When AI prices a policy or decides a claim, the outcome affects someone's livelihood and invites scrutiny from regulators, ombudsmen, and courts. AskLedger seals each decision into verifiable evidence, so you can show exactly what your model did and why.
Insurance conduct regulators increasingly expect insurers to demonstrate that automated decisions are fair, explainable, and consistent. But when a declined claim or a surprising premium is challenged months later, most insurers can't reconstruct the exact inputs and model behind it.
The same receipt AskLedger signs to prove your AI savings records each underwriting and claims decision as a signed, tamper-evident receipt, provable long after the model has moved on.
An ombudsman asks the insurer to justify the denial with evidence, not narrative.
The assessment can't be reconstructed; the insurer settles to avoid the fight.
Exactly what the model assessed and produced, a defensible basis for the decision.
A conduct regulator samples pricing decisions and asks for the basis of each.
Only aggregate metrics exist; individual decisions can't be substantiated.
A per-decision, tamper-evident record, turning a fairness audit into a document request.
Talk to us about evidencing your underwriting and claims models.