Zurich Insurance Group Scales Underwriting Operations
How underwriting teams combine AI-assisted steps with deterministic controls across complex risk workflows.
Problem
Underwriting teams needed to process high-volume, high-variance cases while keeping expert judgment, policy alignment, and auditability intact.
Solution
Interloom combines AI-assisted extraction with deterministic validation so underwriting experts and agents can coordinate execution in one governed workflow.
42%
Faster case triage
3x
More workflow updates per quarter
100%
Traceable decision steps
“Interloom's solution didn't just meet the challenge, it helped us think through, more strongly, the art of the possible.”
Penny Seach
Group Chief Underwriting Officer, Zurich Insurance Group
Background
Zurich Insurance Group is one of the world’s largest insurance companies. Its underwriting teams handle thousands of complex risk cases each quarter, each requiring expert judgment, document review, and policy-aligned decision-making.
The Challenge
Traditional tooling forced underwriting teams into rigid, predefined workflows that could not adapt to new risk types or evolving policy requirements without lengthy IT change cycles. As case volumes increased, the gap between operational needs and system capabilities widened.
How Interloom Helped
Zurich’s underwriting teams now structure workflows into clear, repeatable steps using natural language. AI-assisted extraction and classification reduce manual effort on routine tasks, while deterministic validation steps ensure that every output stays auditable and policy-aligned.
Domain experts can modify and extend workflows directly, without waiting for IT development cycles. Each update takes effect immediately, and execution context is preserved across every case.
Results
The result is faster case handling with stronger transparency across teams. Triage time dropped by 42%, the team ships three times more workflow improvements per quarter, and every decision step is fully traceable.