Built for Claims and operations leaders at insurers carrying long cycle times and rising adjuster workloads.
First notice of loss is captured and structured from any channel, with missing information flagged immediately.
Claims are routed by complexity and risk, concentrating adjuster attention on the cases that need judgement.
Policy terms, history and supporting evidence are gathered and presented in one reviewable case.
A licensed adjuster decides, with the AI surfacing evidence and policy, never deciding a denial alone.
Indicative ranges drawn from comparable engagements, measured against a pre-AI baseline. Your figures are set and tracked from your own data during delivery.
Every engagement hands over working software in your repositories, with the evidence to run and audit it.
No. The AI assembles evidence, surfaces policy and accelerates approvals, but a licensed adjuster owns every adverse decision. This is both the defensible design and, in a growing number of jurisdictions, the legal requirement.
It is built to. Every adjudication is explainable and traceable, and the engagement ships with an audit pack, a versioned evaluation harness and a documented residual-risk register designed for second-line review.