Eight layers. One closed loop. The intellectual foundation for everything UnderwriteAI builds.
Version 1 · 2025 · ProprietaryIt is a stack of dependent judgments that compound from raw data at the bottom to a bound policy at the top — and then loop back through portfolio learning. Data flows upward through seven decision layers. Learning flows downward from the eighth back to the first. The system is a closed loop, not a pipeline.
Most AI in insurance today attacks one layer of that stack in isolation. A submission triage tool here, a pricing optimiser there, a CAT aggregation dashboard somewhere else. Each one locally intelligent inside a globally dumb system. The underwriter in the middle is still the integration layer — manually connecting outputs from disconnected tools under time pressure at the point of a decision with real financial consequences.
The Underwriter's Decision Stack reframes commercial underwriting as a vertically integrated reasoning pipeline where AI inserts at every layer — and where coverage structuring, pricing adequacy, and reinsurance protection are not adjacent functions but integral layers within the underwriting decision itself.
Submission documents, SOV, COPE data, loss history, and external signals (satellite imagery, geocoded hazard, financials, news). The layer's job is evidence assembly.
Occupancy risk grade, NatCat exposure score, COPE quality rating, moral hazard markers, and loss trend. Evidence becomes interpretation.
Perils, limits, sub-limits, deductibles, warranties, and conditions. Coverage is defined before price.
Burning cost, exposure rating, GLM/GBM technical premium, CAT load, and capital loading. Pricing follows coverage.
Market context, broker relationship, moral hazard read, and soft information no dataset captures.
Fac need, cession logic, event limit consumption, net vs gross profitability, and RI cost per risk.
All upstream layers converge. Final terms confirmed.
Portfolio metrics update, models recalibrate, and underwriter performance tracked. Closed loop.
Anyone who has underwritten a large commercial property schedule will recognise the sequence. Anyone who has not will not be able to fake it.
Layer 3 (Coverage and T&C) sits above Signal and below Pricing. You define what you are covering before you price it. No credible actuarial or underwriting framework disagrees with this.
Every org chart treats actuarial and reinsurance as separate departments. This framework asserts they are integral layers — and the AI implications follow directly from that assertion.
That means every layer can become a project, a repository, a whitepaper, an engineering engagement. The framework generates the roadmap.
A CUO can look at it and answer immediately: we are strong on Layers 1-2, adequate on 4, blind on 6. That is a consulting conversation that starts itself.
Every project addresses one or more layers. Every layer will eventually have a working AI system.
| Project | Primary Layers | Domain | Status |
|---|---|---|---|
| P1 SubmissionIQ | Layers 1, 2, 3, 4 | Commercial Property | In Build |
| P2 PriceDesk | Layers 4, 2, 6, 8 | Technical Pricing | Scoped |
| P3 LossLens | Layers 7, 1, 2, 8 | Claims Intelligence | Scoped |
| P4 RiskReader | Layers 2, 1, 3 | Risk Engineering | Scoped |
| P5 TreatyDesk | Layers 6, 5, 4 | Reinsurance Analytics | Scoped |
| P6 PortfolioMind | Layers 5, 3, 6, 8 | Portfolio Intelligence | Scoped |
| P7 AuditStack | Layers 8, 7, 5 | Decision Governance | Scoped |
| Specialty Line Extensions | |||
| P8 ParametricDesk | Layers 3, 4, 2 | Parametric Insurance | Scoped |
| P9 RenewableUWDesk | Layers 1, 2, 3, 4 | Renewable Energy | Scoped |
| P10 DataCentreUWDesk | Layers 1, 2, 3, 4 | Data Centre | Scoped |