Bring Any Old Policy Into Your New Policy System the Moment Someone Needs It

Bring Any Old Policy Into Your New Policy System the Moment Someone Needs It

Bring Any Old Policy Into Your New Policy System the Moment Someone Needs It

Yazh (Yaal), our Integration Gateway, creates a single policy in your new policy system from your legacy system or archive when a claim or request needs it, so old history stays out until it is required.

The Problem

Old Policy Terms Are Missing When Someone Needs Them

Most carriers load only current terms at go-live. Older terms stay behind, and the need for them appears one request at a time.

A Claim Arrives on a Term That Is Not There

Claims on old terms require manual retrieval and recreation, which delays claim creation and keeps the legacy system running.

Loading All History Slows the New System

Loading every historical term requires heavy data cleansing and may hurt performance, even though most records are rarely accessed.

Every Upgrade Reopens the Build

Each connector depends on your policy system's and the carrier's APIs, so every upgrade triggers rework and retesting.

The Solution

Insurance-Vertical AI That Rebuilds Old Policy Terms on Demand

Insurance-Vertical AI That Rebuilds Old Policy Terms on Demand

LiLa reads policy data pulled from your legacy system or archive, suggests how each field maps to your new policy system, and flags anything it could not match. A person confirms the mapping, and Yazh (Yaal) creates the policy.

LiLa reads policy data pulled from your legacy system or archive, suggests how each field maps to your new policy system, and flags anything it could not match. A person confirms the mapping, and Yazh (Yaal) creates the policy.

How does InsOps Help?

How Yazh (Yaal) Brings Old Policies Over on Demand

Yazh (Yaal) sits between your legacy system or archive and your new policy system. It accepts one payload per policy and handles mapping, validation, and delivery.

Yazh (Yaal) sits between your legacy system or archive and your new policy system. It accepts one payload per policy and handles mapping, validation, and delivery.

Bring the Term From Legacy or Archive

Send the term in the format your legacy system or archive already uses.

LiLa-Suggested Mapping

LiLa maps each source field to your policy system. You set the mapping once per line of business and reuse it.

Review Every Mapping

A team member can edit, add, or remove mapped fields before the mapping goes live.

Policy First, Then the Claim

Your policy system receives the policy, and the claim is then created against it.

Self-Service

Your team sends a policy whenever it is needed, with no InsOps step in each transaction.

Logged and Monitored

Every request is authenticated, validated, and recorded, with audit entries on the dashboard.

FAQ

Frequently

Frequently

Frequently

Asked Questions

Asked Questions

Asked Questions

Have questions? Our FAQ section has you covered with
quick answers to the most common inquiries.

Have questions? Our FAQ section has you covered with
quick answers to the most common inquiries.

What is on-demand policy migration?

How is this different from converting at renewal or a full migration?

Can we reuse the mapping?

Who reviews the mapping?

Join Us Now

Every Insurer We Work With

Moves Faster and Operates Smarter.

Join us and turn complex data challenges into streamlined, automated operations with the help of our Insurance-trained LLM

Join Us Now

Every Insurer We Work With

Moves Faster and Operates Smarter

Join us and turn complex data challenges into streamlined, automated operations with the help of our Insurance-trained LLM