Leading UK Home and Motor Insurer Cuts Claims Processing Time 99.4% with GenAI Summarisation

A leading UK home and motor insurer faced mounting pressure on its claims department as adjusters were required to manually read through extensive claim documentation before making decisions on each case. The review process consumed up to 30 minutes per claim, creating chronic bottlenecks across the workflow. In a high-volume insurance environment where speed directly affects customer satisfaction and retention, this inefficiency was unsustainable. The manual approach also introduced inconsistency in how information was interpreted, affecting the standardisation of claims evaluations and the overall quality of decisions made across the department.

The insurer partnered with Advancing Analytics, a consultancy specialising in applied AI for business operations, to productionise a GenAI-powered claims notes summarisation system. Advancing Analytics worked closely with the claims team to understand operational requirements before deployment. The solution leverages state-of-the-art large language models to automatically parse complex claim documentation and deliver structured, consistent summaries to adjusters in seconds. Rather than replacing existing workflows entirely, the system was integrated to sit upstream of the adjuster review stage, transforming raw claim notes into actionable summaries while preserving human decision-making at the point of judgement.

The headline outcome was a 99.4% reduction in claims processing time — from 30 minutes to just 10 seconds per claim. This single operational change eliminated the primary bottleneck slowing the department.

• Processing time: 30 minutes → 10 seconds per claim
• Throughput: The department can now handle significantly higher claim volumes without additional headcount
• Adjuster focus: Time previously spent on document review is redirected to critical decision-making
• Consistency: AI-generated summaries standardise how claim information is presented, reducing variability in evaluations

The insurer noted the solution was "transformative for operations and customer experience."

• Targeted GenAI deployments can deliver outsized returns: A focused summarisation solution — not a broad AI overhaul — drove a 99.4% time reduction, demonstrating that narrow, well-scoped implementations often outperform ambitious all-in-one approaches.
• Document-heavy workflows are high-ROI targets: Any process where skilled staff spend significant time reading before deciding is a strong candidate for GenAI summarisation.
• Human judgement remains central: The system augments adjusters rather than replacing them, which aids adoption and maintains accountability in regulated insurance decisions.
• Consistency is a secondary but meaningful benefit: Standardised AI summaries improve evaluation quality, not just speed — a point worth quantifying during business case development.