CCC Intelligent Solutions at Goldman Sachs Conference: AI-Driven Innovation

On Wednesday, 10 September 2025, CCC Intelligent Solutions Holdings Inc. (NASDAQ:CCCS) presented at the Goldman Sachs Communicopia + Technology Conference 2025. The discussion focused on CCC’s technological advancements and growth strategies, with an emphasis on visual AI and its impact on the company’s competitive edge. While the firm showcased impressive innovations, challenges such as transactional revenue fluctuations were also addressed.

Key Takeaways

• CCC is leveraging visual AI to improve the accuracy of vehicle damage assessments.
• The company reported a 5:1 return on investment for its AI-driven solutions.
• Subscription-based revenue provides stability, while transactional revenue faces pressure.
• The acquisition of EvolutionIQ is set to enhance growth in casualty and workers’ compensation sectors.
• CCC aims for a 100 basis points margin increase annually, targeting mid-40s margins.

Technological Innovations

CCC Intelligent Solutions has made significant strides in visual AI, distinguishing itself from generative AI by analyzing three-dimensional vehicle damage from photos. This advancement has earned the trust of 40 major customers. The IX Cloud Platform further integrates AI into workflows, connecting various industry stakeholders and enhancing decision-making processes.

Competitive Advantages

CCC’s deep understanding of industry workflows and its extensive dataset, which includes 500 to 600 million photos, provide a competitive edge. The company’s integrated tech stack merges traditional workflows with AI, ensuring efficient implementation and a strong focus on ROI, with customers achieving a 5:1 return.

Financial Performance & Growth Strategy

CCC’s revenue model is predominantly subscription-based, offering resilience against claim volume changes. The acquisition of EvolutionIQ is expected to contribute 2% incremental growth, focusing on disability and workers’ compensation. Emerging solutions have shown growth, contributing nearly two points in the first half of the year. CCC targets a 100 basis points margin increase annually, aiming for mid-40s margins in the mid-term.

Q&A Highlights

During the Q&A session, CCC discussed the impact of AI on software development, significantly reducing prototype build times. The company also highlighted its efforts to enhance customer experience through AI integration and addressed the gradual impact of autonomous vehicles on claim frequency.

Conclusion

For more details, please refer to the full transcript below.

Full transcript - Goldman Sachs Communicopia + Technology Conference 2025:

Brian Herb, CCC Intelligent Solutions Holdings Inc.: Yeah, absolutely. Thanks for having us.

Kelly Dorsey, Colleague, Global Tech Technologies: We will go ahead and kick it off. Thank you so much for joining us today, the three of the Global Tech Technologies team. We’re very delighted to have the CCC Intelligent Solutions Holdings Inc. team up on stage with us. My colleague Kelly Dorsey to my right, Githesh Ramamurthy, and Brian Herb, thank you so much for your time today.

Brian Herb, CCC Intelligent Solutions Holdings Inc.: Yeah, thanks for having us.

Kelly Dorsey, Colleague, Global Tech Technologies: Githesh, we’ve had some iconic tech companies present this week. What I find iconic about CCC Intelligent Solutions Holdings Inc. is we’ve already delivered through 40+ years of technology evolution and technology transitions. I would love your perspective to start. How do you think about this current technology transition in the insurance industry relative to prior transitions that we’ve seen with cloud and multi-tenancy? There’s been so much that the company has spent time on. Maybe just give us your observations as someone who’s been in this industry for a very long time.

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Sure. One of the things that we’re very proud of is through this whole cycle, we have essentially reinvented this company multiple times over this time frame. The durability, if you think about our business model, has really been that the end markets have been very stable, right? Auto insurance for a long time, the number of cars on the road, that continues. That’s been there. At the core of it has really been an extraordinarily deep understanding of not where our customers are today, but where our customers need to be one year out, two years out, three years out. As you know, our customers are making five-year commitments with us, right? That means a deep understanding that will keep them at the forefront one, two, three, four, five years out. That means we’ve also kept a very deep foothold on the technology side.

Exactly as you pointed out, each wave of technology, right? Moving to client server, moving to object-oriented computing 30 years ago, going to mobile, going to cloud and our IX Cloud Platform, we went there 25 years ago now, right? On AI, our investments in starting to buy NVIDIA hardware 10, 11 years ago. In fact, we went to production. There’s a Wall Street Journal article in November of 2021 because of production. We see this wave of AI-driven innovation as actually larger and more impactful than any other wave that we have seen.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, that makes sense. Maybe stay with us on some of the AI innovations that you’re driving internally. Twelve months is a long time in the AI world. Maybe share with us your one or two most exciting technical achievements over the last twelve months tied to your AI roadmap.

