VRSKVerisk Analytics, Inc.
AI adoption · Q1 2026 earnings call
IndustrialsScaling
17
extracted from this call
4 / 5
quantified with specifics
Not disclosed
no breakout in this call
AI was a central theme of Verisk's Q1 2026 call, with CEO Lee Shavel describing accelerating client engagement, a growing pipeline of AI proof-of-concepts, and a landmark RFP win to co-develop a next-generation agentic underwriting platform for a global insurance firm. Management highlighted AI-driven products (digital media forensics, augmented underwriting) and positioned Verisk's proprietary contributory data as a critical enabler of client AI strategies. However, no specific AI revenue figures were disclosed; management characterized AI's financial impact as a long-term opportunity and described near-term margin effects as roughly neutral due to simultaneous investment and productivity gains.
Adopter
See full leaderboard →70/ 100
78
stage: scaling · max spec: 4
55
3 quant outcomes
85
3 scopes
product_embeddedproduct_standaloneinternal_use
17 AI mentions from this call.
Extracted verbatim from the VRSK Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T4Prepared remarks· CEO· Product-embedded AI
“Client adoption has been strong with our enhanced aerial imagery offerings, growing revenue more than 30% over the last 2 years. We have additional innovations, which are slated for introduction this year, including wind and hail peril scores and remaining [indiscernible].”
— Lee Shavel, VRSK earnings callaerial imagery analytics, roof age, wind and hail peril scores - T3Prepared remarks· CEO· Standalone AI product
“AI featured prominently across the education program with 23 sessions covering AI-driven product innovation and the role of AI across underwriting, catastrophe modeling life and annuities, specialty lines and core platforms. These sessions were the most attended, including hundreds of clients representing a wide range of scale from large global multiline carriers to regional and small carriers. In the [ solutions gallery ], the AI showcase focused on 5 workflow-based AI demos, reflecting how we're scaling practical AI in our underwriting, catastrophe and risk and specialty business areas.”
— Lee Shavel, VRSK earnings call - T3Prepared remarks· CEO· Standalone AI product
“within our anti-fraud business, our digital media forensics is an AI-powered solution that automates anomaly detection in photos and documents, a growing source of fraud risk for the industry. This innovation reinforces our position as a key partner in fraud analytics, and highlights our scale and ability to organically build new contributory data sets, to help the industry address a growing challenge. Through innovation, we are driving growth in a heavily penetrated business. And in fact, just this quarter, we on-boarded the sixth top 10 carrier to the digital media forensics platform.”
— Lee Shavel, VRSK earnings calldigital media forensics - T3Q&A· CEO· Standalone AI productLee, you mentioned this, I think, underwriting platform that you're developing with 1 client, not sure to what degree that was disclosed already. But can you maybe flesh out what exactly you're doing there?
“the project is to work with them on restructuring, reimagining their underwriting process. Integrating a range of our data sets as well as agentic technologies that we are providing on the underwriting side to be able to improve the efficiency and the effectiveness of that underwriting process. And that came after an RFP of a large number of potential clients some from the technology side, some from the software side, some from the AI side. But it was our familiarity with the process our data governance elements, and they're comfort with our knowledge and expertise on it that drove it.”
— Lee Shavel, VRSK earnings call - T3Prepared remarks· CEO· Standalone AI product
“Verisk was the winner of a competitive RFP process to be the strategic partner of a global insurance firm to support the creation of a next-generation digitally native underwriting entity. Verisk will contribute its established data, actuarial and analytics capabilities alongside a growing suite of AI-driven platforms and marketplace solutions to codevelop the operating model. This opportunity reflects continued momentum in commercializing Verisk's multiyear investments in agentic technologies, and expanded role in enabling innovation across the insurance value chain.”
— Lee Shavel, VRSK earnings call - T3Q&A· CEO· Product-embedded AII wanted to go back to, kind of like, the channel conversation on the AI product front. It sounds like a lot of options here.
“our ability to adapt prior to this to more API-driven access to our data sets has facilitated our ability to tie that to MCP, or model context protocol applications, that have been the primary channel for agent applications and even [ more ] language models.”
— Lee Shavel, VRSK earnings call - T3Prepared remarks· CEO· Standalone AI product
“we already have over 20 follow-up meetings set up related to augmented underwriting. That said, in certain cases, we are seeing an extended sales cycle related to the more complex contracting to incorporate AI governance and compliance.”
— Lee Shavel, VRSK earnings callaugmented underwriting - T2Q&A· CEO· Standalone AI productWhere do you see [indiscernible] margin or top line opportunity brought by your own AI investment?
“if we think about where it can be most impactful. And we look at what the industry is trying to achieve, one of their top objectives is increasing productivity. Whether it's for an underwriter, or an agent, or a claims professional. And that's where I think we can accelerate and support that productivity objective. It's an area where in other parts of our business when we have been able to demonstrate productivity improvement, for instance, with a claims adjuster, or a claims estimator that demonstrates real value for them because they can accomplish more faster, that becomes a clear path to value realization and our ability to participate in that value realization.”
