about AI and we’re talking about technology, let’s talk about the insurance space. Why is this important? I would love to get both of your feedback. Diane and Steve, why is this important for insurance agents to be paying attention to this?
Yeah. And I think we can look at this in two different areas. We can look at it and how it’s going to help our industry be more proactive. And then, Steve, if you wanna jump in on really how our independent agents and brokers are utilizing it to, really increase the ability to get more done and spend more time with the clients.
But I think, you know, when we look at the insurance industry, historically, we’ve been a reactive business. Right? We hope we don’t pay out on claims, but that’s what it’s there for in the event of a catastrophic event.
Where AI and tech is starting to change our ability as an industry to be more proactive and less reactive.
Your classic example would be things like your water leak detection systems.
You know, years ago, it would be, oops, you had a water loss in the home.
We’re gonna pay out on the claim, and then we’d give you funds if you could put a leak detection system into the home. But now it’s almost changing in the industry where it’s becoming this requirement because water loss, despite what’s happening with mother nature, is still one of the largest causes of loss on the home today. And that just can’t be when we can’t control these catastrophic events, but we can control what’s happening with the pipes behind our walls. And it’s systems like the leak detection systems or these electrical fire suppression systems.
Even I have a Ting device in my home that’s watching all the wires behind my wall to make sure there’s no arcing. So all of that coming into place is going to allow clients to be more proactive in preventing their losses from happening. And then that in turn will really decrease the amount of unnecessary claims that the insurance companies are paying out on. And never, you know, never mind just the claims process itself, but it’s eliminating that inconvenience for a client who now has to be displaced from their home because of a major water loss that could have been prevented.
No. That’s great. Thank you, Diane. Yeah.
I’m sorry. Go ahead, Michael. Oh, I agree, Diana. I think, AI is going like, when I look at the future of AI, I believe it will be it’ll bring transparency to every conversation and every interaction that happens in an insurance agent agency.
It doesn’t matter. Independent, captive, whatever. When you have the ability to track conversations, know what your, team is doing, know what the customer is saying, the customer has the ability to know what they’re buying. I just think that with the future of AI and technology that eventually we’ll be able to AI will be able to, eliminate, alright, some of the things that can come back on an E&O claim.
Some of the things that, like, well, the customer says, well, you never told me this. It’s like, actually, we have a documented conversation of our conversation saying, actually, I did educate you on this. And so I’m pumped not just for that, but it’s gonna bring transparency, buying back time. Like, I think there’s a lot of really positive things gonna happen.
Yeah, Michael. And it’s such a good point too. Because if we think about last year when these major events hit Florida, which was really a non event for the insurance industry because it was a flooding event. And we thought it was gonna be this massive tropical storm or hurricane, which it was, but the problem was most of the damage was caused by flooding. And how many times could a homeowner come back to their broker and say, well, you never told me I didn’t need flood insurance or this wasn’t covered. And I think this will protect both the client and the broker in the future as well in terms of documenting and Yep.
Recording those conversations.
Yeah.
Steve, I’d love your take.
Yeah. So I was just thinking about listening to both of you. And, if we think about how technology is really shifting the insurance industry, especially for agents and brokers, You know, the automation that’s available today with AI really frees up the staff to get away from just the manual and the paperwork processes and focus on being a strategic risk consultant.
So technology now can handle a lot of these routine tasks, so agents can actually be that sort of adviser that they need to be, especially for the high net worth clients because they don’t understand all the exposures that they can potentially present, to a carrier, and so they need that expertise.
If you think about there’s different client engagement models today. You have there’s twenty four seven service availability through digital channels. You’ve got personalized client portals that replace periodic policy interactions with customers.
There’s this continuous flow of engagement between a broker and their customer as well as with the carrier when you’re looking at, either endorsement processing or renewals on policies.
And if you get into analytics, now you can understand, okay. Here’s where my book of business is, and what do I have today? And also identify what are new market opportunities that are out there. So this where things like policy data extraction comes into play where you can extract the, the data that’s trapped inside of PDFs and put it into a data lake and then use your favorite BI tool to kind of mine that and understand, here’s what my book of business looks like. Here’s where I’m losing money or making money, or here’s an opportunity where I can go after a new area that I haven’t thought about before.