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Sure. I think interestingly enough, we’ve done two things that really jump out, right? One is really an extraordinary level of depth around what we call visual AI. Visual AI, this is slightly different from generative AI. We use generative AI models from everybody, right? We have 10 different models. We have hundreds of models we built on top of this. We think the deep generative AI models, everyone’s going to have access to them. On the visual AI, what has been extraordinarily difficult and that has taken us many years to do is to understand from a photo, a two-dimensional photo, the three-dimensional complexity of a vehicle because every damage is unique. Unlike a production car coming out of an assembly line, each damage is unique.

You have to understand all the three-dimensional structures of the vehicle, the cost, the labor, all of that, and getting a level of accuracy on that capability. Most importantly, seeing our largest customers trust us with that accuracy after several years. That’s why in Q2, we’re really excited about customers now starting to look at us up.

Kelly Dorsey, Colleague, Global Tech Technologies: It’s interesting that you mentioned the visual AI because one of the hypotheses we’ve been debating is, is the barrier to entry actually higher for visual AI and for some of these AI technologies that span the physical world and the digital world relative to generative AI? I guess the question for you is, do you think we’ve already had a ChatGPT type moment in the applied AI or the visual AI space, or is the question not even really relevant for visual AI?

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Yeah, I think what we are doing is very unique in the space. I think we have crossed that moment where customers now consider this a working, valid technology. That’s why we have 40 customers. That’s why we started with STEM and STP, and that has led to a whole series of other solutions. How do you handle the first part of the claim? How do you handle reinspections? How do you do other aspects of that? It’s given us enormous credibility because of that early lead that we had. I’m not sure I’d call it a ChatGPT moment, but the adoption by our largest customers is also sending a signal to everybody in the marketplace that, hey, this is mainstream, it’s real, it’s working. That’s taken, as you know, a little bit of time, but we’re very excited about where we are today.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, absolutely. I think this next question is for both of you because, Brian, you have an operator’s perspective as well. There is a debate in the market right now on competition. It’s specifically around, do the barriers to entry in software go down because it gets easier to code and because of how transformational some of these technical technology milestones have been? We spent a lot of time in the private company ecosystem, and we’re surprised by how many startups we meet that say we’re targeting insurance. Here’s our insurance case study. Here’s how we’re doing exciting things in insurance. My question for you is, how is competition changing? How do you think about the barrier to entry for a vertical-specific domain solution relative to, we’ve had a lot of horizontal application companies present here as well?

Brian Herb, CCC Intelligent Solutions Holdings Inc.: Yeah, you can start, and then I can add.

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Yeah, let me start off, right? We’ve always operated in a competitive environment. Also, remember, many of our largest customers, car companies, insurance companies, some of the largest multi-store operators, some of our customers have 10,000, 20,000 people in IT. They are the customers for many of the more sophisticated technology providers. Yet, they have relied on us to deliver this technology. We’ve always operated in a competitive environment with competitors. That is just going to be par for the course. I think what really differentiates our solutions are three very fundamental things from a competitive standpoint. First and foremost, we have an extraordinarily deep understanding of the unique workflows that are very specific to this industry.

That doesn’t rely on just the insurance company, or the repair facility, or the parts provider, or the rental, or the tower, or the car company, but it’s a network of workflows that goes across all of these different entities. That means your AI has to work and orchestrate. That is what we call the IX Cloud across all of these different things, right? That network effect is an extraordinarily important piece of competitive advantage. The other thing, I would say the second thing is that the depth of what we have in terms of the dataset we have is massive. $2 trillion of historical data, 500 million, 600 million photos. Most importantly, we’re seeing about $1 billion a day of claims in the United States flowing through. That means drift in our models, accuracy of the models, that volume and the accuracy is extremely good.

Third, I would say the tech stack that we have developed integrates traditional workflows and SaaS with a seamless integration of AI and revving that AI. I think those are how we think of our competitive differentiators. Maybe Brian, you want to add?

