InsurTechTalk

Gilad Shai
  • 5,0 (3)
  • Kinh Doanh
  • Hai tuần một lần

Welcome to InsurTechTalk, the premier podcast where industry titans and trailblazers converge to unravel the fascinating world of InsurTech. Join us for insightful discussions, gripping interviews, and thought-provoking analyses with entrepreneurs, founders, investors, and executives at the forefront of the insurance and technology revolution.

  1. AI as a "Safety Net" for Claims Adjusters: Inside CLARA Analytics with CEO Heather Wilson

    9 giờ trước

    AI as a "Safety Net" for Claims Adjusters: Inside CLARA Analytics with CEO Heather Wilson

    What if AI's role in insurance claims isn't to replace the adjuster — but to be a second set of eyes that never gets tired?Heather Wilson, CEO of CLARA Analytics, joins InsurTechTalk episode 159 to explain how her company's claims AI platform — trained on roughly 10 million claims over a decade — surrounds every workers comp, auto liability, and general liability case 24/7, looking for anything that could take it off course. The result: earlier detection of severity changes, better provider matching, litigation risk flags, and millions in reserving corrections that adjusters often miss simply because cases sit untouched for 90 days at a time.In this episode:• How CLARA's AI models learn from adjuster notes and documents — not just structured data fields (which are often filled out poorly)• The real story of a "finger cut" that escalated to an amputation, and how AI caught the severity shift before a human did• Why CLARA frames its AI as "augmented intelligence" — a safety net, not a replacement — and how that framing drives adoption• The change management playbook for getting senior adjusters to trust (and act on) AI alerts• How CLARA works across the entire insurance ecosystem — carriers from tier one to tier five, TPAs, self-insured corporates, and brokers who white-label CLARA's platform• Why "data orchestration" — not data ownership — is CLARA's real competitive moat• The hard truth about selling claims improvement: "we'll make you more profitable without increasing revenue" is one of the toughest pitches in insurance• Multi-tenant data contribution: how anonymized, aggregated industry data benefits every carrier on the platformHeather's vision for the future: connecting claims intelligence directly to actuarial and policy intelligence — closing the loop between the "left hand and right hand" of insuranceA grounded, practical look at what AI actually does inside a claims shop today — not hype, not science fiction, just better outcomes for claimants, carriers, and employers.🔗 Learn more about CLARA Analytics: https://www.claraanalytics.com/InsurTechTalk is the podcast for insurance professionals, InsurTech founders, and anyone who wants a no-BS look at where the industry is headed.🔔 Subscribe for new episodes every week.

    37 phút
  2. Why AI in Insurance Isn’t Ready Yet | FrontRace’s Jack Siney

    24 thg 5

    Why AI in Insurance Isn’t Ready Yet | FrontRace’s Jack Siney

    AI is everywhere in insurance right now — but is the industry actually ready for it?In episode 157 of InsurTech Talk, Gilad Shai sits down with Jack Siney, co-founder and CRO of FrontRace, to discuss the gap between AI hype and operational reality.Jack explains why most insurance organizations still struggle with disconnected systems, weak data infrastructure, outdated workflows, and incomplete sales processes — and why simply “adding AI” will not solve those problems.The conversation explores:• Why today’s AI adoption resembles the AOL era of the internet• The hidden operational inefficiencies inside insurance organizations• Why most sales and distribution processes are poorly documented• The difference between automation and true operational intelligence• How AI can uncover why top producers outperform everyone else• Why insurers should focus on data readiness before buying more AI tools• The future of AI-driven sales management and underwriting workflowsA practical conversation for insurers, agencies, MGAs, founders, operators, and investors trying to separate real AI value from noise.Subscribe for more conversations with founders, carriers, brokers, investors, and operators shaping the future of insurance and insurtech.#InsurTech #Insurance #AI #ArtificialIntelligence #SalesTech #DigitalTransformation #InsuranceTechnology #EnterpriseAI #Innovation #Underwriting

    36 phút
  3. From Citadel Quant to Insurance CEO: How Arbol Is Rewiring Climate Risk Coverage