— Lee Shavel, VRSK earnings call - T2Q&A· CEO· Product-embedded AIThere was a comment, Lee from you in the prepared remarks about extended sales cycles for some AI solutions. I just want to make sure I'm understanding what you're trying to convey there correctly.
“as we are pursuing these specific AI opportunities. And even the -- our existing contracts, AI is an element where both our clients and we need to be thoughtful about intellectual property, the issues related to that privacy issues associated with that. And so it has added an additional complexity in negotiating and adapting our contracts to those specific purposes. And so I think we have seen in these larger contract renewals, we're having to spend some more time working our way through these issues.”
— Lee Shavel, VRSK earnings call - T2Prepared remarks· CEO· Product-embedded AI
“We are also engaging with many of our large clients regulators and the frontier model companies on partnership opportunities to leverage our data and insights. A key focus for all parties is accountability, transparency, governance and protection of intellectual property. Based on our interactions with several frontier model companies, it is clear that they recognize the importance of leveraging not just proprietary data sets, but also deep industry-specific knowledge and established workflows”
— Lee Shavel, VRSK earnings call - T2Q&A· CEO· Product-embedded AII was hoping you could talk about how you see the monetization model for that type of situation.
“our clients have moved on an experimentation in an exploration phase in 2025 to realizing that integrating these data sets into what they're doing and their functions is going to create value, but they need that greater data [indiscernible], better data quality and partnership between us their objectives and technology providers, both on the Frontier AI model companies, as well as in some cases, the infrastructure or policy administration system partners.”
— Lee Shavel, VRSK earnings call - T2Q&A· CFO· Internal useWhere do you see [indiscernible] margin or top line opportunity brought by your own AI investment? And any thoughts around sizing that top line margin outside from AI would be really hopeful.
“On the margin, we do see -- we are seeing the benefit of efficiency and productivity on our software and development teams, on our data ingestion and others. We're also, at the same time, investing in the new technology and in our data to build the AI ready and the MCP solutions that we're excited about. So I would say for the time being, we see it as a push on the margin and is embedded in our guide of gradual margin expansion for the year.”
— Elizabeth Mann, VRSK earnings call - T2Prepared remarks· CEO· Product-embedded AI
“I'd note in an [ A.M. Best ] report on AI and insurance released this week surveyed insurers identified data readiness as the top impediment to AI implementation even ahead of security and privacy. Companies are keenly focused on how they can partner with Verisk and capitalize on our robust and proprietary data sets through this significant technology transformation.”
— Lee Shavel, VRSK earnings callA.M. Best - T2Q&A· CEO· Product-embedded AIYou talked a bit earlier regarding a contract renewal and embedding the different aspects of AI into the negotiations.
“the profitability that we've seen in terms of significantly improved combined ratios for the industry is creating a level of profitability that, on the one hand, is -- creates, I think, an opportunity for them to invest a little bit more heavily in technology, coming at a time where there is more demand for data and analytics and AI to be applied to it.”
— Lee Shavel, VRSK earnings call - T2Q&A· CEO· Product-embedded AILee, you talked in the prepared remarks about clients wanting to use your data and capabilities in their internal AI strategies, which makes a lot of sense given your proprietary data. I was hoping you could talk about how you see the monetization model for that type of situation.
“the monetization opportunity for us is going to be rooted in the fact that the application of AI [indiscernible] come from client developed solutions, frontier model companies, our integration of generative AI, or agentic AI, all driven off of that -- off of the data sets that we are providing on a structured, clean industry-wide basis.”
— Lee Shavel, VRSK earnings call - T2Prepared remarks· CFO· Internal use
“This level of margin expansion reflects the operational leverage of our business model, and our ongoing commitment to cost discipline, including global talent optimization, offset in part by increased investment in AI and technology.”
— Elizabeth Mann, VRSK earnings call - T2Q&A· CFO· Product-embedded AIjust wondering if you can talk about the sustainability of the subscription OCC revenue growth.
“strong subscription growth across our portfolio in the Catastrophe and Risk Solutions business, in the Property and Restoration solutions business as carriers continue to see the value and the AI enhancements driven on the solutions.”
— Elizabeth Mann, VRSK earnings callCatastrophe and Risk Solutions, Property and Restoration Solutions
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- Management declined to size AI revenue contribution on the top line despite a direct analyst question from Kelsey Zhu (Autonomous); CFO stated 'we haven't sized it on the top line' and characterized it as a 'long-term opportunity.'
- The identity of the global insurance firm for which Verisk won the agentic underwriting RFP was not disclosed.
- No specific ARR, bookings, or contract value was disclosed for the agentic underwriting platform win.
- No quantification of productivity gains from internal AI use (software development, data ingestion) was provided.
- No detail on the number or identity of frontier model companies Verisk is in discussions with.
- Extended AI sales cycle impact on near-term revenue was flagged qualitatively but not quantified.
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