As global travel rebounds and consumers expect faster, more seamless service, insurers are accelerating their investment in digital innovation. Artificial intelligence (AI) and parametric insurance, once emerging buzzwords, are now central to modern insurance strategy, enabling faster claims resolution, real-time communication, and smarter use of data.

The challenge now lies in balancing automation, personalisation, and empathy; ensuring technology enhances, rather than replaces, the human skill set.

Automation and parametric systems for simple claims

AI and automation are transforming how insurers manage repetitive, manual processes, freeing up skilled teams to focus on complex, higher-value work.

Daniel Durazo, Director of External Communications at Allianz Partners USA, said that AI was already reshaping operations across the business: “At Allianz Partners, artificial intelligence is revolutionising how we work, innovate, and serve our customers. We are using AI to empower our associates by automating repetitive and time-consuming tasks, enhance customer experience through speed and accuracy, and drive the business forward with faster, more informed decisions.”

Durazo said the benefits were twofold: supporting employees while delivering faster, more accurate outcomes for customers.

“Our associates are benefiting as AI streamlines workflows, freeing valuable time for strategic and customer-focused initiatives. AI can also be used in complex, time-consuming areas such as insurance product creation, allowing us to move faster to meet the demands of customers and partners.

“On the customer side, AI now powers chat on our consumer website, delivering quick, accurate responses to enquiries, and helps us pay claims faster by reviewing and recommending approval for most claims.”

Similarly, James Page, Senior Vice President and Chief Administration Officer at Travel Guard, part of Zurich Cover-More, said automation had been a cornerstone of their recent process innovations.

“We have a system called ‘straight-through processing’ for simple claims – built in-house and implemented in 2020. It uses a basic, parametric process to handle a significant number of our claims for payment purposes, and it’s something we continue to build on as one of our internal capabilities.”

Together, these technologies are streamlining operations and improving turnaround times – a key differentiator in today’s competitive travel insurance market.

Scalability for global insurers

For providers operating across multiple markets, scalability is essential. Parametric solutions – which use predefined data triggers to automate payouts – are increasingly appealing for their adaptability and reach.

Sid Mouncey, Chief Commercial Officer at Blink Parametric, said scalability and flexibility were built into their model: “Our solutions are designed to be highly scalable and flexible across multiple geographies, product types, and partner systems. The Blink Parametric platform is API-first and modular, allowing insurers to deploy it as a white-labelled, customer-facing experience or integrate it seamlessly behind the scenes.”

He added: “Today, we operate in more than 28 markets across multiple languages and currencies, serving both embedded and standalone product models. Some clients use Blink as a branded feature that enhances their proposition, while others integrate it invisibly to deliver real-time assistance under their brand. The scalability lies in its adaptability – each deployment looks different but delivers the same outcome: instant, data-driven customer care.”

By embracing AI, our claims colleagues spend less time on routine administrative tasks and instead focus on providing the best customer experience possible

Parametric insurance for travel is rapidly gaining traction. According to Dataintelo’s Parametric Travel Insurance Market report, the global market is estimated at US$2.4 billion in 2024 and is projected to grow to $8.9 billion by 2033, representing a compound annual growth rate (CAGR) of approximately 15.5%.

Instant claims: balancing speed, accuracy, and loyalty

One of the most visible benefits of AI and parametric systems is their ability to deliver near-instant claims resolutions. But while speed delights customers, insurers must safeguard accuracy, prevent fraud, and ensure fairness.

Durazo shared that AI had dramatically shortened claims life cycles at Allianz Partners: “Historically, claims review has been a time-consuming process. By using AI, we can quickly determine whether a claim is ready to be paid or requires further handling. Since implementing AI, we’ve seen a 71% automation rate for claims processed in 12 hours or less, with the average life cycle reduced from 19 days to just four. Automated claims can now be finalised and paid in as little as six hours.”

Page said that Zurich Cover-More pursued the same efficiency goals, while also emphasising the importance of human oversight.

“We’re always working to find efficiencies that make us faster, but too much speed can pose a challenge to accuracy. The payment turnaround we use allows time to review each payment and ensure everything aligns correctly.”

