Property risk in manufacturing
Property damage and business interruption exposure of an industrial plant, ceded by a broker.
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Underwriting · Reinsurance
How many hours does your team lose on every facultative risk?
suscriptor AI runs a ten-phase protocol over each case's documents: it extracts them, synthesizes the risk profile, matches it against available capacity, and calculates technical premium with a deterministic actuarial engine. The desk gets the report and decides.
97% Of the underwriting process automated
4:36 Average minutes per completed case
1,546 Hours saved vs. the manual process
Real demo of the system, in production since June 2026. Figures from the product's internal dashboard, cumulative history over the production database.
01 · How it works
From incoming slip to desk decision.
Ten phases over the case's four documents: slip, loss history, SOV, and inspection report. AI reads and synthesizes; the final number comes from a deterministic engine.
01
Document extraction
Reads the slip, loss history, SOV, and inspection report, and structures the case's key data.
02
Risk synthesis
Builds the risk profile and case background from the extracted data.
03
Capacity matching
Matches the synthesized risk against available reinsurer capacity and appetite.
04
Pricing and recommendation
Calculates technical premium with a deterministic actuarial engine and produces the final recommendation report.
02 · Use cases
Where it already operates.
Six risk types running through the protocol today on an MGA's desk, with risks ceded by brokers across Latin America, the Middle East, North Africa, and Europe.
Agro-industrial risk
Property cover for a vegetable oils and fats processing plant.
Logistics risk
Fleet and warehouse exposure of a logistics operator.
Urban mass transit
Liability and property damage for a public transit system.
Banking risk
Property exposure of a banking institution as the insured risk.
Hospitality risk
Property risk for a hotel resort, with expected loss calculated by the actuarial engine.
03 · Metrics
The numbers that matter.
Figures from the product's internal dashboard, cumulative history over the production database, confirmed by the product team in August 2026.
97%
Of the underwriting process automated by the protocol
4:36
Average minutes of processing per completed case
1,546
Hours saved versus the manual process · cumulative
440
Cases processed since go-live · 90% completed
Every case also gets an AI confidence score that routes human review where it is needed most, and the final premium is calculated by a deterministic actuarial engine, not the language model.
04 · Contact
Let's get suscriptor AI running on your desk.
Tell us how many facultative risks your desk receives and in which formats they arrive. We'll show you the protocol running on a real case.