Director of Special Investigations
Coordinate with claims operations on referral processes
What You Do Today
Manage the interface between claims operations and SIU. Ensure referral processes are efficient, feedback loops exist, and claims staff understand when and how to involve SIU.
AI That Applies
Automated referral scoring that prioritizes incoming referrals and provides feedback to referring adjusters on referral quality.
Technologies
How It Works
For coordinate with claims operations on referral processes, the system draws on the relevant operational data and applies the appropriate analytical models. 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 output — feedback to referring adjusters on referral quality — surfaces in the existing workflow where the practitioner can review and act on it. The working relationship between SIU and claims is delicate.
What Changes
Referral quality improves with automated feedback. Adjusters learn which referrals were productive and which were false alarms.
What Stays
The working relationship between SIU and claims is delicate. Claims staff need to trust SIU as partners, not adversaries.
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 coordinate with claims operations on referral processes, 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 coordinate with claims operations on referral processes 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.