\n<\/p>\n
As a child growing up in Iran, Mojgan Lefebvre dreamed of becoming a doctor. But turbulent times in the Middle East nation led her to immigrate to the United States, where she took a pragmatic approach to planning for her future. The cost to study medicine felt too prohibitive, especially given that Lefebvre would fund her own education.<\/p>\n
\u201cHaving a strong math background, everybody told me I should go into computers,\u201d says Lefebvre. \u201cI had never seen a computer before in my life, but I decided to take the advice.\u201d<\/p>\n
Lefebvre was a quick study at Georgia Tech, where she earned her degree in computer science. She began her career as a software engineer at BellSouth, now part of telecommunications giant AT&T, served as a consultant at Bain & Company, and took on technology leadership roles with increasing levels of responsibility. She served as chief information officer at three different companies before becoming the chief technology and operations officer at Travelers Companies, the No. 99-ranked Fortune 500 insurer, in 2018.<\/p>\n
\u201cI would say in today\u2019s world, the CTO and CIO titles have become interchangeable,\u201d says Lefebvre. \u201cI\u2019m in charge of everything technology at Travelers, everything internal and external.\u201d<\/p>\n
Most recently, her efforts have focused on strategically mapping out and deploying the insurance giant\u2019s artificial intelligence strategy. Some of this work predates Lefebvre\u2019s time at Travelers, as the company had embedded machine learning and AI into its business for well over a decade. In 2020, Lefebvre created an AI-focused accelerator team, an enterprise-wide center of expertise that centralizes efforts on the technology.<\/p>\n
After ChatGPT\u2019s debut in November 2022, Travelers wanted to quickly put AI in the hands of its 30,000-plus employees. It launched TravAI, an in-house agentic AI platform intended to boost employee productivity, that integrates multiple generative AI tools with internal systems. Every employee can access TravAI after completing a training program.<\/p>\n
\u201cIt\u2019s taken away that fear that AI is here to take away my job,\u201d says Lefebvre.<\/p>\n
But Lefebvre says she doesn\u2019t want to rack up numerous, disparate AI use cases. The so-called \u201clet a thousand flowers bloom\u201d theory to allow dozens or even hundreds of AI pilots proliferate across the enterprise has fallen out of favor. As technology leaders hunt for a more clear return on investment, which has proven to be elusive for many, they\u2019ve gotten far more focused.<\/p>\n
CTOs and CIOs are focusing on fewer bets that have a greater ability to scale. At Travelers, that means spending more on AI tools that can improve claims, service management, and bolster the company\u2019s data and analytics capabilities. \u201cI don\u2019t think a thousand little things will add up,\u201d says Lefebvre.<\/p>\n
Already in 2026, Lefebvre has launched two new AI tools focused on those priorities. In January, Travelers and Anthropic announced that nearly 10,000 of the insurer\u2019s engineers, data scientists, analysts, and product owners would get access to Anthropic\u2019s personalized AI assistants to speed up software, analytics, and ML model development.\u00a0<\/p>\n
One month later, Travelers debuted its AI Claim Assistant, an agentic AI tool developed with OpenAI that can answer customer claim submission questions in a \u201cnatural, friendly\u201d tone similar to what they would expect from a human agent.<\/p>\n
When Travelers handles the first notice of loss, which is the initial report a policyholder makes to an insurance company regarding an accident or other incident that may result in compensation, around 50% have opted to go digital and record the claim in the Travelers app. Of the remaining half who choose to call, the default option is for them to talk to the AI Claim Assistant and so far, consumers are showing \u201ctremendous acceptance\u201d of these conversational AI capabilities.<\/p>\n
