News and current events where we would like to meet you.

Actuarial reserving requires methods and assumptions to be assessed against previous closing outcomes. The Automated Reserving Agent extends this analysis through intelligent back-testing across a broad range of method and parameter combinations.

Existing reserving rules and past performance are incorporated to generate documented recommendations with full traceability. The resulting insights provide actuaries with a stronger basis for subsequent reserving cycles while keeping assumptions editable and validation in their hands.

More granular data and AI allow home insurers to assess individual risks with increasing precision, bringing the relationship between segmentation and risk pooling into sharper focus.

The article examines how building-level data can support more accurate risk assessment while preserving mutualisation. It explores the implications for pricing, prevention and portfolio management, and how greater granularity can contribute to a more informed approach to home insurance risk.

Solvency II is often associated with models, indicators and regulatory reporting. In practice, however, it encompasses a much broader set of operational activities.

This article provides an overview of the key stages, from data collection and calculations through to reporting and compliance, decision-making and the continuous improvement of operational risk management.

Increasing regulatory complexity, rising efficiency requirements and growing expectations around transparency are placing significant pressure on actuarial, risk and finance functions within insurance organisations. Traditional, highly manual operating models are reaching their limits.

This article explores how data and process automation – spanning robotic process automation, artificial intelligence and advanced analytics – is transforming these core functions. It highlights key use cases across the insurance value chain, discusses implementation challenges and success factors, and explains why automation is not only an efficiency lever but a critical foundation for scalable, future-ready AI strategies.