Brian Herb, CCC Intelligent Solutions Holdings Inc.: You hit it well. The only incremental point I would make is what we’re doing today with AI is putting AI on top of our core software that’s already in place. It’s really an extension of what we do for insurance, for estimating, what we do for them with workflow. We put AI on top of those existing core software, and they really work seamlessly with our existing software to make recommendations to the carrier to make them more operational efficient. That is a real just extension of what we’re doing with our core software that we’ve had in the market. The AI on top really is integrated deeply into our existing core software. That also makes it, from a competitive perspective, very differentiated.

Kelly Dorsey, Colleague, Global Tech Technologies: Maybe just to drive this home, help us reconcile when we talk to companies like Palantir or even when we talk to startups like Rite Aid and they say that they’re doing insurance use cases. Where does that fit in the stack relative to you? Do you see them in the ecosystem or is it adjacent? Is it completely separate? How do we reconcile different insurance use cases with your competitive differentiation?

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Sure. There are many, many parts that we are not touching, right? For example, customer service for our customers. That’s a huge area. I mean, our customers are handling thousands of inquiries, phone calls, and the like. Yes, we do participate in some ways in that, but the technologies to really mine the data, use the data, generative AI. Across their core systems, there are so many other facets. Where we have been very focused is where we can have a very unique impact on the outcome and the performance of our customers as opposed to what I call much more of a horizontal play. The vertical nature of what we have and the connections to repair and all of these things is really where we’ve continued to be.

Brian Herb, CCC Intelligent Solutions Holdings Inc.: Yeah, and beyond just the vertical, like we’re specifically in a carrier helping them facilitate an auto claim. Our software and our AI is really focused on that process within a carrier. As Githesh said, the carrier has many other different areas and departments, but that’s where predominantly today our revenue is generated from is solutions that are facilitating the process of an auto claim through the ecosystem.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, this leads nicely into a question about budget prioritization of the customers. I know over the past 12 months, 18 months, there have been quarters where emerging solutions, there have been ebbs and flows in the pace of adoption. My question for you is, is it possible that customers look at the CCC broader portfolio and say, look, this is going to be a pretty heavy lift for us? Let’s wait until we feel better about our own IT infrastructure. In the meanwhile, we’ll do all of these POCs with some of the horizontal tools, some of these other tools which may be easier to deploy. In other words, are you seeing a little bit of a crowding out because customers are more focused on new shiny objects that are easier and they don’t want to do the heavy lifting on you?

How do you think about that relative budget priorities?

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: First and foremost, we are not seeing any impact of this because our customers have had access to all these tools for a long time, because as we’ve said, many of them. In fact, what customers are increasingly realizing is that if this isn’t integrated deep into the existing workflow, when I’m moving a car, should I repair this car? Should I total this car? When I’m dealing with my consumer, how does the consumer send the pictures up? How do I schedule an appointment for the consumer into the repair facility? These are all things that our customers are now starting to understand. That’s why we have had no issues with our customers piloting, testing, and then as we said in the second quarter, this is starting to roll out.

We rarely hear, we have other AI we’re doing, so we are not willing to look at subrogation or reinspect many of these.

Brian Herb, CCC Intelligent Solutions Holdings Inc.: Yeah, I would also just add, I mean, our products and solutions are fundamentally ROI-driven. When they look at our solutions, we’re talking to them about a 5:1 ROI. Deploy the software, the AI, and you’ll see operational savings 5:1. That really drives engagement because they’re all focused on how do they improve their operations and drive efficiency. That ROI mindset and mentality and how we sell also make sure that it stays kind of top of mind through budget allocations.

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: That ROI is incremental.

Kelly Dorsey, Colleague, Global Tech Technologies: Absolutely. Is it fair to say there’s been a shift in momentum over the last 12 months where you’re now at the point where the consistency of emerging solutions is sort of coming together?

Brian Herb, CCC Intelligent Solutions Holdings Inc.: Yeah, I mean, we’re starting to, it’s picking up and we’re feeling good on the overall momentum. In the first half of this year, it’s been about just under two points of contribution of growth. We saw that. Last year, we were one point of contribution of growth. It’s scaling in absolute dollars. It’s growing the fastest part of the portfolio. Some of the wins we talked about in Q2 give us confidence that that will continue to scale and move up. We talk emerging solutions being about half of our cross-sell and upsell over time. It’s SaaS revenue, so it’s going to build and it’s going to sustain. We feel good on the momentum and the trajectory that we’re headed. Yeah, overall, we’re feeling good.