So far, Lefebvre\u2019s top external partners on generative AI have been Anthropic and OpenAI. \u201cIt\u2019s too early in the AI journey to do everything with one, so from the very beginning, we wanted to partner with the leaders in the area,\u201d she says. \u201cThere are certainly other players, but you also don\u2019t want to have ten different partners.\u201d<\/p>\n
With the conversational AI capabilities, Lefebvre felt that OpenAI was at the forefront, while Anthropic\u2019s analytical, coding, and engineering capabilities are considered to be \u201cabsolutely ahead of others.\u201d\u00a0<\/p>\n
Measurement of success varies across Lefebvre\u2019s AI bets. For claims, as an example, Travelers wants to reduce the time it takes to close a claim. Financial-related targets include efficiency gains across engineering and cost avoidance for any workflows that can be automated by AI. A third metric that Travelers tracks is adoption and \u201cempowerment,\u201d with the latter linked to the change management that the company wants to see in terms of embracing a new way to approach work.<\/p>\n
\u201cAnything that you don\u2019t measure can evaporate,\u201d says Lefebvre. \u201cYou absolutely have to have some commitments in your budgets and your plans. And if you don\u2019t do that, the benefits won\u2019t necessarily be realized, whether it\u2019s expense savings or growth.\u201d<\/p>\n
John Kell<\/strong><\/p>\n Send thoughts or suggestions to\u00a0CIO Intelligence here<\/em>.<\/p>\n A big week for Meta. <\/b>In its quest to catch up to OpenAI, Anthropic, and Google in the LLM race, Meta <\/span>unveiled Musk Spark<\/span> last week, the first AI model produced by its research unit Meta Superintelligence Labs. The Facebook and Instagram parent said that the model is competitive with the leading models from that trio, though it did not surpass them across the board, according to benchmark tests that Meta published. Separately, Meta <\/span>announced<\/span><\/a> a $21 billion commitment to cloud provider CoreWeave, with new spending set to run from 2027 to 2032, as Meta has also been building out its own AI infrastructure. The pair previously signed a <\/span>$14.2 billion deal<\/span><\/a> for computing power in September.<\/span><\/p>\n Amazon\u2019s annual shareholder letter again focuses on AI. <\/b>The Wall Street Journal<\/span><\/i> notes<\/span><\/a> that for three consecutive years, Amazon CEO Andy Jassy\u2019s <\/span>letter to investors<\/span><\/a> has been a fresh opportunity to highlight the tech giant\u2019s vision on AI. He acknowledges the debate over whether AI\u2019s technology may be over-hyped, whether the industry is in a \u201cbubble,\u201d and if profit margins and the return on invested capital will be appealing. It won\u2019t surprise anyone that his answers to those questions are: no, no, and yes. Amazon, after all, has committed $200 billion in capital expenditures in 2026 alone. Other notable technologies that got a shout out from Jassy include satellites, robotics, drone delivery, and rural connectivity.<\/span><\/p>\n OpenAI-Elon Musk court battle looms. <\/b>As the AI startup and tech entrepreneur gear up to go to trial on April 27, OpenAI in a <\/span>court filing<\/span><\/a> on Friday objected to the changing objectives that were filed earlier in the week by Elon Musk\u2019s legal team. Musk originally sued OpenAI and Microsoft in 2024 over claims related to the ChatGPT maker converting from a research nonprofit to a for-profit enterprise. But last week, Musk\u2019s lawyers said that any money he wins at trial should go back to OpenAI instead of him and that he wants the court to unwind OpenAI\u2019s conversion and force the ouster of CEO Sam Altman. OpenAI has said that these late proposals were \u201clegally improper and factually unsupported.\u201d <\/span>The Financial Times<\/span><\/i>, meanwhile, has recently <\/span>reported<\/span><\/a> that Musk has been losing cases in court.<\/span><\/p>\n All the swirl around Anthropic\u2019s new AI model.<\/b> Anthropic\u2019s latest AI model Mythos is making quite the splash\u2014more than most\u2014as cybersecurity experts have warned<\/a>\u00a0that the new model\u2019s ability to exploit software vulnerabilities could lead to more complex cyberattacks on legacy banking systems.