Our insurance-trained AI removes manual schema interpretation and reduces policy data migration timelines from months to weeks. Move accurate, complete policy data into Guidewire PolicyCenter without slowing new business issuance.
The Solution
LiLa, an Insurance-trained AI that Makes Policy Data Usable at Scale
Our insurance-trained AI understands insurance underwriting data across systems and formats, bringing context, consistency, and reliability to policy data without replacing existing platforms or requiring upfront cleanup.
How does InsOps Help?
How Insurers Migrate Policy Data Into PolicyCenter
InsOps addresses the core problem behind poor policy data quality: lack of context across underwriting systems. Instead of forcing cleanup projects or platform changes, LiLa, our insurance-trained AI interprets data where it lives, applies insurance context, and makes it usable across underwriting operations.
Understands Insurance Data
LiLa recognizes when different systems describe the same policy, coverage, or rating requirement, even when fields or coding structures differ. This reduces the need for manual mapping and reconciliation across underwriting systems.
Works with Messy Data
LiLa does not require clean or perfectly structured inputs to be effective. It works with fragmented and inconsistent policy and rating data, reducing the need for upfront cleanup before data can be validated and migrated.