Yeah. What’s a BI tool? What do you what are you saying?
Business intelligence tool. Sorry. I didn’t mean to abbreviate. I forget. Oh, yeah. Good. There’s a lot of acronyms in the industry, so I’ll try to spell those out.
Okay. So you’re saying we can actually go in, assess, like, different clients’ information, and say this where I’m missing opportunities?
Yeah. Absolutely. And understand even if you’re there if they’re under insured or over insured, You know, typically, everything is comes out of an AMS, an agency management system, and it’s in a portable data format document. Mhmm.
So in order to get that out of there, typically, you’d have to look at it and manually key things in. Now there are some tools out there now that’ll extract all of that data, put it into a dot CSV or JSON format, and then you throw it into a data lake. And then you start using your business intelligent tools to really mine and understand the exposures that you have, and that’ll really helps your clients understand, hey. You know what?
This where you’re living over here, these exposures you have, you need this type of insurance. So we need to expand on what you have.
And that’s really the name of the game is analytics. And I think, brokers and agencies are understanding that, especially the larger ones. And so they’re really being more data driven in the tools that they’re adopting with AI.
You briefly touched on the carriers being able to, like, share information, using this to share information. But when we’re talking about the agency force, the biggest thing that we hear with AI and technology is this loss of a personal touch. I would love for both of you to kind of break down the maybe the antithesis of that. Like, what’s the opposite? Like, how can we actually leverage AI and technology to enhance customer experience versus pull away from it?
Great question.
I think and I think it’ll allow us to do just the opposite is have more of a personal touch. So for example, you, you know, at the start of this, we were talking about ChatGBT.
Now, understandably, for a lot of the independent agents, they can’t just take a client’s policy information and upload it into ChatGBT because it’s a lot of personal data. However, a lot of our agencies that we work with have their own form of ChatGBT embedded within their systems.
And what that will allow them to do is to upload the policy information. And I know where our agents have spent a lot of time is they wanna be able to have real conversations with their clients on, like, what their policy is lacking or maybe has a lot of and how does it compare to what they’re recommending based on the client’s needs.
And they would spend hours trying to do a side by side comparison on what they have and what they don’t have. You know? And that takes away from how much time you can be spending talking with the client.
And now you just upload it into these tools, and it spits out the differences and these side by side comparisons.
And I think those type of features will allow our agents and brokers to really understand the differences in the policies because there are so many different insurance companies out there. It’s impossible to kind of get this all nailed down. But I think that’ll be a big component, in allowing agents to really spend more time on that person to person conversation Because, you know, most of us working in sales, getting into the nitty gritty of spreadsheets is not our specialty.
Yeah. And I think with the using these digital tools and AI tools that they have, they’re going to be able to provide more personalized service to their customers. So they’ll be able to, you know, tell them, hey. Look.
You know, you’ve got these exposures here. You need to understand that you bring a lot of liability to a carrier, and here’s how we can mitigate those kind of things. Diane gave some perfect examples, about the technology that she’s using in her own personal life. You know, the, the Internet of things has come a long way in the last, you know, five or seven years.
And if you think about it from an underwriting standpoint, brokers and agencies as well as carriers are using those type of technologies to understand the exposures within, home and especially in a high network type of home as well. So, you know, people are able to get, information faster from an underwriting standpoint, whether that’s through digital automation or it’s through satellite imagery or, the Internet of Things, whether you have smart thermostats, etcetera. And, you know, that, I think, is gonna provide more personalized service to their customers. So, really, I don’t think technology is a way to look at it as it’s going to negate that personalized service.
I think it’s going to enhance it.
Yeah. And, like, the example you just gave Diane and look, there’s two sides of this. There’s the customer facing agency and then there’s the underwriting. I actually am of the belief system that most underwriters will be replaced by AI because underwriting process, just like Diane was just saying on the agency front.
