
One claim, several losses, each with its own reserve, status and handler. The customer follows it at every stage.
Choose a path, then step through its stations. A repair can switch to cash without starting again: the survey and estimate carry over.
Reports, tracks like a parcel, accepts and signs offers.
Select a part to see what it does and how it looks on screen.
Report a claim from anywhere: staff, the customer app, or the claim website. The policy is validated as it is typed.
One claim, many losses: own car, third-party car, property and injury. Each loss has its own owner, status and clock.
One clear status line: new → accepted → opened → surveyed → quotation requested → quotation received → LPO → repair in progress → repair completed → invoice → credit note → settled.
A rich loss file: overview, survey, quotations, LPO, documents with version history, finance, cash settlement, total loss, salvage, recovery, third-party, property, hospitals, legal, loss adjuster and history.
Reopen and additional losses (car hire, towing, storage, roadside, legal, medical), each with its own approval ladder.
"Action Required" queue: everyone opens the day knowing what needs doing.
Turnaround time (TAT) engine: targets per process and role in working hours, a UAE holiday calendar, approaching and overdue flags, and a process-aging view on every loss.
Full audit trail: every action is stamped with who and when, and settings changes keep their own history.
VInsure measures each garage group's share of live repair work. A four-branch chain counts as one business. Overrides need a reason and are logged.
“The garage logs into your system and sees only its own work. No email, no phone tag.”
“A live league table of your garages, scored on cost, speed and complaints.”
It has its own deadline, owner and register. Every customer concern on a claim becomes a ticket in one cross-claim queue.
An AI assistant reads incoming claim comments, sorts them by topic, and drafts or completes the routine answer, for example "where is my repair?". Regulator complaints are always left to a person. Every AI action can be undone, and the undo teaches it.
A metrics card shows how many comments it resolved and how often staff overrode it.