Claims Adjuster
Negotiation & Settlement
What You Do Today
Negotiate settlement value with claimants, attorneys, and public adjusters. Build a case for your number — medical specials, lost wages, pain and suffering multipliers, comparable verdicts. The dance between initial demand and final settlement is part math, part psychology, and part knowing when to hold firm.
AI That Applies
AI-powered settlement analytics that model likely outcomes based on jurisdiction, injury type, and attorney track record. Comparable verdict and settlement databases with AI search. Demand package analysis that extracts key values and identifies unsupported claims.
Technologies
How It Works
For negotiation & settlement, the system identifies unsupported claims. 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. The negotiation itself.
What Changes
You walk into negotiation with better data — 'cases like this in Franklin County settle for X, and this attorney's average settlement is Y.' Your position is grounded in patterns, not just experience.
What Stays
The negotiation itself. Reading the attorney, knowing when to push and when to settle, managing the claimant's expectations. Negotiation is a fundamentally human interaction. The AI gives you better ammo — you still have to use it.
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 negotiation & settlement, 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 negotiation & settlement 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 negotiation & settlement?”
They're setting the automation strategy for your unit
your SIU lead
“Who on our team has the deepest experience with negotiation & settlement, 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 negotiation & settlement, 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.