Reliance Global Group has appointed Judah Korman as chief operating officer, Zack Wilder as chief technology officer and Mordy Beyman as executive vice president, reshaping its leadership around a dual AI strategy that pairs accelerated agency acquisitions with the buildout of AI-native insurance products. The Nasdaq-listed insurtech also added two engineers to Wilder's newly formed AI product development team, alongside Moshe Fishman, who was previously named senior vice president of Insurtech.
Korman brings a decade of experience founding and exiting technology companies, including a mobile logistics marketplace that was acquired, and has worked in private equity analyzing leveraged buyouts. Wilder arrives with fintech engineering leadership from Coinbase and Capital One, where he built core financial and authentication infrastructure. Beyman's EVP title formalizes a role he has filled in practice, having shaped the company's long-term strategic direction. The appointments place technical and dealmaking expertise directly inside the C-suite at a moment when insurers are investing heavily in machine-driven underwriting and distribution.
These executive moves put AI for Executives & Strategy front and center. Reliance is pursuing two parallel tracks with AI as the connecting architecture. The first is an AI-powered agency acquisition roll-up that automates back-office workflows, improves coverage routing and pulls compounding value from each acquired agency's data. The second track develops AI-native insurance products for mass-market distribution - policies designed from the start around AI-driven risk selection, pricing and conversational quoting and binding workflows, not retrofitted versions of existing products.
CEO Ezra Beyman said: "We started by embedding technology into the agency model, and the results validated that thesis. Now we are going further: running our acquisition roll-up through an AI backbone and investing in insurance products that we believe AI has made possible for the first time."
A consolidating market where speed matters
Firms announced 695 insurance agency mergers and acquisitions in 2025, a 12% decline from the prior year, with the number of unique buyers dropping to 95, according to OPTIS Partners. More than 30,000 independent agencies generate under $1.25 million in annual revenue, and most lack internal perpetuation paths. Reliance argues its model differs from conventional consolidation by using automation to shorten integration timelines and improve acquisition economics, with each added agency feeding proprietary data that strengthens platform performance across the network.
AI-native product development draws capital
Insurtech funding rebounded 19.5% year over year to $5.1 billion in 2025, the first annual increase since 2021, Bloomberg data shows. Wilder's mandate is to build the product architecture and scalable infrastructure for AI-native coverage. His experience on regulated financial platforms is relevant in a sector where generative AI adoption has surged. A Conning 2025 industry survey found gen AI adoption among insurers jumped close to 100% year over year, with 55% reporting early or full deployment. Yet only 16% of property and casualty insurers currently use AI to augment human underwriting, even as 60% plan to prioritize it by 2028. That gap reflects a large opportunity for AI for Insurance to reshape risk selection and pricing.
Wilder said: "Insurance is in a similar position today to where Capital One was when I joined. AI is now mature enough to do more than automate workflows. It can reimagine what an insurance product looks like, how it is priced, and how it reaches a customer."
Regulatory scrutiny intensifies with AI expansion
Building AI-native insurance products across a national distribution network places any company into a patchwork of state oversight. The National Association of Insurance Commissioners launched a multistate pilot of an AI Evaluation Tool running January through September 2026, with twelve states testing a structured framework for reviewing insurer AI systems during market conduct exams. By late 2025, 23 states and Washington, D.C., had adopted the NAIC's AI Model Bulletin, which requires governance, documentation and audit procedures. Colorado, Utah and California have passed their own AI transparency and consumer protection legislation that applies to insurers, raising the compliance bar for any firm embedding AI into core product functions.
Why this matters for insurance professionals
Reliance's dual-track structure signals what a growing number of well-funded acquirers will attempt: using AI not as a cost-reduction tool but as the organizing principle for portfolio growth and product invention. For agency principals considering a sale, the emergence of buyers who automate integration and value data aggregation could change valuation conversations. For underwriters and product managers, the shift toward AI-native policy design - with conversational quoting and machine-driven pricing - means the skills required to build and oversee products will look different within three to five years, and regulatory expectations are hardening in parallel.
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