Synthetic data demo
LedgerlightEnter demo

Ledgerlight

Every alert, explained.

For fraud investigators at health insurers who face hundreds of alerts and no clear place to start. Ledgerlight shows which claims to look at first, how much money is at stake, and why — in plain language.

Before
A score with no reason, in a list with no order.
With Ledgerlight
A clear reason, a priority and a decision in two clicks.
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Claims analyzed
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Alerts raised
$0
Amount at risk

A 90-second investigation

  1. 01 · 20 seconds

    See what is at stake

    Enter the demo and compare flagged exposure, exposure reviewed and the pending queue.

  2. 02 · 40 seconds

    Make a decision

    Open any priority case, read the reason, then investigate, confirm or dismiss it.

  3. 03 · 30 seconds

    Follow the wider pattern

    Explore System View, switch to Organization and select a provider or specialty.

Have 5–8 minutes? Search any claim or provider, compare cases and adjust the impact calculator. Demo decisions stay in your browser tab; Restart demo clears them. All data is synthetic.

Detect

Three independent checks review every claim for unusual billing.

Explain

Each alert comes with a short, plain-language reason anyone can read.

Resolve

Investigate, confirm or dismiss in two clicks, with every change recorded.

What this means at scale

Adjust the assumptions to see how much money fraud detection protects in a portfolio like yours.

$0
Estimated fraud exposure
$0
Estimated amount protected
$0
Cost avoided per 1,000 claims

Illustrative projection based on a synthetic dataset. Adjust the assumptions to match your portfolio.

Sources and notes

Detection results come from a synthetic dataset. Layouts are illustrative and projections are not real savings.

Demo built with synthetic Medicare-style data.