Claims Adjuster
New Claim Intake & Assignment
What You Do Today
Get assigned 3-5 new claims per day. Review the first notice of loss, policyholder statement, and police report (if auto). Decide: is this a coverage question, a straightforward property damage, or a complex injury claim? The initial triage sets the entire trajectory of the file.
AI That Applies
AI-powered claim triage that reads the FNOL, classifies severity and complexity, estimates reserve range, and routes to the right adjuster based on expertise. NLP extraction of key facts from unstructured loss descriptions.
Technologies
How It Works
The system ingests unstructured loss descriptions as its primary data source. Predictive models fit to historical outcome data identify which variables are the strongest leading indicators, then apply those weights to current inputs to generate forward-looking scores. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. Your judgment on the ones that don't fit the pattern.
What Changes
The low-complexity claims (clear liability, minor damage, no injuries) get auto-triaged and pre-populated. You focus your intake energy on the claims that actually need an experienced adjuster's eyes from day one.
What Stays
Your judgment on the ones that don't fit the pattern. The FNOL that says 'minor fender bender' but your gut says something's off. Triage is pattern recognition — AI handles the obvious patterns, you handle the exceptions.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for new claim intake & assignment, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long new claim intake & assignment takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your claims director or VP Claims
“What data do we already have that could improve how we handle new claim intake & assignment?”
They're setting the automation strategy for your unit
your SIU lead
“Who on our team has the deepest experience with new claim intake & assignment, and what tools are they already using?”
AI fraud detection changes how investigations are triggered and prioritized
a claims adjuster with 15+ years experience
“If we brought in AI tools for new claim intake & assignment, what would we measure before and after to know it actually helped?”
Their judgment sets the benchmark that AI tools are measured against
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.