Now agents, I don’t believe so. I believe there’s always a need for the human connection, the human conversation, having real conversations with real people and, delivering on that and establishing that human connection. But think about as an insurance agent or producer, whatever, the ability to remove the human error from looking at policies and plans because there’s no way that you know what every endorsement is for every company. So you have the ability to now upload policy information into a system within typically sixty seconds to two minutes.
It’s giving you a complete report of here’s the things that are good, here’s the things to have the conversation about, here’s the problematic areas that I would one hundred percent bring up. And so I believe that it allows the agent to be, much more confident in what they’re doing in a much, faster time frame. So from an efficiency standpoint to where now, like you said, Diane, now you’re doing what you do best and you’re just having conversations with people that matter and that convert.
Mhmm. Right.
That’s where Diane’s a criticism in that proactive risk management. You were just touching on those places.
Another area I think is important that technology is playing making a really big impact is in how, brokers and agents can help differentiate themselves is in AI powered claims processing.
So technologies out there like first notice of lost systems, automated triage, predictive fraud analytics, digital documentation, all of those things. It’s gonna benefit high net worth clients, especially because you get faster resolution.
You’ll have better communication and less of a documentation burden.
And as an agent, you become more of the claims advocate rather than a claims processor.
This so good. I feel the resistance to change because there’s a lot of things that have been changing super fast, especially when it comes to technology.
I’m curious. Somebody that does get on board with the direction of AI and technology, what can they expect? Like, what are the great benefits of doing things like this?
I think I think it really comes down to, you know, the benefit of putting this in place is time. I think that’s one of the bigger things we complain about is there’s never enough time in the day. I don’t get to spend time on the things that I enjoy doing. And I think that’s huge is once you realize how a lot of this can save you time while also being more accurate. Like, what more can you ask for? It just means we might cram more stuff in our day, though.
But that’s the name of the game, though, is a and it doesn’t matter it doesn’t matter if you’re the owner or who whatever you are in the organization. If you can figure out ways to buy back your time that save you energy, in this example, I’m just gonna say save you money. You can be more confident in it. You have more time throughout the day to do the things that you enjoy and are good at versus, shit.
I have to do this because this just part of the process. Mhmm. And I think I am a firm believer that one year, three years, five years from now is going to look so significantly different in the day to day operations that it is hard for us to even fathom what it looks like, but it’s gonna be so much more efficient. Gonna be able to do more of the things that we love to do, and AI is going to be our best friend that allows us to buy back our time and do the things that only we want to do.
I I’m so glad that she said time because that is the thing that we’re all wanting more of. We all we’re all like, I need more time in in my day. So, Steve, I’m curious because you deal with this on a level that I can’t even comprehend.
You can tell we’re getting excited now.
We’re all excited. Yeah. It’s good.
Some of the words that you’re saying, like, I don’t know what he’s saying, but I like it. I like where we’re headed in this conversation.
So let’s play this little game in one year, three year, five years. What does this look like? What does AI in the insurance space even look like?
Well, I think Michael talked, touched on a couple of those points in terms of that no touch underwriting where you’ve got straight through processing, pure technology. And we see that today in personal, automobile. Right? There’s really very few instances where you need a human being to actually really underwrite that type of policy.
It’s certainly going to influence not only in underwriting but in claims. But I think really and you I have everyone all three of you touched on this, but I don’t know if it’s already been wrapped up in a way that the way people have to think about AI, technology, and InsurTech in general is it’s a balancing act between technology and the human touch factor. So you really need to use automation to create capacity for meaningful client interactions.
Technology should enhance, not replace personal relationships with your high net worth clients.
What agents and brokers should do is position their tech adoption as a client benefit, Meaning, they’re gonna automate route the routine stuff so we can keep things and personalize things as important to them.
And the success of this really requires blending tech capabilities and that specialized expertise and strong relationships.
Well, I’m even thinking, like, I don’t know. I’m very bullish on technology from a business owner standpoint and just transparency like I brought up earlier. But Diane, like, before the episode started, I was like, okay. So out of your like, your six thousand agents, are they having conversations over the phone?
