Aviva: Harnessing AI for Critical Illness Underwriting

A breakthrough in medical data processing could transform how healthcare providers and insurers handle complex clinical documentation.

Aviva's expansion of its generative AI underwriting tool to support individual critical illness (CI) insurance applications represents a significant advancement in healthcare technology, demonstrating how AI can streamline the analysis of medical reports and accelerate decision-making for patients requiring insurance coverage.

The insurer has scaled its generative AI tool to process clinical documentation more efficiently, reducing medical report review times by 50% for critical illness applications. This development could signal a shift in how healthcare data is interpreted and applied within medical underwriting, potentially improving access to coverage for patients with complex medical histories.

Processing complex medical documentation

The technology's primary function centres on analysing lengthy medical reports and transforming them into concise summaries containing only clinically relevant information. This capability addresses a persistent challenge within healthcare administration: the time-consuming nature of reviewing comprehensive patient records and extracting pertinent data for insurance assessment.

The tool was the first of its kind in the protection market when it originally launched for individual life insurance applications in November 2025. The expansion to critical illness applications required the AI system to handle increased medical complexity, validating its accuracy across a wider range of health conditions and clinical risk factors during extensive testing phases.

The technology utilises Gen AI to process medical documentation, enabling healthcare underwriters to review cases more efficiently from the point of application. This could mean faster access to insurance coverage for patients, particularly those with serious health conditions requiring critical illness protection.

By automating the initial review process, the system allows underwriters to focus their expertise on complex decision-making rather than administrative tasks. This shift in workflow could improve both the quality and speed of underwriting decisions across the healthcare insurance sector.

Advancing healthcare data analytics

The sophistication of Aviva's AI solution lies in its ability to navigate the complexity inherent in critical illness underwriting. Unlike standard life insurance applications, CI cases require detailed analysis of multiple health conditions, treatment histories and ongoing medical management plans. The system must accurately identify and summarise relevant clinical information while filtering out non-essential data.

Robert Morrison, Chief Underwriting Officer at Aviva, says: "Building on the recent launch of our life insurance AI summarisation underwriting tool, this is another important step in our commitment to making protection insurance faster, simpler and more accessible for our customers using generative AI.

"Throughout development, we've focused on enhancing the stages of the underwriting journey that deliver the most material gains for customers, advisers and our underwriters in both service and efficiency. Our current capability also extends to post-application auditing, and our next focus will be on delivering summarisation for income protection."

The technology's machine learning capabilities continue to improve through ongoing training with diverse medical datasets. This iterative refinement process ensures the system maintains accuracy as medical terminology and treatment protocols evolve within the healthcare landscape.

Healthcare AI adoption accelerates

The firm's AI strategy reflects a wider healthcare and insurance industry trend of organisations embracing AI as the clinical and operational benefits become increasingly clear. The application of AI to medical documentation processing could have implications beyond insurance, potentially informing how healthcare providers manage patient records and clinical data.

In February 2026, Neptune Flood Insurance and Experian moved within OpenAI's ChatGPT to offer insurance products through the app, according to company announcements. Consumers can now create a conversation with AI to enquire about and purchase insurance products.

Similarly, in January 2026, Allianz earned international recognition for its Global AI Run, a massive upskilling initiative reaching 144,000 employees across 70 countries, as reported by the company. The programme integrates tools like AllianzGPT and Project Nemo – the latter reducing claims processing times by 80%.

The strategy combines inclusive, tiered learning for all staff with expert partnerships, such as technical training with Sorbonne University. This measured rollout ensures digital literacy at every level, from foundational ethics to executive strategy, driving measurable ROI and operational agility through a future-ready, AI-confident workforce.