Travel and health insurers have never had access to more data, more artificial intelligence (AI) capability, or more digital infrastructure than they do today. Yet for all the investment, many carriers are still struggling to respond to risk quickly enough when it matters.

That is becoming a serious problem. Because in travel and health insurance, risk no longer unfolds neatly or predictably. It moves in real time, often triggered by global events that develop with little warning.

A viral outbreak on board a cruise ship throws thousands of travel plans into chaos. A geopolitical flashpoint closes airspace overnight. A cyberattack paralyses hospital systems. A climate event triggers simultaneous medical and travel claims across multiple regions. Consumer expectations shift instantly during moments of crisis, while regulators demand greater transparency, accountability, and personalisation.

The market has become hyperdynamic. Many insurers, however, are still operating with decision-making structures built for a much slower world. This is the execution gap, and it is widening.

The data speaks volumes

Earnix’s 2026 Industry Trends Report highlights the contradiction clearly. Nearly 80% of insurance executives are already experimenting with, or planning to adopt, generative AI within the next two years. AI has become central to future strategy discussions across underwriting, claims, pricing, and customer engagement.

Yet operational impact remains limited. Less than one-third of insurers currently use AI in core operational areas such as claims processing or policy issuance. Two-thirds admit poor data quality is slowing decision-making and weakening AI effectiveness. Only 30% say they can access the information they need quickly.

Less than one third of insurers currently use AI in core operational areas such as claims processing or policy issuance

In travel and health insurance specifically, those delays have immediate commercial consequences. A customer stranded abroad does not care that underwriting data sits across disconnected systems.

A traveller facing a medical emergency expects real-time communication, immediate authorisation, and seamless claims handling. Health policyholders increasingly expect the same frictionless digital experience they receive from leading consumer technology brands.

A traveller facing a medical emergency expects real-time communication, immediate authorisation, and seamless claims handling

Instead, too many insurers still rely on fragmented workflows, legacy architectures, and disconnected operational silos that slow response at the exact moment speed matters most.

The irony is that the industry does not suffer from a lack of innovation. It suffers from an inability to operationalise innovation consistently at enterprise scale. That distinction matters.

AI on its own is not transformation. A chatbot does not fix organisational fragmentation. A predictive model does not automatically create better claims outcomes. Generative AI cannot compensate for poor governance, incomplete data, or disconnected decision-making environments. Without orchestration, intelligence remains isolated.

Meaningful ROI

This is why so many AI initiatives fail to generate meaningful ROI. The technology may work, but the operating model around it often does not. 

Travel and health insurers face an especially difficult challenge because their ecosystems are intrinsically interconnected. Pricing decisions affect customer retention. Claims experiences directly influence trust. Medical network performance shapes customer satisfaction. Fraud detection impacts loss ratios and regulatory scrutiny simultaneously.

Yet many insurers still manage these functions separately, through systems that cannot share intelligence dynamically across the policy life cycle. That fragmentation is becoming economically unsustainable.

What needs to change is not simply the addition of more digital transformation programmes. The industry needs a fundamentally more agile execution environment, one capable of connecting data, models, workflows, governance, and AI-driven decisioning into a coordinated operational fabric. In practical terms, that means insurers must move beyond static systems of record toward intelligent systems of action.

It means embedding explainability, auditability, and governance directly into AI workflows rather than treating compliance as an afterthought. It means enabling real-time decisioning across underwriting, claims, customer engagement, and distribution. Most importantly, it means creating operational environments where intelligence can move as quickly as risk itself.

The opportunity is to operationalise intelligent decisioning across the full policy life cycle in a governed, scalable way. That shift becomes especially important in travel and health insurance because customer trust is often won or lost in moments of vulnerability. When policyholders are travelling internationally, facing medical uncertainty, or navigating emergencies, responsiveness becomes part of the product itself. When risk moves faster than operational response, innovation alone is no longer enough.