He added that speed shouldn’t come at the expense of customer value: “An instant claim for a flight delay might be $100, paid immediately, but the traveller could be entitled to more if they complete a traditional claim. Many travellers are willing to take that extra time to receive their full benefit.”

Mouncey agreed that balance was key: “Speed without accuracy creates risk; accuracy without speed undermines customer trust. The sweet spot is automation driven by verified, real-time data – and that’s where parametric insurance excels. Blink verifies each trigger event, like flight delays or lost luggage, through trusted data sources before an instant resolution is made available. That removes manual intervention and potential error while still delivering payouts or services in minutes.”

He added that customers increasingly expected this level of responsiveness: “Fast, frictionless resolutions are becoming a key loyalty driver. But it’s not just about speed – it’s about confidence that, when something goes wrong, the insurer acts proactively and transparently. That’s the foundation of real customer loyalty.”

Parametric claims freeing up staff for complex cases

While automation enhances efficiency, it also frees up skilled adjusters to focus on claims that truly need human judgement and empathy.

Durazo said this shift was reshaping the customer experience at Allianz Partners: “Today’s rapid pace of innovation means expectations around claims handling are rising. By embracing AI, our claims colleagues spend less time on routine administrative tasks and more on delivering the best possible customer experience.”

Page added that automation had allowed Zurich Cover-More to allocate skilled staff more effectively: “Our automated processes mean skilled adjusters can focus on work that requires their expertise. If we previously needed four team members to manage both complex and simple claims, we could now hire two experts to handle only the complex ones.”

He said the company was continuing to explore how AI could further support adjusters: “As AI tools evolve, we’re examining ways to remove redundant tasks so adjusters can use their advanced skill sets to interpret customer intent and identify other payable opportunities. Good customer service benefits from a high degree of skill, but it also requires time.”

Speed without accuracy creates risk; accuracy without speed undermines customer trust. The sweet spot is automation driven by verified, real-time data

Mouncey agreed that the operational impact of parametric adoption was measurable: “Our partners report up to a 99% reduction in claims handling time for flight disruption and luggage delay events. That automation frees highly skilled teams to focus on complex, high-value cases like medical emergencies or repatriations. The result is faster resolutions, lower costs, improved customer satisfaction, and stronger staff retention. It’s not just better for customers – it’s better for the business.”

This paradigm shift is significant. By automating routine, rule-based claims, human adjusters can focus on more complex, high-touch cases such as medical evacuations, repatriation logistics, major event losses, and strategic underwriting decisions.

At the same time, parametric insurance offers structural advantages – objective triggers, real-time data feeds, and minimal paperwork – which reduce administrative overhead and basis risk (the risk that payouts do not match actual losses). Emerging use cases are now expanding beyond climate and agriculture to include travel, aviation, and embedded insurance partnerships.

Looking ahead

As the insurance sector undergoes digital transformation, AI and parametric technologies are enabling more efficient claims handling. Routine tasks can be automated, allowing human teams to concentrate on complex cases and interactions that require judgement and care.

With scalability, verified data, and smarter workflows now embedded in operations, the next frontier will be refining these systems to ensure automation not only accelerates claims, but also strengthens trust and loyalty in an increasingly digital world.

The broader market context supports this push: in 2024, Allianz Partners reported business volume rising 8.7% to €10.1 billion and operating profit up 10.7%, attributing the growth to continued investment in digital services. 

Yet, as the industry transforms, it faces important challenges: data governance, regulatory oversight, and human–machine collaboration. The National Association of Insurance Commissioners’ (NAIC) guidelines on AI highlight the need for transparency, fairness, and accountability in deploying automation in insurance.

To reap the full benefits of AI and parametric capabilities, insurers must ensure that customers are not disenfranchised by complex automation, that basis risk is addressed in parametric design, and that human skills remain engaged in the service that cannot be automated.

In short, the message is clear: automation isn’t a replacement for human skills – it’s a lever to elevate them, allowing insurers to be faster, smarter, and more customer centric. The real value lies in the orchestration of humans and machines, rather than one replacing the other.