Kelly Dorsey, Colleague, Global Tech Technologies: I wanted to ask a little bit on the change management and rollout of particularly emerging solutions, citing Estimate STP comes up a lot with this. Given how crucial the workflows are that like an Estimate STP is trying to solve for your customers, how do you manage rolling that out across what is a very sensitive area?

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: I think we’ve learned a lot, first and foremost, in the last 18 months. One of the most fundamental pieces of learning that we’ve had is the trust that you have to build for AI solutions is different from traditional, what I call deterministic software, right? Where I do X, I put in inputs of X, I get output of Y. That level of trust and change management has been very important. We’ve really spent a lot of time in gaining people’s trust and how that works, both in terms of our UIs and how this is integrated into these. The other thing we have also seen is a learning with our own customers. They’re saying, rather than just make the changes in place, I can complete, I can reshift my operation. I can think about this differently. I used to have seven different centers.

Now I can do this because of this capability. I could have a single center with a level of expertise that is more efficient and also delivers a very differentiated experience for my policyholder, right? We’re seeing that with repair facilities. Our multi-store operators, for example, we have one multi-store operator that uses JumpStart for literally 95% of their estimates. The consumer comes in, they’re doing billion plus dollars of repair. First thing they do is take the pictures, the AI writes in seconds, 80%, 90%, and then their people are using. As it’s been with one of them, they said, why won’t I use this tool for all my people? Now that’s at one end. Overall, as JumpStart, even at a repair facility, is still in the single digits, it’s increasing.

These are the early signs that we’re seeing of people changing the process to handle complexity, to get efficiency.

Brian Herb, CCC Intelligent Solutions Holdings Inc.: Maybe just a data point. Today, you know, Estimate STP, about 4% of our claim volumes is running through that channel. We have a top 10 carrier who are well committed to put 20% of their volume through that channel. They’re showing the signs that they’re operationalizing these tools and solutions that give us confidence that others will follow because it works. They’re seeing the benefit operationally as they scale these solutions.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, makes sense. The IX Cloud Platform was something you guys came out with to kind of increase, like kind of contribute to the vision of just increasing automation across the entire platform. Can you speak a bit to how that architecture has allowed you to deliver on some of these?

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Sure. The IX Cloud Platform, you know, think about it as a layer of fabric, if you would, that provides connectivity of workflows across customers and industry. It connects consumers, it connects insurance companies, it connects collision repair, it connects parts providers, it connects all of these. Underneath this is really an event management model that allows the AI to say, hey, based on this condition, I need to flag this vehicle. I’ll give you an example. There might be a vehicle at a repair facility. That vehicle should not be repaired. It’s a total loss. It is causing a lot of dysfunction for the repair facility, while it acts for the consumer and for the insurer. By spotting it very quickly and saying, this car should be moved immediately within three hours because it’s a total loss. It should not be repaired.

That’s an example of IX Cloud connecting different segments and using AI in the workflows to be able to make these decisions and make these movements. That will continue to extend across casualty, across all of these different capabilities. We’re pretty excited about it.

Kelly Dorsey, Colleague, Global Tech Technologies: Speaking of casualty, can you talk a bit about the EvolutionIQ acquisition, what that’s given you in casualty? We’d also love to walk through kind of what that means for the growth algorithm going forward and just kind of how you’re excited about continuing to roll that across your customer base.

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: EvolutionIQ was a very unique acquisition for us. We have a fantastic team where EvolutionIQ is highly differentiated, starting out with disability, right? Seven out of the top 15 disability carriers. I’ve personally gone out to the team to visit some of these carriers. The ROI is huge. It’s had a big impact. As the team has evolved, the next thing we’ve done with EvolutionIQ is a solution called MedHub. A lot of the medical, the ability to synthesize medical information, we’ve taken that and created a medical synthesis capability. That’s, we call it MedHub. It’s connected to our casualty operation. We are now integrating those capabilities into our casualty solution as well. If you think about a claim adjuster who might have 250 medical claims on a particular day, and each claim might have hundreds of pages, to go deep and extract the pieces, that’s been super helpful.

That’s the second piece. The third piece around EIQ is really workers’ compensation. Many of our customers, CCC traditional customers, for seven out of the top 10 have been CCC customers for a long time. They’re excited to now work with EIQ or workers’ comp, which is a huge area, again, relying on the underlying core principles of how do medical claims actually work.