    24 thg 5

    From Citadel Quant to Insurance CEO: How Arbol Is Rewiring Climate Risk Coverage

    What if insurance could pay out automatically — no adjuster, no claim dispute, no waiting? Sid Jha, CEO of Arbol, left a career trading commodities at Citadel to build exactly that. In Episode 158 of InsurTechTalk, Sid breaks down how Arbol went from a blockchain white paper in 2018 to a vertically integrated insurance platform spanning MGAs, a property carrier, and reinsurance — all purpose-built for climate-sensitive risks that legacy carriers are quietly retreating from.In this episode:- Parametric vs. traditional insurance — and why the old "basis risk" critique is stale- How Arbol underwrites climate risk using satellite data, AI, and quant methods- Why parametric is a bridge to alternative capital (hedge funds, tokenized funds, and beyond)- The vertical integration journey: MGA → MGU → carrier acquisition (Centuri, 2024)- Tokenized insurance risk — the original white paper vision that's finally becoming real- How Arbol approaches distribution in a market most brokers didn't know existed- The truth about climate risk: it's far more regionally varied than headlines suggestA rare conversation at the intersection of Wall Street, InsurTech, and climate — with someone who's been building quietly at that crossroads for nearly a decade.🔗 Learn more about Arbol: https://www.arbolmarket.com/🔗 Connect with Sid: https://www.linkedin.com/in/siddhartha-jha-ba4b7534/InsurTechTalk is the podcast for insurance professionals, InsurTech founders, and anyone who wants a no-BS look at where the industry is headed.🔔 Subscribe for new episodes every week.

    40 phút
  4. Surety Bonds Explained: The $Trillion Insurance Market No One Talks About | Gary Eastman

    24 thg 5

    Surety Bonds Explained: The $Trillion Insurance Market No One Talks About | Gary Eastman

    Surety bonds are one of the least understood—but most critical—segments in the insurance ecosystem.In Episode 156 of InsurTech Talk, I sit down with Gary Eastman, founder of SwiftBonds, to break down how this “unsexy” category quietly supports trillions of dollars in economic activity—and why it’s becoming increasingly relevant again.Gary started as an attorney doing probate work, discovered court bonds, and turned a side project into an 18-year business focused entirely on surety. What followed is a masterclass in niche selection, distribution strategy, and underwriting discipline.We cover:What surety bonds actually are (and why they’re not traditional insurance)The three core categories: contract, court, and commercial bondsHow underwriting works in a “zero-loss assumption” modelWhy distribution—not product—is the real bottleneckThe evolution from referrals → SEO → AI-driven discoveryWhere AI can (and can’t) improve underwriting and operationsWhy specialization beats breadth in building a brokerageThe structural role of bonds in financing, construction, and legal systemsKey insight:Surety isn’t just a product—it’s infrastructure. It guarantees execution, compresses risk timelines, and keeps capital flowing in real-world projects.For founders, investors, and operators in insurance and fintech, this is a category hiding in plain sight.

    38 phút
  5. From Wearables to $100M+ Workers Comp MGA: How Kinetic Pivoted to Claims Oversight Software

    24 thg 5

    From Wearables to $100M+ Workers Comp MGA: How Kinetic Pivoted to Claims Oversight Software

    What happens when your core product works perfectly — but your customers still don't stick around? Adam Price, CEO of Kinetic Comp, joins InsurTechTalk episode 155 to unpack one of the most honest startup pivot stories in InsurTech: how Kinetic went from a wearable device company to a $100M+ workers comp MGA powered by claims oversight software — and why that shift was driven entirely by listening to policyholders and brokers.In this episode: Why wearables work great — but change management kills adoptionThe real reason prevention tech struggles in mid-market workers' compHow Kinetic transitioned from hardware to a software-based claims oversight platformWhat "data fusion" actually means in practice (not just buzzwords)The Nationwide Mutual partnership and what a full-stack carrier relationship really looks likeHow to pitch an MGA to investors — and why the $6 trillion TAM slide won't cut itAI in insurance: Kinetic's honest "5 or 6 out of 10" self-assessmentTips for InsurTech founders building MGAs from scratchWhether you're building in workers comp, launching an MGA, or trying to figure out where prevention tech fits in your product strategy — this one is packed with hard-won lessons.🔗 Learn more about Kinetic: https://kineticcomp.com/

    57 phút

  6. 24 thg 4

    AI Won’t Fix Insurance Until This Problem Is Solved with Luis Pino, ProducerFlow

    Most insurance leaders focus on distribution, underwriting, or AI. But there’s a quieter constraint slowing everything down: producer compliance and onboarding.In episode 154 of InsurTechTalk, Gilad Shai sits down with Luis Pino, CEO of ProducerFlow, to unpack the infrastructure layer behind insurance distribution—how carriers, MGAs, and agencies actually get producers licensed, appointed, and ready to sell.We go deep on:Why producer onboarding speed directly impacts revenueThe hidden complexity behind licenses, appointments, and compliance workflowsHow poor onboarding creates drop-off before production even startsWhy data quality—not AI—is still the limiting factorThe different risk tolerance between carriers and agencies when adopting AIWhere the real moat is forming: data, workflows, and liability ownershipProducerFlow sits at the intersection of compliance, data, and distribution—turning what’s traditionally a back-office function into a frontline growth driver.If you’re a carrier, MGA, agency, or investor, this is a conversation about the layer of insurance most people ignore—and why that’s where leverage is shifting.

