VP of Underwriting
Reinsurance Coordination
What You Do Today
Coordinate with the reinsurance team on treaty capacity, facultative placements, and how underwriting strategy aligns with reinsurance program design.
AI That Applies
AI that models how underwriting decisions affect reinsurance treaty performance, optimizes cession strategies, and flags accounts that require facultative placement before binding.
Technologies
How It Works
For reinsurance coordination, the system draws on the relevant operational data and applies the appropriate analytical models. The simulation engine runs thousands of scenarios by varying each uncertain input across its probability range, building a distribution of outcomes that quantifies the risk. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The reinsurer relationships and strategic alignment.
What Changes
Reinsurance impact analysis happens at the point of underwriting. The AI shows how binding this account affects treaty loss ratios and whether facultative placement is needed.
What Stays
The reinsurer relationships and strategic alignment. How you position your underwriting strategy in the reinsurance market affects your cost and capacity for years.
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 reinsurance coordination, 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 reinsurance coordination 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
“What data do we already have that could improve how we handle reinsurance coordination?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with reinsurance coordination, and what tools are they already using?”
They own the technology infrastructure that enables AI adoption
a peer executive at a company further along on AI adoption
“If we brought in AI tools for reinsurance coordination, what would we measure before and after to know it actually helped?”
Their lessons learned are worth more than any consultant's framework
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.