Brian Herb, CCC Intelligent Solutions Holdings Inc.: To answer the question on the financial impact, when we get into next year, we’ve talked about EvolutionIQ adding about 2% of incremental growth to our long-term revenue target. We expect them to continue to contribute to the growth for a long period of time.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, makes sense. You guys have so many products in your portfolio, especially even just within the emerging solutions. Are there any kind of other products that you’d highlight? I know like subrogation, diagnostics, some of these other things that you’ve just been really impressed with over the past couple of months.

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: I would say, you know, bill sheets, I think we’ve talked about this. This is a product where it has become so intuitively obvious and the impact is so large. There’s almost zero change management. It just eliminates a lot of problems. That’s one that’s really taken off very nicely. Diagnostics, we’re continuing to add providers. We’re also starting to offer back office solutions for the repairs. We’ll continue to pick up more actively with even our OEM customers, car companies. There’s just a ton of different things. The key is a single overall focus on making sure that we are having an impact across the ecosystem.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, you talked a lot about claim volumes over the past couple of quarters. Not to spend too much time on it, what are you seeing currently with claim volumes and, on the growth algorithm? I know you’re not that exposed to it. Can you talk through a bit of the moving pieces of how you are exposed to claim volumes and how that makes you view the growth algorithm going into next year as well?

Brian Herb, CCC Intelligent Solutions Holdings Inc.: Yeah, absolutely. Our business is 80% subscription, so that part of the business does not have an impact or exposure on claim volumes. 20% is transactional, which does have some exposure to it. The 20% is really focused on our casualty solution, which has historically been a transactional business. It also has some of the smaller carriers who will pay transactionally, and then a percent of our parts business is on GMV, and that is transactional as well. That said, when we look at the claim volume, we saw 9% down year-over-year in claim volumes in Q1. It somewhat moderated to 8% down in Q2. That is driving about one point of a drag in our growth rate.

If you did the math and said, okay, 8% or 9% down on 20% of the business, it should be more like two points, but it’s really highlighting that where we’re seeing the claim challenge is more on the low-end claim, because it is not, we don’t believe it’s a frequency, an accident frequency point. We believe it’s a customer behavior point where consumers are filing fewer claims. When we talk about the higher-end claims on total losses or the higher-end claims on casualty, they’re not seeing the same impact. If you look at IFS data in Q1 of this year, casualty claims have actually grown. Our largest portion that’s transactional is casualty, and that is not seeing the same pressure as the rest of APD. That’s why it’s not perfectly correlated.

We are assuming in the guide that we’ll continue to see about a point of drag for the balance of the year, and that’s where we baked into the position. We’ll continue to monitor it as we go through the second half of the year and talk about how that will play into next year.

Kelly Dorsey, Colleague, Global Tech Technologies: We have a lot of conversations with investors on how to think about claim volume kind of longer term from a cyclical and a structural standpoint. It sounds like what’s happening now is a little bit more cyclical, but I think investors do have concerns that there are in the future going to be structural pressure on claim volumes. Can you talk a little bit about the autonomous vehicle landscape and kind of how that makes you think about claim volume?

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: I would say, you know, having watched this over about 30 years, with every new piece of technology, whether it’s front-end braking, whether it’s automatic braking, we’ve seen across the board. We think there’ll be a small gradual decline in claim frequency. Claim frequency, as Brian Herb pointed out today, is more of a claims not being filed issue. It’s not an underlying, our belief is it’s not an underlying frequency issue. Over time, we do think there’ll be back to the, you know, back to the version to mean small changes will continue. As you know, there’s about 250 million vehicles, the car part turning over, that’s literally years and years away. What we are also seeing on the flip side is the amount, the number of areas where we can have an impact with our solutions should far surpass any impact on claim frequency.

Solutions in casualty, in workers’ compensation, in disability, in parts ordering, there’s so many areas that we feel very good about our next three to five-year growth strategy.

Kelly Dorsey, Colleague, Global Tech Technologies: That makes sense. If we look past three to five years, I think there’s a couple of different things we can talk about, like international growth, payments maybe being a growth driver, expanding into other types of insurance. Can you talk a little bit about how you view those longer-term things and where you think that you would have differentiation in each of those categories?

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Sure. We are actually just updating our three-year plans, and we just finished a little bit of work in that area. We think, at the bottom line, we feel very, very good about the next three years to four years’ worth of growth. With Tim Welch coming on board, a lot of the thinking, a lot of the work he’s doing in terms of the markets, getting ready to really help our customers really execute. We feel very good about that. We’re also very confident with the tech stack we have, the deep understanding of our customers, which has always been the case. Look, I come from a time when we were $20 million in revenue, then we grew to $100 million, we grew to $200 million, $500 million, past $1 billion.

