Director of Claims
Drive process improvement and automation initiatives
What You Do Today
Identify claims processes that are slow, manual, or error-prone. Lead automation and improvement projects that reduce cycle time and cost while maintaining or improving quality.
AI That Applies
Process mining that reveals how claims actually flow through the system, identifying bottlenecks, rework loops, and automation opportunities from actual process data.
Technologies
How It Works
The system ingests actual process data as its primary data source. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Improvement targeting becomes data-driven. AI shows you exactly where time is lost and where automation will have the biggest impact.
What Stays
Leading process change in a claims organization requires buy-in from experienced adjusters who are skeptical of changes that might compromise quality.
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 drive process improvement and automation initiatives, 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 drive process improvement and automation initiatives 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
“Which steps in this process are fully rule-based with no judgment required?”
They're setting the automation strategy for your unit
your SIU lead
“What's the error rate on the manual version, and what would "good enough" look like from an automated version?”
AI fraud detection changes how investigations are triggered and prioritized
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.