AI FNOL Triage

First Notice of Loss is the moment of truth in claims -- and AI is changing it fast.

Carriers who deployed machine-learning triage tools in 2024 are now reporting measurable reductions in initial handling time. The early wins are concentrated in auto and property lines where structured data is abundant and pattern recognition adds the most value.

The human adjuster does not disappear in this model. Instead, the AI pre-sorts complexity, flags fraud indicators, and routes straightforward claims to self-service tracks. Adjusters spend their hours where judgment matters most.

The risk in rushing this transition is over-reliance on confidence scores without adequate guardrails. A miscalibrated model can systematically mis-triage entire loss categories before anyone notices the pattern.

Governance and ongoing model monitoring are not optional add-ons -- they are core to a responsible deployment strategy.