📊 Insurance leaders face growing pressure to do more with less. High claims volumes, complex underwriting, and generic policy renewals all put pressure on teams while customers expect speed, accuracy, and personalization. With Flowable’s Agentic AI agents, insurers can: ✅ Triage and process claims faster, with fewer errors ✅ Surface risk insights for underwriting automatically ✅ Personalize policy renewals to improve customer retention ✅ Free up staff to focus on complex, high-value cases The result? Faster turnaround, improved customer experience, and scalable operations without growing headcount. Learn more via the link below #Insurance #AgenticAI #Claims #Underwriting #Renewals #CustomerExperience #dynamiccasemanagement #Flowable https://lnkd.in/duSkT85a
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Manual claims in 2025? That’s money left on the table. See how Galent helped a global insurance provider automate, accelerate, and outpace—using AI and predictive analytics. 📘 Case Study: Innovating Insurance: Streamlining Operations with AI and Predictive Analytics https://lnkd.in/gntAn9YB
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Insurance, reimagined with AI. Watch how a customer seamlessly files a claim through an AI-driven Q&A chat, auto-generated by FlowX.AI from the insurer’s existing application. On the other side? A real-time claims portal that enables employees to review and approve instantly. From customer to back office, end-to-end claims management, smarter, faster, with FlowX.AI.
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Many parts of the insurance sector, which have previously been marred by legacy technology, are now undergoing rapid digital transformation. AI, automation, and embedded insurance are just some of the technologies driving change in everything from underwriting and claims to customer engagement, leading many industry firms and leaders to rethink their approach. Read the full article here: https://lnkd.in/dBRCe8rN
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AI Agents = A New Era for Insurance Operations Imagine an insurance company receiving hundreds of broker submissions daily, each packed with ACORD forms, loss runs, and supplemental documents. The underwriting team is buried in PDFs, manually extracting history, coverage limits, and renewal dates. Now imagine this instead: ✅ An AI Agent powered by Docugami automatically reviews every submission. ✅ It extracts key data from ACORD forms and loss runs, flags missing information, and routes clean, structured data directly into the underwriting system. ✅ It alerts the team when a submission is incomplete or inconsistent, before it slows down the process. No more manual review. No more bottlenecks. Just intelligent automation. Docugami’s AI Agents read and understands documents. They turn unstructured data into actionable insights, enabling faster decisions, better compliance, and stronger broker relationships. This is the future of insurance operations: Smarter workflows. Cleaner data. Happier teams. #AIAgents #InsurTech #DocumentIntelligence #ACORDForms #LossRuns #UnderwritingEfficiency #InsuranceInnovation #Automation
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AI in Insurance Claims: Driving Personalized CX AI is transforming insurance claims by making them faster, smarter, and more empathetic. From guided FNOL to automated damage assessment, insurers can now deliver personalized experiences that build trust and reduce settlement times from weeks to days. Read More- https://lnkd.in/gCrxwjW3 #Insurance #AI #CustomerExperience #ClaimsManagement
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AI-Driven Underwriting: Precision at Speed Underwriting, the foundation of insurance, is evolving with AI technology, enhancing speed, intelligence, and precision. Integrating Guidewire PolicyCenter with AI enables: - Automated risk scoring through internal & external data sources. - Reduction of manual touchpoints by 50–70%. - Dynamic adaptation of coverage based on customer profiles. The outcome? Expedited decisions, improved pricing accuracy, and heightened customer confidence. However, the key lies in ensuring AI remains explainable and compliant. Will AI drive underwriting to be more human-centric or less? Share your thoughts. #Underwriting #Guidewire #InsurTech #PwC
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Kyle Geoghan, CEO and co-founder of Indemn, describes how their AI agents are moving beyond basic chat to handle daily front-line insurance operations. AI agents now generate quotes by collecting key data, guide applicants step by step through underwriting, generate certificates, and support first notice of loss (FNOL) processes. Notably, right now they can replace 30–40% of the repetitive questions that underwriters and CSRs field each day. Ongoing work includes building API integrations with policy administration systems, so brokers can check customer status or handle payments directly. Indemn’s long-term goal is to let clients fully build and manage their own AI agents—the platform is about halfway there, with clients already able to create and oversee agents as new capabilities roll out and the system evolves daily in response to real-world use. Which of your repetitive tasks would benefit most from AI support? Share your perspective below. 🎧 Tune into the full conversation today: https://lnkd.in/diBFVE9J #Insuretech #Insurtech #CustomerExperience #AIInInsurance #FNOInsureTech #WorkflowAutomation
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The future of #Insurance is #AI-first! 💡 With #GenAI’s ability to enhance decision-making, creativity, and empathy, insurers can transform how they manage underwriting, claims, and customer experiences. Powered by FleziPT, #FPT’s proprietary AI platform, insurers gain access to intelligent assistants, automated workflows, and advanced fraud detection driving efficiency and trust. 📈 Explore how FleziPT is reshaping the insurance landscape 👇 https://loom.ly/na1OlG8 #DigitalTransformation #FPTAmericas
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On the latest FNO: InsureTech episode, Kyle Geoghan, Indemn's CEO, points out that the most valuable generative AI use cases in insurance today are practical: providing easier access to information and products. AI agents can now generate quotes in natural language and perform real-time underwriting. They already replace 30–40% of the repetitive questions that underwriters and CSRs face each day, freeing specialists for more complex work. Yet, implementing these solutions comes with real-world obstacles: • Compliance risks are significant • Distribution across channels—direct, broker, affinity—remains complex • Insurance experience is essential; “If you don’t have insurance experience, you’re not going to build that platform to scale the way insurance companies need it to” Innovation occurs through trial, informed by deep industry knowledge. Often, it takes several iterations to find what works—expertise narrows the gap between attempt and success. What do you see as the most urgent, practical AI use case in insurance today? 🎧 Tune into the full episode for more: https://lnkd.in/diBFVE9J #Insuretech #Insurtech #CustomerExperience #AIInInsurance #FNOInsureTech #WorkflowAutomation
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Insurance COOs face a tough equation ❗ Rising claims costs. Growing customer expectations. All while managing legacy systems and strict compliance requirements. The good news: AI is already proving its value 🤖 We’re seeing insurers reduce friction by automating document intake, supporting underwriters with AI copilots, and strengthening compliance with auditable AI workflows. The result isn’t years away — it’s measurable ROI in weeks 📈 💬 If operational friction is slowing your teams down, I’d be glad to share what we’re seeing in practice.
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