InsurTech Weekly Newsletter | Volume 10

Plus: 📣 “Generic Sales Enablement Is Dead” – Camille Kempell on What Works

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TODAY’S TOP PICK🎯

CRMs were built to store data. But storing isn’t selling. The best sales teams are now pairing their CRMs with AI, not to add more dashboards, but to actually do something with the data they already have. Think instant deal prioritisation, sharper forecasting, and coaching that’s actually relevant.

But how do you use AI effectively? This guide breaks it down into easy steps.

LEADING VOICES📣

INDUSTRY INSIGHTS đź“°

The insurance industry is leveraging AI not just to expedite traditional processes but to innovate entirely new paradigms. AI has transformed policies from annual assessments to continuous engagement, allowing real-time adjustments in risk and coverage, exemplified by Metromile's pay-per-mile model and Zurich UK's achievement of 98% accuracy in automated claims processing. This shift optimizes customer relationships beyond periodic interactions and showcases AI's role in advancing from coverage to prevention, as seen in mortgage fraud and health insurance predictions.

Beyond automation, the integration of AI fundamentally redefines business models from product providers to ecosystem players. Firms like MetLife Japan have enhanced fraud detection by merging diverse data sources in real-time, emphasizing the necessity of ethical AI deployment. To thrive, leaders must balance AI capabilities with human insight and strategic foresight, ensuring ethical considerations are central to transformation efforts. This dynamic landscape requires a comprehensive blend of technology, ethical governance, and innovative business strategies to foster trust and efficiency in the insurance sector.

Bain Capital's $825 million investment for a 9.9% stake in Lincoln Financial aims to bolster the firm's capital flexibility and earnings growth, while enhancing its investment platform through Bain's asset management capabilities. This partnership marks a significant shift towards incorporating private capital strategies within the insurance sector, promising to positively impact Lincoln's performance and operational capacity.

Broker Insights has significantly upgraded its VISION platform to enhance data analytics capabilities for brokers and insurers. This move responds to the considerable growth in Gross Written Premium (GWP) on the platform—up by 87% in 2024 to now manage over £6 billion.

AI-driven processes are revolutionizing the insurance industry by optimizing underwriting teams to focus on strategic tasks, enhancing productivity, and seizing opportunities even in a hardening market. The integration of AI allows insurers to automate mundane tasks, thereby enabling underwriters to identify and prioritize lucrative business opportunities more effectively. This transformation is not about replacing human roles but about augmenting skills and improving overall efficiency—critical for maintaining competitive advantage.

Leveraging AI in underwriting not only streamlines workflows but also enhances decision-making with sophisticated data analysis. As insurers navigate through fluctuating markets, having a real-time understanding of risk and automated data management can greatly improve pricing accuracy and decrease administrative burdens. These advancements result in healthier financial KPIs and prepare companies to adeptly handle future market changes, underscoring the necessity of adopting AI for sustained growth and success.

The integration of Artificial Intelligence in the U.S. insurance industry is transforming the fight against fraud, a problem that drains billions annually from an industry valued at $2 trillion. AI, paired with human expertise, is proving instrumental in reducing revenue losses from fraudulent activities, as P&C insurers capture nearly 50% of the market. This collaborative strategy leverages AI's data-processing power and human analytical skills, creating a robust defense against increasingly complex insurance fraud schemes.

The implementation of AI in insurance is increasingly viewed as pivotal, not merely enhancing efficiency in claims and underwriting but also fortifying information security. As AI becomes an indispensable tool, the emphasis is on its ability to not only automate and streamline processes but to fundamentally transform risk assessment. Companies harnessing AI effectively are likely to lead the future in developing adaptive, resilient models that maintain both financial integrity and customer trust in an ever-evolving digital landscape.

AI is revolutionizing the insurance industry, especially in managing the surge of claims due to extreme weather events. By streamlining claims processing, AI ensures rapid assessment and prioritization, reducing backlogs and allowing human adjusters to focus on complex cases. This technological shift not only optimizes operational efficiency but also enhances customer satisfaction by alleviating the emotional and financial stress typically associated with the claims process.

Additionally, AI plays a critical role in combating insurance fraud, which costs the U.S. $308 billion annually. AI efficiently detects discrepancies and emerging fraudulent patterns, safeguarding insurers' financial health and keeping premiums lower for honest customers. Embracing AI enables insurers to navigate climate change challenges while providing robust support to policyholders, demonstrating the transformative potential of technology in the insurance landscape.

California's Assembly Bill 226 has advanced to the state senate, following a unanimous 72-0 vote. The bill, spearheaded by Assemblymember Lisa Calderon, seeks to enhance the financial stability of the California FAIR Plan by allowing it to issue bonds or establish credit lines. This initiative is designed to distribute costs over time, thereby preventing sudden insurer assessments that could strain smaller insurers or lead to premium hikes. It’s a critical move to fortify California's insurance landscape, particularly in high-risk wildfire regions.

ZestyAI's Z-HAIL model reveals over 12.6 million U.S. homes face significant hail risk, with potential damages totaling $189.5 billion. By combining aerial imagery and machine learning, this tool offers property-specific insights, moving beyond traditional models and promoting better underwriting. The model's success in states like Texas underscores the urgency for advanced, climate-resilient risk assessments.

EDITOR’S INSIGHT💭

🌍 Turning Tariff Turbulence into a Revenue Opportunity

With trade policies in flux and tariffs reshaping global commerce, Insurtech firms face a critical moment. While these shifts may raise costs and complicate enterprise sales, they also present a rare chance to rethink strategies and unlock new growth. The challenge now isn’t just to react—it’s to adapt with intent.

Tariff hikes often push up operational costs and strain supply chains. For Insurtechs, this means reassessing go-to-market approaches, especially in B2B, B2B2C, and embedded models. Companies that are already ahead of the curve are diversifying supply chains, reworking pricing models, and investing in tech that boosts visibility and resilience. These moves aren't just about risk mitigation—they’re creating competitive advantages.

Sales leaders must take the lead in this evolution. By strengthening supplier partnerships, adjusting sales enablement tactics, and exploring new sourcing routes, Insurtechs can move faster and sell smarter. Flexibility, underpinned by data and supported by strong execution, becomes the true differentiator.

The takeaway? Trade shifts aren’t just roadblocks—they’re catalysts. Insurtech firms that lean into the disruption, stay agile, and double down on innovation will be the ones to define the next era of growth.

YOUR FEEDBACK MATTERS🗳️

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