    38 phút

  7. 24 thg 4

    The Future of Health Insurance Brokers in an AI World with Will Johnson CEO of Gyde

    In Episode 153 of InsurtechTalk, Gilad Shai sits down with Will Johnson, CEO and Co-Founder of Gyde, to unpack one of the most overlooked—and misunderstood—segments in insurance: health insurance distribution.This conversation goes beyond the AI hype cycle. It dives into the real bottleneck in insurance: the broker.Will shares how Gyde is building an AI-powered platform designed to help agency owners break through capacity constraints, automate low-value workflows, and return to what actually matters—advising clients and growing their business. From renewal automation to client service and cross-selling, this is a deep look into what a true “broker operating system” looks like in health insurance.We also explore:Why health insurance is fundamentally different from P&C—and harder to fixThe growing pressure on brokers, carriers, and the entire systemHow AI is actually being used (and where it’s not)Why distribution is regaining power after years of disintermediation narrativesThe shift from “selling policies” to becoming a true strategic advisorWill brings a rare perspective shaped by nearly a decade at Oscar Health, where he saw firsthand how critical brokers are—and how underinvested they’ve been.Key takeaway:AI won’t replace brokers. But brokers who use AI will replace those who don’t.

    1 phút
  8. OCR + LLM: The Architecture That Actually Scales AI in Insurance | Kasey Roh Upstage AI

    9 thg 4

    OCR + LLM: The Architecture That Actually Scales AI in Insurance | Kasey Roh Upstage AI

    Episode 152 of InsurTechTalk Kasey Roh--Head of US, Upstage AI: Building the “Perfect Marriage” Between OCR and LLMs. What happens when AI stops trying to boil the ocean—and instead solves one of the most painful, expensive problems in enterprise workflows? In this episode, I sit down with Kasey Roh, Head of US at Upstage AI, to unpack how a focused, infrastructure-first approach to AI is quietly transforming industries like insurance, healthcare, and manufacturing. We start somewhere unexpected—yoga, discipline, and managing chaos in the age of AI—and quickly move into one of the most important conversations in enterprise tech today: why most AI implementations fail to scale, and what it actually takes to build systems that compound. Upstage isn’t just another “AI wrapper.” They’ve built both their own OCR engine and a proprietary LLM (SOLAR), designed specifically for document understanding—arguably one of the most overlooked bottlenecks in enterprise operations. Key topics we cover: 1. Why traditional OCR only solves ~10–20% of enterprise document workflows 2. The hidden cost problem of LLMs at scale (tokens, GPUs, inference) 3. Why hallucinations kill enterprise trust—and how to design around them 4. The “OCR + LLM” architecture as a pragmatic middle ground 5. Turning 10 years of unused documents into entirely new insurance products 6. Why AI in enterprises is not about automation—but accountability 7. The real test for AI adoption: does your investment *compound*? We also go deep on: 1. Evaluating AI vendors in a world full of “AI-washing” 2. The importance of owning core models vs. relying on wrappers 3. Human-in-the-loop systems as a feature—not a limitation4. The future of agentic workflows and governance This is a must-watch for operators, investors, and anyone trying to separate signal from noise in the AI hype cycle. Timestamps: 00:00 – Yoga, chaos, and entering the AI world 04:30 – What Upstage actually does (OCR + proprietary LLM) 12:00 – Why enterprise OCR is fundamentally broken 20:10 – The cost vs. accuracy tradeoff in LLMs 28:45 – Unlocking value from “dead” enterprise data 38:20 – AI vs. humans: accountability and trust 47:10 – Evaluating AI vendors (what actually matters) 55:00 – The compounding framework for AI investments About Kasey Roh: Formerly at Tesla and Meta, Kasey transitioned from corporate finance and venture investing into operating, now leading Upstage’s US expansion. Upstage has raised ~$150M and is scaling rapidly across global enterprise markets.

    48 phút
Xem tất cả (152)

Trailers

Xếp Hạng & Nhận Xét

5
/5
3 Xếp hạng

Giới Thiệu

Welcome to InsurTechTalk, the premier podcast where industry titans and trailblazers converge to unravel the fascinating world of InsurTech. Join us for insightful discussions, gripping interviews, and thought-provoking analyses with entrepreneurs, founders, investors, and executives at the forefront of the insurance and technology revolution.

Thông Tin

  • Nhà sáng tạo
    Gilad Shai
  • Năm hoạt động
    2020 - 2026
  • Tập
    152
  • Xếp hạng
    Sạch
  • Bản quyền
    © Gilad Shai
  • Trang web chương trình
    InsurTechTalk