Is it virtual? Is it in person? It’s in person. So someone right now might be thinking, well, if you’re having in person conversations, there’s no way to really include AI on that.
I would actually say there is. You record every conversation, and you just say, hey. To make sure that I don’t forget anything and just to make sure we’re gonna record this conversation, I’m gonna go back, plug it into my AI system. It’s gonna recap the entire conversation.
Tell me and then here’s the AI for the agent or the producer. Hey. Here’s something that got brought up in the conversation that you may have forgot to mention. Here’s some here’s the all the reminders that you need to do.
And so I’m just looking at all the ways that AI is going to help us not only automate processes but become more efficient, but, again, bringing transparency to every single conversation. Because in your situation, for example, Diane, your owner, six thousand agents underneath of you, something happens where an agent doesn’t do something they’re supposed to do. Sure. It’s gonna fall back on them, but it also falls back on you to where now you have the AI component to where every conversation is recorded, and it tells you, the company, hey.
Here’s the exact conversation. Here’s what to look out for. Here’s maybe something the rep missed out that we can coach them on. There’s just so many possibilities with this.
I think the list is endless. Like, it is really amazing when I think of it.
Yeah. And I think it I mean, there’s so many different angles to look at this in as well. You know, from the claims as Steve mentioned, even in the sector that we work in, we’re talking about clients with high end collections and how appraisals are being done. You know, a lot of that was done in person.
Will we start to see more of that be moved into this virtual aspect that is a lot more accurate? You can compare how the artwork or the wine is being sold against other buyers in the world. So I think we, over the next two to three years, will see a drastic change. I recently had a discussion with a new company, which I was really impressed with their technology.
I won’t give the name yet. But what they’re working on is you know, if we look a lot a lot of these luxury, vehicles today, there’s so much data that they’re showing. But let’s just say someone is, you know, driving a vehicle and all of a sudden they don’t know why their car goes out into the break breakdown lane and they cause an accident.
And they can go to the insurance carrier and say, like, I don’t know what happened. Just the car stopped working or I just I had no control of it. But you caused the accident, so the insurance company is gonna go after the insured for that, and they’ll pay out on the claim. But this company is getting access to the vehicle data report with agreement from these luxury vehicles and be able to show, you know, at this time, at one twenty two PM, what it did show in that vehicle was that the change lane system failed, which caused this individual to get into the accident.
Now who’s responsible for that claim? Should it be the insurance company? Should it be the vehicle makers?
Yeah.
But I think why we’re gonna see the industry slower to adopt these type of things because we do get into the sensitive information of clients.
Yep.
And I think that’s where we kind of tiptoe this fine line.
And I know in just speaking with some of the carriers and the tech firms they’re working with, when I go to them and say, I just feel our industry is archaic with adopting this stuff, What they tell me, which makes so much sense, is it’s not that we’re archaic, but you have to take a step back and say, okay. Like, this company that’s working with a luxury vehicle company, You can’t go to an insurance carrier and say, hey. Do you want this technology? It’ll allow you every time this specific vehicle gets into an accident, you can get into the data for it. And the insurance company is gonna say, that’s great, but come back to me when I can have access to all luxury vehicles.
Or a tech firm comes forward and says, this available in three states. Well, the insurance company is not gonna adopt it yet because they need it in all states or else that will create error. Like, Michael, you alluded to this before. If brokers have to use multiple systems or carriers because the technology that we’re trying to adopt is not available from all luxury vehicles or available in all states, that’s why we’re not adopting it sometimes at the same rate that we may see in other industries do it. But I do think we are going to see a drastic change in the next two to three years into what’s available.
Yeah.
I mean Okay.
I’m asking this question because I would love your take on this. What happens if we don’t adopt this? Because I think history takes us where it wants to go, and I think we have to evolve. If we don’t if we’re the insurance agency that says, says, you know what? I don’t want any part of this. What happens to us?
