VP of Claims
Regulatory & Compliance
What You Do Today
Ensure claims practices comply with state regulations — prompt payment laws, unfair claims practices acts, documentation requirements, and market conduct standards. Non-compliance means fines, lawsuits, and reputation damage.
AI That Applies
AI compliance monitoring that tracks claim handling against regulatory requirements by state — payment timing, required communications, documentation completeness.
Technologies
How It Works
The system ingests claim handling against regulatory requirements by state — payment timing 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. The compliance culture.
What Changes
Compliance monitors in real time. The AI flags when a claim is approaching a regulatory deadline for payment or communication before the violation occurs.
What Stays
The compliance culture. Regulatory compliance in claims isn't just about deadlines — it's about fair dealing with every claimant. Building that culture requires leadership and accountability.
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 regulatory & compliance, 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 regulatory & compliance 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 board chair or lead independent director
“Which compliance checks are we doing manually that could be continuous and automated?”
They shape expectations for how AI appears in governance
your CTO or CIO
“How would our regulator react to AI-assisted compliance monitoring — have we asked?”
They own the technology infrastructure that enables AI adoption
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.