Snapsheet
Product and workflow design for a claims automation platform with AI tools that give adjusters structured analysis, prioritized action plans, and automated documentation at every step of the claim lifecycle.
Claims adjusters were processing hundreds of files manually, reviewing loss documents, writing notes, identifying risk indicators, and drafting next steps by hand. Inconsistent documentation often resulted in missed details, reopened claims, and longer cycle times. Snapsheet needed a way to bring structure, speed, and auditability to the claims workflow while preserving the human judgment required for complex cases.
We started by mapping the full claims lifecycle — every decision point, every handoff, every moment an adjuster stops to search for information. From there, we designed three core AI tools that surface the right context at the right moment. Each output is editable, attributed, and audit-ready. The system accelerates work without hiding the reasoning behind it.
The Claim Analysis Report gives adjusters a structured summary of the loss the moment a claim opens. Severity is assessed and flagged — High, Medium, or Low — with the reasoning spelled out: exclusions, coverage limitations, deductibles. Risk indicators surface automatically: SIU involvement likelihood, large loss potential, subrogation, litigation flags, underwriter review requirements. Suggested next steps are prioritized by urgency so adjusters know exactly where to focus first.
Where the analysis report explains what happened, the Claim Action Plan tells the adjuster what to do next. It surfaces discrepancies between the insured's statement and the documented facts of loss, identifies gaps in the record, and generates parallel action lists for the carrier and the insured. Expected claim timelines are estimated based on claim type and complexity. Nothing falls through because the system surfaced it before it could.
Claims live and die on documentation. AI Powered Notes captures every conversation, structures the output, and automatically surfaces the information that matters. Adjusters spend time on the claim, not on transcription. Notes are timestamped, attributed, and editable, keeping the human in the loop while eliminating the busywork around it.
A claims adjuster shouldn't have to go looking for what matters. The system should surface it — structured, prioritized, and ready to act on.
Three AI tools. One coherent claims workflow. Adjusters move faster, documentation holds up under audit, and complex claims get flagged before they become problems. The system handles the routine so the humans can focus on the cases that actually need them.