Our insurance-trained AI removes manual field mapping and reduces billing data migration timelines from months to weeks. Load accurate, reconciled billing data into Guidewire BillingCenter without billing cycle disruption.
The Solution
LiLa, an Insurance-trained AI that Makes Billing Data Usable at Scale
Our insurance-trained AI understands insurance billing data across systems and formats, bringing context, consistency, and reliability to billing data without replacing existing platforms or requiring upfront cleanup.
How does InsOps Help?
How Insurers Migrate Billing Data Into BillingCenter
InsOps addresses the core problem behind poor billing data quality: lack of context across billing 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 billing operations.
Understands Insurance Data
LiLa recognizes when different systems describe the same policy premium, commission, or discount, even when fields or calculation methods differ. This reduces the need for manual mapping and reconciliation across billing systems.
Works with Messy Data
LiLa does not require clean or perfectly structured inputs to be effective. It works with fragmented and inconsistent billing and accounting data, reducing the need for upfront cleanup before data can be reconciled and loaded.
