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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.