That ability to regenerate and understand customer problems and keep solving more, that’ll just be the nature of the beast. Except our growth numbers need to get larger and larger each year. We’re scaling up the management team, scaling up the organization to anticipate these changes. We think international fraud is so many other adjacencies that are very natural for us.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, that makes sense. As you’re kind of doing some of that initial planning going into next year, any kind of like one or two things you’re thinking about from the R&D organization, the go-to-market organization that you’re excited about?

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Sure. There are really two things that, when you look at our R&D capabilities, are super exciting, right? One is we’ve started to apply AI, you know, in a substantial way to writing software, building software. What used to take us two, three weeks to build prototypes with Figma and the like, we’re now doing that in two hours to three hours. The feedback loops that we’re seeing to be able to generate and show functional prototypes, that’s being applied across the board. We’re really excited about the changes there. At the same time, the changes we’re making in go-to-market in terms of how we approach our customers, that’s also being received very early as we think about the next five years. That’s also being received very well. Tim is, of course, deep in the middle of all of that.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, you talk about some of that like AI-driven, almost like leverage and productivity benefit. Does that change the way you think about structural margins longer term or how you kind of think like investors will view the long-term structural margins of vertical software in general? Maybe just to drive this point home, you said two things there. You said scaling, but then you also said AI efficiency. Nest that out for us on what it means from a margin scalability standpoint.

Brian Herb, CCC Intelligent Solutions Holdings Inc.: Yeah, I mean, we’ve talked about in our long-term guide, talks about about 100 bps of margin progression per year, and moving towards kind of our mid-term targets, getting our margins to about mid-40s, 45%. We feel really confident that we can do that, based on just the efficiency of the model that we have, but also these operational efficiency areas. Yeah, it gives us a lot of conviction on this 100 bps, allowing us to continue to invest in new areas and build out the portfolio, at the same time see margins progress. There’s no ceiling that sits on top of the mid-40s. We certainly could see pathways beyond that, but it’s just a target that we put out there for investors to understand kind of capabilities or the way we’ll run in over the next several years.

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Many of our operational teams are working with the latest tools in each of these areas. To Kelly, to your point, they’re pretty excited about it.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, I guess last one for me. We always go to your conference in May, a couple of months out from the next one, but anything you’re already getting excited about to spend time with customers at that conference?

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: I think that we are, at a very macro level, what we’re excited about as you think about the conference and where we’re coming up is really the ability to really help our customers really deliver a very differentiated experience, which is efficient and effective, by connecting all the different parts of the ecosystem, which we think we can uniquely do.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, Gabriela, let me say. Yeah, Githesh, I love that you brought up deterministic versus non-deterministic. Help us understand how do you think deterministic workflows fit with non-deterministic workflows? The balance here is you want the AI to be semi-autonomous such that it’s giving value, but you also need customers to be comfortable that the guardrails are in place. I would love to hear you talk about how you’re proposing it.

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Sure. Where that really comes to light, Gabriela, the singular point is the UI. What we’re seeing is the UI evolve to where, and we’re seeing that with EvolutionIQ, for example, the UI itself for an AI-driven solution is very different. Because it’s probabilistic, it asks a different set of questions. It doesn’t force you through the same workflow. Based on what the decisions are or not, it guides the user. This is why we call it guidance. Our next big evolution is AI-driven guidance. Guidance means we’re not going to ask you to do these 17 steps. Based on the conditions and how this shifts, we may say on this particular claim, on this particular day, for this particular vehicle, hey, think about these four actions. Your consumer has this, this, and this requirement. Think about these actions differently for that consumer. You couldn’t do that before.

You had to have the same workflow because you’ve got 25,000 people in your claims organization. That is what we’re really excited about. That’s where design of the UI/UX is really where we think this is going to come together.

Kelly Dorsey, Colleague, Global Tech Technologies: Fantastic. Githesh, Brian, thank you so much for joining us. Please join us in thanking the CCC team for their time.

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Thank you, Gabriela. Thank you, Kelly. Thanks a lot. We really appreciate being at your conference.

Kelly Dorsey, Colleague, Global Tech Technologies: Yeah, this was a lot of fun. We had some really interesting topics.

Githesh Ramamurthy, CCC Intelligent Solutions Holdings Inc.: Thank you. Thanks, I appreciate it.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.