Yeah. I can jump in on here and, Steve, if you wanna Okay. Take over because I might look at this from a different angle. I think we’re starting to see it. I wouldn’t say that all mergers and acquisitions in the industry are due to a company not looking at their AI or tech. I think there’s all different reasons why these m and a’s are happening.
But in ones that I’ve spoken to, so a lot of strong family run agencies who I never thought would sell to a national. When I talk to them and say why, one of their fears was keeping up with the pace of technology. And a lot of these large national brands give them the ability to move quickly, and they don’t wanna outdate themselves because they’re gonna be taking on a multimillionaire and the younger generation, and they can’t keep up with that tech standpoint.
And, Steve, before you get into this, because I’d love for you to talk more carrier standpoint, if you would, the risk of that. But Diane, you just hit on independence and brokerages, even in the cap like, let’s look at the captive space. You’re starting to see captive carriers start to give ultimately their top twenty percent of agents better opportunity. And then you see the bottom eighty percent of agents.
And what I mean by that is multiple locations, multiple businesses. Like we’re gonna we’re gonna start to filter you the leads. Right? And so I’m just gonna come out and say, if you don’t get on board with this, you are going to get left behind.
Like, period. In my opinion, from an agency owner standpoint now this could differ between agency owner and carrier. And, Steve, that’s why I’d love we’d love to pose the question to you. Like, how about the risk that a carrier runs in this in this example?
Yeah. Well, the challenge there is really the erosion of the relationship between the carrier and the broker.
You know, as they’re looking at more data driven type of technologies and expecting that, you know, you’re gonna get declining market access as carriers that you just said prefer tech enabled distribution channels.
If somebody, adopts more technology, for example, they’re gonna look to do business with them. It’s just gonna be easier. You know, technology adoption really isn’t like it’s really moved beyond, simple advantage. It’s like a survival imperative today. If you think about it, your competitors if I’m a high net worth client, I’m gonna wanna do business with somebody that’s easy to do business with, that understands my exposure, that understands me, and understands everything that I have going on. And if I can get access in in sort of the couple of clicks versus I’ll get back to you in a few days and let you know what’s going on, that’s not really good ease of business or good differentiation.
You’re gonna also find too that, there’s inability to meet customer presentations if you don’t have these AI technologies in place to be able to understand what they’re doing. There’s gonna be higher cost, if you’re maintaining, manual processes or lack technology adoption.
These traditional operational models that have been, in place in the insurance industry for a long time are completely inefficient, and they have to go away. And this where AI is gonna come in and take over that. And it’s a resource drain too, for example. You know? People just the cost that are associated with that, they just can’t have anymore. And there’s gonna be missed opportunities.
You know, again, that’s like looking at new markets that are out there require tech you to adopt newer technologies to understand what’s out there and to, identify it.
And it’s really gonna hurt your bottom line with your customers because they have a certain expectation. It’s like in our personal lives, we have an expectation whether we’re shopping on sites or doing whatever we’re doing.
Your business partners are gonna have that same expectation. You know? And they want that twenty four seven access, and they wanna be able to get information quickly. And, especially in a claim type situation, they want their handheld. They wanna be known that it’s gonna be okay, that the carrier is going to pay out the claim, that they’re gonna be restored back to the point where they were prior to the loss.
OK.
So I do I know you’ve got some I’ve got two questions. So specifically, Diane, so you talked about mergers and acquisitions on the agency side. Right? Have you started to see any mergers and acquisitions from a brokerage or carrier standpoint to where that also makes sense because one’s just not adopting the tech yet would be my first question I have just specifically for you.
So just to clarify that, are you talking about, so if we look at one of our larger carriers and a broker merging more, or is it carrier to carrier?
I think let’s do broker to broker first.
Yeah. So from a broker to broker, that’s where I’m seeing more of.
OK.
I’m seeing a lot of those brokers, larger brokers acquiring the smaller shops, and that’s more I mean, almost every day, we’re reading an article about where this happening.
Perfect. So carrier to carrier, you have not really seen that yet?
