James Foote

How to Make Informed, Empathetic Claims Decisions While Reducing Costs Could AI have prevented the opioid crisis in workers compensation? In this episode of InsurTalk, hosted by Guidewire's Chief Evangelist Laura Drabik, the CEO of CLARA Analytics shares insights into how AI-enhanced claims workflows can help adjusters cut medical costs by 15% by making informed, empathetic decisions that accelerate return-to-work and achieve optimal claims outcomes for carriers, customers—and claimants. Listen now: https://bit.ly/3TEhhjt

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New on the Guidewire Marketplace: Verisk’s Liability Navigator®! Claims teams can now access powerful bodily injury analytics directly within Guidewire ClaimCenter. With faster implementation and reliable data-driven insights, insurers can streamline settlements and improve consistency: https://vrsk.co/4hBHHh9 #Insurance #Technology #Claims #Innovation

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🚨 Big News: Solvrays 🤝 ManageMy Thrilled to officially share that Solvrays is partnering with ManageMy to transform how insurance carriers automate operations and deliver seamless customer experiences. This is more than a tech integration—it’s a mindset shift. Together, we’re merging: ⚙️ Agentic AI + intelligent automation (Solvrays) 🧩 No-code digital experience design (ManageMy) 💡 All to create configurable, modern insurance journeys. Insurance doesn't need more bolt-ons or band-aids. It needs systems that talk, learn, and work—for the people they serve. And that’s what we’re building. Proud of what our teams are doing to reimagine insurance from the inside out. #PartnershipAnnouncement #solvingrealproblems #futureofworkflow #agenticai #noexcuses Soven Shrivastav Suroj M. Goran M. Sasa Mirkov Stuart Johnston Josh Hall Stephen Collins Steve Gaertner Kristen Sabatini Zach O'Leary

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What happens when you combine Sigma, Snowflake Cortex, and a custom AI agent? In this demo, Sigma Solutions Engineer Marit Taylor showcases the InsureLLM Policy Renewal Agent—a Sigma-powered workflow that transforms how insurance underwriters handle policy renewals. Instead of manually sifting through data, the agent: -Identifies upcoming renewals and surfaces high-risk policies automatically -Pulls detailed policy profiles with risk scores, claims history, and property data -Lets users model "what-if" scenarios by adjusting parameters like occupancy, construction type, and flood zone, all in real time This is what AI-powered analytics looks like in practice: not just dashboards, but intelligent agents that guide decisions and automate workflows. Built directly in Sigma, powered by your cloud data warehouse.

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Strong collaboration across Berkley businesses continues to drive meaningful innovation. Recently, teams came together for an AI Document Summary kickoff meeting to align on the rollout of AI document summary capabilities. The discussion focused on how this new process can enhance how claim information is reviewed, summarized, and used across teams. Berkley Industrial Comp was selected as one of the initial businesses to evaluate the process and provide feedback. Being part of this early group allows us to help shape the approach with real world insights from daily claims operations. This initiative reflects our commitment to working together, testing new ideas with purpose, and continuously improving how we operate. #BerkindComp #Innovation #ClaimsTechnology #Guidewire #Collaboration

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Chubb gets it. Their new AI-powered embedded insurance engine solves a 20-year friction problem: coverage at the point of need, instantly contextual, zero manual underwriting delays. This is what digital transformation actually looks like in insurance - not migrating the old process to cloud, but reimagining the entire customer experience. What makes this smart: Real-time risk assessment at transaction time. The policy quote happens when the customer needs it, not three days later after they’ve moved on. Embedded into partner ecosystems. Insurance becomes invisible infrastructure instead of a separate shopping experience. API-first architecture. This is how you scale without adding headcount proportionally. The hard part isn’t the AI. The hard part is building trust frameworks that let AI make underwriting decisions autonomously while maintaining regulatory compliance and brand protection. Chubb ’s doing the work. Respect.

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