Solvency II is more than a regulatory submission. It connects data ingestion, reserving, capital calculation, QRTs, the ORSA, governance, approvals, and disclosure. The EU framework brings quantitative requirements, governance and risk management, and supervisory reporting together, yet many insurers still operate these activities across disconnected systems and teams.
Key highlights
- One control view for reporting readiness: Monitor solvency ratios, reporting deadlines, late feeds, approvals, and open issues in one place. Link changes and blockers to the workflow or owner responsible for follow-up.
- Automated ingestion and data-quality controls: Check freshness, completeness, ownership, and configurable quality rules as data arrives. Surface exceptions for review and support reconciliation across QRTs.
- Connected model workflows: Use Databricks to prepare inputs, orchestrate established actuarial and capital-modeling suites, govern their outputs, and carry results into reporting. The approach can also support models managed with Managed MLflow, while systems such as Prophet, RAFM, or Igloo remain in place.
- Governed approvals and AI-assisted review: Keep model promotions, approvals, report activity, and workflow actions visible through audit trails. Narrowly scoped AI agents can investigate issues, suggest remediation, or route questions, while reviewers retain decision authority.
- ORSA drafting and scenario analysis: Use current reporting data to generate a starting draft for the narrative ORSA, then let actuarial and risk teams review and challenge it. Run scenarios, such as doubling a cyber book over the next 12 months, to explore potential impacts on the solvency ratio.
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