Or Well, years ago in our industry, so within the last, I’d say, five to seven years, we saw one of our largest carriers merge with two of our other high net worth insurance carriers.
OK.
And I wouldn’t say technology was the only reason we saw that happening.
OK.
Alright.
This purely opinion question.
When you look at the future of insurance, do you believe that AI and technology will drive down the cost of insurance for consumers or drive up the cost for consumers? And let’s put a time frame on it five years from now. Because I believe there’s gonna be some pain that all of us have to go through. But five years from now, do you think insurance costs are lower for consumers because of AI or higher for consumers because of AI?
I think in in the long run, it’ll be lower. But up until that point, it’s gonna be higher because think about it. If you’re an agent or broker, even the carrier side, they’re adopting these technologies. They’re making those kind of investments right now. So you’re not going to see an ROI immediately. It’s gonna take time, and so their operational expenses are going to increase for the short term. Long term, though, they will.
OK. Diane, you agree with that?
Agreed. I would say it’s gonna allow us to get more accurate with the information on the insured, more accurate in detecting some of these wildfire type events before they even get there so that individuals can take action. Mhmm. So I think there’s a lot of positives to come out of how AI will help us in the future outside of what’s happening in the world in general.
Alright. You good?
This so good. This literally like Darwinism of technology. Like, we have to adapt. Like, we have to.
And I love that Steve, you did a great job of bringing that up from a service side. I even had a phone call. It was a couple weeks ago. And they were trying to reschedule our vet appointment for one of our dogs.
And it was a human being. Like, hey, Courtney. This and I’m like, why are we still doing this? This so inefficient.
Text me. Like, just text me to confirm that because I’m immediately thinking that’s a warm body. That’s payroll. We could be using these funds elsewhere.
But this such a great conversation because we’re not just talking about claims. We’re not just talking about assessing risk. We’re talking about what is the customer experiencing our agencies like. Mhmm.
Like, what are they really getting from this? And the more this my belief. But the more we leverage technology as a tool to enhance the customer experience, the more we can put our human touch throughout that entire process to where we can really do what we’re supposed to be doing. So I think AI is gonna be our little assistance.
I can’t wait. I am so thrilled. There is there is going to be we are evolving. We are changing.
We are adapting. So there is with growth. There is challenges. That’s just part of it.
But I love having more of these real, honest conversations about where this industry is going and how we’re leveraging technology. So I appreciate Steve, Diane, I appreciate you coming on here and being really transparent and talking about where we’re headed.
Yeah. Thank you guys. Thank you guys very much. And for all of those of you who are tuning into the buzz today, thank you so much as always for your support.
Time and attention are by far our most important assets. We hope that you’re getting a lot out of this conversation. AI conversation. AI will be something that we continue to talk about more and more and more on the insurance buzz to stay up to date and make sure that you’re in a position to leverage AI so that you can be as successful as possible.
Diane and Steve, what would be what’s the best way for them if they wanted to follow you, connect with you, maybe even work with you, for example? What’s the best way for them to do that?
Go ahead, Diane.
So if you want to check out the private risk management association dot org web page, You can find everything out in terms of how we’re supporting the industry with the market changes from an educational standpoint. But my contact information is on there. My team’s contact information is on there. So if you just check out that web page, you’ll be able to find us very easily.
Yeah. And for me, at patracorp.com, you can see everything that we offer in terms of our services to the insurance industry. And on LinkedIn, I am the IT insurance geek. So that’s my handle.
Let’s go. Hell yeah. and everyone, the links are gonna be in the show notes. So just click below.
Click on the links. Make sure you guys connect with both Diane and Steve. This fantastic. I love that you’re bringing up LinkedIn.
I think everyone should be on LinkedIn.
I think at least from a But here’s the coolest LinkedIn name.
A dope ass name. Oh, come on. I think he’s the coolest name.
If nothing else, follow Steve just for that badass name.
Yes.
Love it.
Steve, Diane, thank you again. We appreciate you very much.
Thank you for having us.
Our pleasure. Thanks for having us.