<\/span>\u00a0<\/span>Fortune<\/span><\/i> reported<\/span> on the risks from a variety of vantage points: the concentration of AI power that\u2019s in the hands of a single company, how the U.S. government should think about policies to govern these new capabilities, and how other enterprises should react. The new model also comes as Anthropic is having what looks like, on paper, to be a pretty stellar year. The company has hit a $30 billion annual recurring revenue run rate and is <\/span>reportedly planning<\/span> to launch an initial public offering this year.<\/span><\/p>\n Trust barriers are slowing AI adoption.<\/b> Nearly six in ten companies acknowledge that they have stalled AI projects, with the biggest barriers preventing adoption including concerns about data privacy and security (34%), explainability (30%), model transparency (28%), and regulatory uncertainty (27%), according to a recent <\/span>study<\/span><\/a> of 2,000 leaders across the U.S. and U.K. commissioned by software company Gong.<\/span><\/p>\n Chris Peake, chief trust officer at Gong, tells <\/span>Fortune<\/span><\/i> that the study found very little variation in AI-related trust concerns across both regions. He advised that enterprises and AI vendors need to be more communicative at the beginning of a new project to set clear parameters about how data is used, how large language models work, and what security protocols are in place. Alleviating those concerns is especially critical in highly regulated industries like financial services and healthcare, Peake added.<\/span><\/p>\n \u201cRather than wait, just fuel the front end of exploration,\u201d says Peake. \u201cLet people dive in and use it.\u201d<\/span><\/p>\n Some of the top assurances that leaders were looking for, according to the study, include explainability and the ability to articulate AI-derived outputs (26%), the ability to explain AI model guardrails protecting data (25%), built-in security guarantees (23%), and third-party audits or certification (23%).<\/span><\/p>\n Courtesy of Gong<\/p>\n Hiring:<\/strong><\/p>\n – <\/span>Polsinelli <\/b>is <\/span>seeking a CIO<\/span><\/a>, based in Kansas City. Posted salary range: $350K-$525K\/year.<\/span><\/p>\n – <\/span>National Life Group <\/b>is <\/span>seeking a CTO<\/span><\/a>, based in Montpelier, Vermont. Posted salary range: $300K-$440K\/year.<\/span><\/p>\n – <\/span>SMX <\/b>is <\/span>seeking a SVP of technology strategy<\/span><\/a>. Posted salary range: $246.1K-$393.8K\/year.<\/span><\/p>\n – <\/span>Goodr <\/b>is <\/span>seeking a VP of technology<\/span><\/a>, based in Los Angeles. Posted salary range: $195K-$220K\/year.<\/span><\/p>\n Hired:<\/strong><\/p>\n – <\/span>Autodesk<\/b> appointed<\/span><\/a> Mike Kelly as CIO, effective April 13, leading enterprise technology strategy, AI adoption, and the digital employee experience for the design software company. Most recently, Kelly served as operating partner and the first CIO at the venture capital firm Andreessen Horowitz. He also previously held CIO roles at Red Hat and McKesson.<\/span><\/p>\n – <\/span>Pep Boys <\/b>announced<\/span><\/a> the appointment of <\/span>Nik Umrani as CIO. Before joining the automotive services provider, he served as global CIO at NSM Insurance Group. Umrani has also held senior leadership roles at Comcast, ADT, and Verizon Communications.<\/span><\/p>\n – <\/span>SailPoint <\/b>appointed<\/span><\/a> Levent Besik as chief product officer, where he will lead the security software company\u2019s product organization and report to CTO Chandra Gnanasambandam. Most recently, Besik served as VP of product management for Microsoft\u2019s identity division. He also held executive product leadership roles at Okta and Google.<\/span><\/p>\n – <\/span>TAP Real Estate<\/b> named<\/span><\/a> Jeff Jarrard as CTO, where he will lead the buildout and development of the real estate company\u2019s website, focused on homeowner reporting, property valuation, and cloud-based home management. Jarrard spent more than 12 years at Microsoft in senior roles across applied AI, data science, and product management. He also worked at Washington Mutual Bank.<\/span><\/p>\nNEWS PACKETS<\/h3>\n
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