When Disaster Strikes: Digital Insurance That Helps, Fast

By Paulo Ferro, Principal Engineer / Pre-Sales for Insurance offer at Critical Software

The floods and strong winds in Portugal were a stark reminder of the critical role insurers play during times of crisis.

Between late January and early February, six Atlantic storms struck Southwestern Europe, generating estimated insured losses of around €500 million and prompting tens of thousands of claims — at the very least. Events of this scale force insurers to do more work in a few days than they would usually do in months, coercing them to find a way to maintain service quality under extreme pressure.

When societies and their populations face acute vulnerability, insurers are expected to provide both financial support and practical reassurance, helping customers recover when their lives have been disrupted in the most dramatic ways.

Striking a balance between serving customers empathetically and effectively during a period of high-volume claims is just one of the challenges insurers must deal with. Their technical infrastructure must be resilient enough to cope with huge and often sudden surges in demand, whilst frontline teams work under intense pressure.

Unfortunately, other problems also strike as the clean-up begins. After an emergency, insurance firms must also face an unfortunate truth: even normally honest customers will try to increase the amount of their claims. They might not see themselves as fraudsters — but that's exactly what they become.

Under normal conditions, fraudulent claims are estimated to account for a low single-digit percentage of total claims, though their financial impact can be significantly higher. However, in the aftermath of catastrophic events, while the proportion may not increase dramatically, the absolute volume of fraudulent or exaggerated claims tends to rise, and detection becomes more challenging due to operational pressure and accelerated processing.

In 2022, the US National Insurance Crime Bureau estimated that fraudulent claims account for between 5% and 10% of the total amount paid out after disasters, warning that it resulted in property and casualty insurers losing between $4.6 billion and $9.2 billion in disaster claims. Clearly, this level of fraud is bad news for insurers. We must also remember that honest consumers also pay a price, bearing the cost increases in their premiums.

Solving this problem is not easy because striking a balance between battling fraud and delivering smooth services is hard enough in quiet moments. Yet it cannot be avoided.

We cannot always predict catastrophes — but we can say for sure that preparing for them is rarely a bad investment for insurers. Which is why making the right decisions about deploying digital insurance platforms should happen during times of calm — so that future emergencies can be dealt with more effectively.

After a major incident, insurers must absorb a sudden and often unpredictable surge in claims while continuing to meet regulatory obligations and customer expectations. What would normally be a steady operational flow can become a compressed period of extreme demand, requiring systems to process thousands of submissions simultaneously while maintaining robust verification controls.

Delayed decisions prolong uncertainty for customers already facing financial loss, displacement, or emotional distress. Yet excessive controls such as additional documentation requirements, repeated manual reviews, and fragmented communication can introduce friction that erodes trust and increases the risk of customer churn.

In practice, insurers must make informed trade-offs between responsiveness, risk management, and customer experience. Absolute fraud prevention is neither operationally realistic nor economically sustainable. Instead, organizations need the ability to dynamically adjust levels of scrutiny based on risk signals, claim complexity, and available capacity.

This raises a fundamental question: how much process agility can be introduced without materially increasing exposure to fraud or operational failure? The answer depends not only on front-end digital channels, but on deeper capabilities such as system interoperability, data quality governance, and organizational ability to act on real-time insights.

Modern insurance platforms are increasingly central to addressing the challenges facing insurers. When implemented effectively, they can transform the claims journey from a passive “submit and wait” process into a guided recovery system that supports customers at every stage of their journeys.

For example, mobile-first claims submission can enable policyholders to document damage immediately using photos, geolocation data, and structured questionnaires. Automated status updates reduce the need for inbound calls, while integrated workflow tools allow adjusters to collaborate across departments and external partners.

From an operational perspective, these capabilities provide insurers with real-time visibility into claim volumes, bottlenecks, and resource allocation. This transparency enables faster decision-making and more effective workload balancing during peak demand.

Intelligent triage is particularly important. Automated prioritization based on severity indicators, vulnerability markers, or policy parameters allows straightforward claims to be resolved quickly, freeing experienced professionals to focus on complex negotiations, large-loss assessments, sensitive customer interactions, and to sustain robust human support channels for vulnerable or digitally excluded customers. This safeguards accessibility, trust, and compliance in an increasingly automated service landscape. In this way, digital tools augment rather than replace human judgment.

Digitalization also reshapes the nature of fraud risk. Catastrophic events can act as force multipliers for opportunistic behaviour, while advances in consumer technology make it easier to manipulate images and fabricate other supporting documentation, before attempting to exploit gaps in overloaded processes.

To mitigate this risk, modern claims environments are incorporating analytics-driven verification techniques. Cross-referencing claim data against external datasets and applying contextual risk scoring can help insurers distinguish genuine losses from suspicious patterns, without imposing blanket controls on all customers.

These capabilities can be embedded into end-to-end workflows rather than deployed as standalone tools. This prevents fragmented systems or poorly integrated data pipelines from creating blind spots that undermine both fraud detection and customer experience.

The objective is not total automation, but appropriate automation. Rapid resolution should be the default for low-risk claims, while more forensic investigation is reserved for cases that present clear indicators of complexity or potential abuse.

Achieving this balance requires platforms designed for resilience as well as efficiency. Regulatory expectations around operational continuity, data protection, and auditability mean insurers must be able to demonstrate how decisions are made, even under crisis conditions.

This places new emphasis on scalable architectures, secure integration frameworks, and governance models that can adapt to evolving threats and regulatory scrutiny.

Ultimately, selecting a digital insurance platform is a strategic investment in organizational resilience. Systems that enable real-time data integration and collaborative case management can help insurers maintain service continuity during extreme events.

As climate-driven catastrophes become more frequent and customer expectations continue to rise, digital insurance is no longer simply about optimizing processes. It must ensure that insurers can respond with confidence when disruption occurs by supporting customer recovery while safeguarding operational stability and the wider financial ecosystem.

Interested in exploring this topic further? Reach out to our expert, Paulo Ferro, on LinkedIn to continue the discussion.