AXIS Capital Holdings has appointed Rahil Jogani (pictured) to the newly created role of head of technology & artificial intelligence strategy. For brokers, the hire is worth reading alongside a specific data point: carriers investing seriously in AI-driven underwriting are already outperforming slower adopters on both loss ratio and growth.
Jogani will be based in the company's New York office and report to group chief operations officer Ann Haugh.
Jogani will be responsible for shaping AXIS Capital's enterprise technology and AI agenda, helping define the company's strategic priorities and advancing the adoption of AI and emerging technologies across the business. His remit includes identifying measurable business outcomes such as enhanced underwriting insight, claims analysis, portfolio management and risk selection advantage.
"Rahil brings direct, practical experience leading AI and technology-enabled transformations across a range of highly regulated global financial services companies," said Haugh. She said he also brings a proven ability to bridge the gap between experimentation and scaled impact, and that his experience working across business, technology and cross-functional teams would be an asset as AXIS continues to advance responsible, business-driven transformation.
Jogani joins AXIS from McKinsey & Company, where he spent 16 years and most recently served as a partner. While there, he advised leading global financial services companies on large-scale business transformation, helping organizations harness technology, data and AI to build practical operating and competitive advantages. He also served as the global leader of McKinsey's Technology Strategy, Performance & Transformation practice.
The appointment comes as AXIS continues to lean into US Excess and Surplus (E&S) lines and Lloyd's short-tail business as core growth engines.
The company's second quarter 2026 results showed diluted book value per share of $80.67, up 14.7% year over year and marking its 15th consecutive quarter of double-digit growth, alongside a 93% combined ratio.
Its Insurance segment posted 15% year-over-year growth in gross premiums written, reaching $2.2 billion, driven by new business across property, professional, marine and liability lines. AXIS has already flagged its "How We Work" operational efficiency program, which includes investments in technology and AI aimed at streamlining operations and boosting underwriting productivity, a mandate Jogani's new role is expected to help accelerate.
A March 2026 WTW survey of 59 P&C insurers across the US and Canada found that carriers using more sophisticated analytics and AI achieved combined ratios roughly six percentage points lower and premium growth three percentage points higher than slower adopters between 2022 and 2024. For brokers, that isn't just a technology-adoption statistic - it's a real, measured performance gap between carriers that are investing seriously in AI-driven underwriting and those that aren't. Carriers on the right side of that gap may become more competitive on price and appetite over time as their pricing precision improves, while carriers falling behind risk becoming less reliable partners for consistent, well-priced capacity. AXIS's decision to centralize AI strategy under a dedicated executive is a signal worth weighing when deciding which carrier relationships to prioritize and grow.
Separately, a Sixfold-commissioned study of 543 underwriting professionals across the US and Europe, nearly 38% of them in specialty E&S lines, found that a carrier's AI strategy is increasingly influencing where underwriters choose to work - which matters to brokers in a more practical, day-to-day way: underwriter turnover and talent quality directly affect submission turnaround time and consistency of decisions, so a carrier that's more attractive to strong underwriting talent is also likely to be a more reliable, faster-responding partner over time.
Document analysis, case analysis and submission ingestion remain the most common production use cases across the industry, though carriers are increasingly looking to combine multiple AI capabilities to redesign entire workflows rather than automate isolated tasks.
AXIS Capital's decision to create a dedicated technology and AI strategy role, reporting directly to its group chief operations officer, signals an intent to centralize AI governance and execution rather than leave adoption fragmented across business units.
Given the WTW survey's findings on the performance gap between AI-forward and slower-adopting carriers, that structural choice looks like a deliberate bet on translating AI investment into measurable underwriting and claims outcomes, rather than a symbolic org-chart addition.
For a specialty insurer built heavily around US E&S and short-tail Lloyd's business, bringing in an executive with McKinsey's transformation and technology strategy background suggests AXIS is positioning AI adoption as a company-wide operating model shift tied directly to its underwriting profitability goals, rather than a series of standalone technology projects.
