Illustrative scenario

Running the Treaty Season Leaner: AI Agents for CAT Modeling and Reinsurance Pricing Analytics

For a Chief Actuary at a reinsurance company, the treaty pricing season concentrates enormous analytical demand into a compressed window. CAT model run requests arrive from cedants on overlapping timelines; loss-pick justifications need to be documented; technical pricing memos must reconcile modeled and non-modeled losses — and the market doesn't wait for your team to catch up. The question isn't whether to run more models. It's whether you have the throughput to run them all.

Up and running in ~18 wkFor: Chief Actuary, reinsurance company
Estimate your payback
~5 mo
Payback period
$10M
Est. savings / year
+$6M
Year-1 net

Rough estimate — change the numbers to match your business. We scope the real figures with you on a call.

Throughput Constraints in CAT Analytics

RMS RiskLink and AIR Touchstone are the infrastructure of the business — but the time between a cedant submission and a completed technical pricing memo involves model run queuing, OEP/AEP return-period loss extraction, comparison of modeled losses against non-modeled exposure, and first-draft treaty term construction. Each step is relatively defined; together they consume actuary and analyst time that scales linearly with cedant volume. During renewal season, that linearity is the constraint on how many treaties a team can price competitively.

Agents Across the Pricing Workflow

An AI Labor Company agent mines CAT model run requests and loss-pick justification workflows from RMS RiskLink and AIR Touchstone platform logs, then deploys agents to auto-run OEP/AEP return-period loss analytics across cedant portfolios, produce technical pricing memos comparing modeled and non-modeled losses, and draft treaty term recommendations. The Chief Actuary approves all treaty pricing before underwriter engagement — the agent compresses the analytical production cycle without removing the senior actuarial judgment that defines the pricing position.

Cost Reduction and Pricing Capacity

Catastrophe modeling vendor costs and specialist actuary time are two of the larger variable cost lines in a reinsurance operation. Agents in this configuration typically reduce cat modeling spend by 40–60% per treaty season, with the program operational in roughly 18 weeks. The capacity effect matters too: a team that can process more cedant submissions in the same window can pursue more treaty opportunities without hiring — which directly affects top-line treaty volume and the quality of the book the underwriters are working from.

Questions

Does the agent work with both RMS and AIR outputs, or only one platform?

The agent integrates with both RMS RiskLink and AIR Touchstone platform logs. Loss analytics can be run and compared across both platforms, which is relevant for cedants where you want to see model divergence as part of the pricing rationale.

What does the Chief Actuary need to review before treaty pricing is finalized?

All treaty pricing recommendations require Chief Actuary approval before they reach underwriters. The agent produces the analytical work product; the pricing decision and the loss-pick judgment remain with the senior actuary.

Related use cases

Illustrative scenario for financial services, banking & insurance. Figures are example ranges, not guarantees — we scope real numbers with you on a call.

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