Turn Claims Documents Into Structured, Actionable Information.

The Business Problem

Insurance runs on documents — and claims is where the document flood hits hardest. A single claim can generate dozens of artifacts: first-notice-of-loss forms, medical reports, police reports, repair estimates, invoices, photographs, correspondence. Adjusters — highly trained professionals — spend the majority of their working hours reading, classifying, extracting and organizing paperwork instead of exercising judgment on coverage, liability and settlement. Cycle times stretch into weeks while customers wait. Fraud hides in the noise of unstructured files. And regulators demand complete, auditable file histories behind every decision. The claims operation that cannot tame its documents cannot compete on speed, cost, or customer experience — and in a market where policyholders switch after one bad claims experience, that is an existential problem.

How AISoltrics Approaches It

AISoltrics builds claims document intelligence around what adjusters actually do. Incoming documents are classified by type automatically; the fields that matter for each claim type are extracted and structured; information is validated across documents — surfacing inconsistencies that signal errors or fraud indicators before they become payouts. Human review is preserved exactly where regulation and judgment require it, supported by AI-prepared file summaries and complete document lineage so every decision is defensible. This is not about replacing adjusters. It is about returning them to adjusting — judgment, negotiation, customer care — while the document work happens at machine speed underneath.

Example Workflow

Potential Capabilities

• Claims document classification by type
• Structured field extraction per claim type
• Cross-document consistency validation
• Fraud indicator detection
• Human review queues with AI-prepared summaries
• Coverage and reserve decision support
• Regulatory-grade audit trails
• Core claims system integration