MRSHMarsh & McLennan Companies, Inc.
AI adoption · Q1 2026 earnings call
FinancialsScaling
21
extracted from this call
4 / 5
quantified with specifics
Not disclosed
no breakout in this call
AI was a central theme of the call, with CEO John Doyle articulating a three-pillar strategy (growth, productivity, efficiency) and asserting Marsh will be an 'AI winner.' Multiple business unit CEOs provided specific use-case examples across claims advocacy, document ingestion, health consulting, and private capital diligence. Management disclosed some operational metrics (e.g., 20% efficiency improvement in document ingestion, 50% sales velocity increase in pilot, 2 million AI prompts/month at Marsh Risk) but declined to quantify AI spending or revenue contribution.
Adopter
See full leaderboard →70/ 100
78
stage: scaling · max spec: 4
55
4 quant outcomes
85
3 scopes
product_embeddedproduct_standaloneinternal_use
21 AI mentions from this call.
Extracted verbatim from the MRSH Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T4Q&A· Other· Product-embedded AICurious a couple of your peers have talked about the Claims Advocacy Group, and they've offered some stats around the how the Claims Advocacy Group has made sure your clients get their claims paid in a timely manner. Just curious if you see that as one of the bigger value adds and if yes, if there's any stats or anything you'd like to share?
“we've rolled out tools to aid coverage gap analysis and quote comparison across our risk management and the Marsh agency businesses. And in the areas where we pilot that, we see the amount of work that, that takes off our client teams drive a 50% increase in sales velocity in the pilot. And we think some of that gain is scalable across the whole organization.”
— Nicholas Studer, MRSH earnings call - T4Prepared remarks· CEO· Standalone AI product
“Oliver Wyman's AI Quotient team created to help clients deploy their own AI strategies is its fastest-growing practice. We're advising clients in multiple sectors, such as banking, energy, government and manufacturing around AI and workforce transformation. We've already advised on more than $50 billion of capital investment in AI deployment.”
— John Doyle, MRSH earnings callAI Quotient - T4Q&A· Other· Product-embedded AICurious a couple of your peers have talked about the Claims Advocacy Group, and they've offered some stats around the how the Claims Advocacy Group has made sure your clients get their claims paid in a timely manner. Just curious if you see that as one of the bigger value adds and if yes, if there's any stats or anything you'd like to share?
“if you take an example like Claims IQ, which is our AI-enabled toolkit, we've got several thousand colleagues now drawing an AI-enabled analysis of almost $200 billion of loss information, which helps them support much better advice decision-making and advocacy.”
— Nicholas Studer, MRSH earnings callClaims IQ - T4Prepared remarks· CEO· Internal use
“our document ingestion capability is now handling thousands of documents weekly already improving efficiency in these processes by 20% and enhancing the quality of the data and its usability to further support clients with valuable insights.”
— John Doyle, MRSH earnings call - T4Q&A· Other· Product-embedded AICurious a couple of your peers have talked about the Claims Advocacy Group, and they've offered some stats around the how the Claims Advocacy Group has made sure your clients get their claims paid in a timely manner. Just curious if you see that as one of the bigger value adds and if yes, if there's any stats or anything you'd like to share?
“up to more than 2 million prompts a month. So that helps productivity across the organization.”
— Nicholas Studer, MRSH earnings call - T3Q&A· Other· Product-embedded AICurious a couple of your peers have talked about the Claims Advocacy Group, and they've offered some stats around the how the Claims Advocacy Group has made sure your clients get their claims paid in a timely manner. Just curious if you see that as one of the bigger value adds and if yes, if there's any stats or anything you'd like to share?
“we're evolving these into what we call the Marsh risk companion, which will help clients understand and analyze their risks and their options across a wider range of their activities. But what's really crucial about the suite of tools is they're now all feeding off a new analytics engine. It's built from the ground up to leverage AI at scale. One of the things here is you're able to leapfrog with AI. And we call it the Marsh Risk cortex, but it really pulls together everything we need from our massive data sets and our most advanced models.”
— Nicholas Studer, MRSH earnings callMarsh Risk Companion, Marsh Risk Cortex, Blue[i], Centrus - T3Q&A· Other· Product-embedded AICurious a couple of your peers have talked about the Claims Advocacy Group, and they've offered some stats around the how the Claims Advocacy Group has made sure your clients get their claims paid in a timely manner. Just curious if you see that as one of the bigger value adds and if yes, if there's any stats or anything you'd like to share?
“GC Quotebox, which is an AI-driven document ingestion tool. This is really a game changer for Guy Carpenter in our business. We get huge quantities of unstructured data from our clients, and this tool helps us ingest all of that data and makes it more efficient to match risk and capital through this tool, which will certainly improve turnaround times, make our teams, our brokers more efficient and deliver better turnaround times and more efficiency for our clients.”
— Dean Klisura, MRSH earnings callGC Quotebox - T3Q&A· Other· Product-embedded AICurious a couple of your peers have talked about the Claims Advocacy Group, and they've offered some stats around the how the Claims Advocacy Group has made sure your clients get their claims paid in a timely manner. Just curious if you see that as one of the bigger value adds and if yes, if there's any stats or anything you'd like to share?
“Mercer Fiber is one of the tools where we're leveraging the broader AI stack that we have at Marsh to kind of further enable our existing digital tools. So health consultants leverage fiber when they're working directly with the client. It enables them to have these real-time iterative discussions on all aspects of their benefit programs, an incredibly powerful scenario planning and modeling during strategy sessions.”
