Leading Insurers Gather to Explore the Next Era of Insurance

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Earnix Excelerate Boston brings together the industry’s most forward-thinking leaders moving beyond AI experimentation to define what operational transformation looks like — and what it means for growth, profitability, and resilience

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BOSTON — Earnix, the first AI company purpose-built for insurance, today announced Earnix Excelerate Boston, the inaugural North American edition of its flagship global insurance innovation conference. After successful events in London and Paris, Earnix is bringing Excelerate to the U.S. to meet customers and partners in one of the world’s most dynamic insurance markets, reflecting the company’s strong growth in North America and the rising urgency among insurers to move beyond experimentation and make AI genuinely. operational.

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Insurers are facing a widening execution gap with direct financial consequences. Risk is becoming more complex and harder to price. Traditional underwriting and pricing cycles are struggling to keep up. Margin-protection strategies that worked for a decade are no longer enough to offset growing profitability pressure. And legacy systems and fragmented operations make it harder for insurers to adapt at the speed the market now demands. A new operating model powered by AI has the potential to change this — but only if insurers can move beyond isolated pilots into the operational decisions that shape performance every day.

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The gap between AI ambition and true operational transformation remains wide. AM Best projects the U.S. P&C combined ratio will rise to 96.9% in 2026, compressing the margin for slow decisions.. Earnix’s 2026 Trends Report found that 83% of executives are concerned that AI models are being trained on incomplete or inaccurate data, while only 30% say they can get the information they need quickly. Nearly 80% are experimenting with or planning to adopt generative AI, yet fewer than one in three are using it in live operational decisions. Gartner predicts that organizations will abandon 60% of AI projects unsupported by AI-ready data through 2026. Excelerate Boston will focus on what comes next: how insurers can connect intelligence, workflows, and decisions across the business to rethink how work gets done and respond faster to changing market, customer, and risk dynamics.

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“The insurance industry does not lack AI ambition; it lacks the operating infrastructure to turn that ambition into action. That gap has a real cost. Slower decisions, missed opportunities, and operating models that were built for a world that no longer exists,” said Robin Gilthorpe, Chief Executive Officer of Earnix. “North America is one of the world’s most dynamic and demanding insurance markets, and the insurers who lead the next decade will be the ones who solve this now, not later. Excelerate Boston is where that conversation happens. And this year, we are raising the bar for what the industry believes is possible, showcasing our next generation of capabilities, and demonstrating how they can deliver real impact for customers”.

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Bringing together more than 150 insurance executives, practitioners, technology leaders, and partners, Excelerate Boston will examine how leading carriers are rethinking their operating models to respond to dynamic risk, margin pressure, and rising customer expectations. Through keynotes, customer case studies, live product demonstrations, and hands-on masterclasses, attendees will explore the practical mechanics of operationalizing AI, and leave with a clear view of what the next phase of intelligence in insurance looks like in practice.

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The next evolution of intelligent decisioning

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Excelerate Boston will also serve as the platform for a significant industry announcement. Earnix has signaled that what it reveals will represent a major step forward in how insurers can move from AI experimentation to enterprise-wide operational transformation, connecting intelligence, workflows, and decisions across the business in a way that has not been possible before.

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What to expect at Excelerate Boston

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Through keynotes, customer case studies, live product demonstrations, and hands-on practitioner masterclasses, attendees will explore the practical mechanics of operationalizing AI across the insurance journey. Designed for practitioners as much as leaders, session highlights include:

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