— Patrick Tomlinson, MRSH earnings callMercer Fiber - T3Prepared remarks· CEO· Internal use
“Our second pillar is productivity, which focuses on deploying AI capabilities to boost the performance of our colleagues. This is showing up in hundreds of different ways across a wide variety of roles. A good example of our work is to embed AI our client management tools and to develop AI agents to help colleagues source and prequalify leads to support sales productivity.”
— John Doyle, MRSH earnings call - T3Q&A· Other· Product-embedded AICurious a couple of your peers have talked about the Claims Advocacy Group, and they've offered some stats around the how the Claims Advocacy Group has made sure your clients get their claims paid in a timely manner.
“The first application is powered by the risk cortex, including our renewal companion, our captives companion, they're going to be launched in a couple of weeks at RINs. And then you should expect to see more flowing from that data set and analytical tower.”
— Nicholas Studer, MRSH earnings callMarsh Risk Cortex, renewal companion, captives companion - T3Prepared remarks· CEO· Internal use
“in our policy renewal center, AI has enabled us to transform a traditionally manual e-mail heavy process into a streamlined digital solution in weeks, a project that otherwise would have taken many months.”
— John Doyle, MRSH earnings call - T3Prepared remarks· CEO· Internal use
“We have deployed agentic AI in our IT help desk, significantly reducing inquiries, improving colleague experience and creating downstream efficiencies in our support centers.”
— John Doyle, MRSH earnings call - T3Prepared remarks· CEO· Internal use
“we recently used AI to turn a legacy tool into a newly designed broker workbench in days saving months of team effort.”
— John Doyle, MRSH earnings call - T2Prepared remarks· CEO· Product-embedded AI
“I'd like to take a moment to discuss our AI strategy and why we believe Marsh will be an AI winner. Our strategy leverages our scale and capacity to invest in AI to drive even greater value from our proprietary data assets and our role as our clients' trusted adviser. We are focused on 3 main pillars. The first is growth. We are building AI-enabled applications and services that are generating new revenue streams as well as enhancing world-class capabilities and data-driven insights in insurance, health, human capital and investments.”
— John Doyle, MRSH earnings callADA, Centrus, UCLI, GC Quotebox - T2Q&A· CEO· Internal useI'm just curious how, if at all, AI is changing the M&A strategy. Are you staying away from certain businesses pivoting towards others and have your technology requirements or anything else changed?
“I'm hopeful that actually the scale benefits that we bring to investing in AI and the data sets and client relationships and all the advisory work will create opportunities for us to consolidate smaller brokers over time who are going to struggle to compete and to invest in these technologies.”
— John Doyle, MRSH earnings call - T2Q&A· Other· Standalone AI productCurious a couple of your peers have talked about the Claims Advocacy Group, and they've offered some stats around the how the Claims Advocacy Group has made sure your clients get their claims paid in a timely manner. Just curious if you see that as one of the bigger value adds and if yes, if there's any stats or anything you'd like to share?
“our AI platform Quotient is our fastest-growing capability right now. And AI is developing into a very large opportunity for us as a consulting business that works on strategy and transformation.”
— Ted Moynihan, MRSH earnings callQuotient, Quotient Diligence - T2Prepared remarks· CEO· Internal use
“AI-enabled savings will fuel additional growth investments, including in producer talent and new capabilities while building our confidence in continued margin improvement.”
— John Doyle, MRSH earnings call - T2Prepared remarks· CEO· Customer demand signal
“cyber risk, certainly accelerating with AI, the frequency of extreme weather and how much more of the economy and society is exposed to those events.”
— John Doyle, MRSH earnings call - T1Q&A· CEO· Internal usecould you just remind us how much you guys are spending on AI just broadly within the tech budget. And I guess, who are you partnering with? What LLM providers are you partnering with? What tools are you using?
“We work with lots of different providers. So we're -- and I think one of the things about AI is it's of a lot of different things. There are many different possibilities for us to to extract value from these new technologies. So it's not about pick a hyperscaler and plugging them into our data set and it all of a sudden solving every inefficiency or productivity opportunity that exists in the world. And so we're working with a number of different major tech players and trying to pick and choose where we see the greatest value depending upon what it is we're trying to accomplish.”
— John Doyle, MRSH earnings call - T1Q&A· CEO· Product-embedded AIwith your margin results being so high, curious about the risks of AI disintermediation across the various businesses that you have?
“we've competed with early-stage tech-enabled startups for a long time. We've competed with direct insurers for a long time and competed successfully with them. When I think about the attributes that we have is that we're in the early days of what's possible around AI, our trusted client relationships matter. Our data matters, our modeling, it matters, our ability to advise on risk, not just by insurance, really matters.”
— John Doyle, MRSH earnings call - T1Prepared remarks· CEO· Product-embedded AI
“AI will help us serve our clients who have bespoke and complex needs even better. It will not replace the trusted advice, expertise and capabilities with which we deliver value to clients.”
— John Doyle, MRSH earnings call
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.
- Declined to disclose total AI spending or AI's share of the technology CapEx budget despite direct analyst question from David Motemaden (Evercore ISI).
- Declined to name specific LLM or hyperscaler partners despite direct analyst question from David Motemaden (Evercore ISI); only stated 'we work with lots of different providers.'
- No quantification of AI revenue contribution or ARR from AI-enabled products despite multiple AI product names cited (ADA, Centrus, UCLI, GC Quotebox, Claims IQ, Marsh Risk Cortex, Mercer Fiber, Quotient).
- The 50% sales velocity increase in coverage gap analysis pilot was not confirmed as rolled out at scale; management noted 'some of that gain is scalable across the whole organization' without committing to a timeline or magnitude.
- No disclosure of headcount impact (reductions or redeployments) attributable to AI automation despite efficiency claims.
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