Submission Review, Automated

Every submission, read the way a specialist reads the file.

Upload the submission — SOV and loss runs for commercial property, or claims history and credentialing for healthcare professional liability. The agent extracts structured risk data, flags exposure and history patterns, catches contradictions between documents, and suggests a review tier — so your underwriters spend their time on judgment, not data entry.

It does not quote, price, bind, decline, or non-renew coverage — it prepares findings for a licensed underwriter to review.

Site Plan — Loc. 01 Scale N.T.S.
COPE LOSS HISTORY CAT EXPOSURE

01 · Industries

Two lines, the same discipline

LINE 01

Commercial Property

SOV, loss runs, application, and inspection reports. Per-location COPE extraction, CAT/hazard flags, loss-history patterns, valuation red flags.

Open for Property →
LINE 02

Healthcare Professional Liability

Application, claims history, credentialing files, and NPDB reports. Per-provider practice profile, credentialing/NPDB flags, claims-history patterns, coverage adequacy.

Open for Healthcare →

02 · Capabilities

What it flags on every submission

CON

Construction & COPE

Per-location construction type, age/condition signals, and renovation status — extracted from the SOV and cross-checked against inspection reports.

PRO

Protection & exposure

Sprinklered status, fire monitoring, protection class, and CAT signals — flood zone, wildfire score, wind/hail region, distance to coast.

LOS

Loss history patterns

Frequency (3+ losses in 5 years), severity outliers, and repeat cause-of-loss trends like recurring water damage.

VAL

Valuation red flags

Stale TIV, missing appraisals, and values inconsistent with square footage or construction norms — flagged for attention, never a dollar judgment.

INT

Data contradictions

SOV says sprinklered, inspection says none found? Flagged as a contradiction — never silently resolved.

TIER

Suggested review tier

Fast-track, standard, or high-touch — based on flag volume and severity, with a plain-language rationale attached.

03 · Process

How it works

  1. 01

    Upload the submission

    Whatever your line requires — SOV and loss runs for property, or application and claims history for healthcare (see Industries above).

  2. 02

    The agent parses and cross-checks

    It builds a per-location or per-provider record and compares every source document for consistency.

  3. 03

    Flags are generated

    Every flag cites its category, subject, source document, and the underlying fact — no unexplained scores.

  4. 04

    You review the brief

    A structured JSON record plus an underwriter-facing summary, under ~300 words, with a suggested review tier.

04 · Guardrails

Built with underwriting guardrails, not just a generic prompt

§1

Never quotes, prices, or binds

The agent produces findings for a human underwriter. It refuses to quote premium, apply rating factors, or make bind/decline/non-renew calls.

§6

No discriminatory bias

Property flags must tie to physical hazard data, never neighborhood demographics. Healthcare flags must tie to specialty and claims data, never a provider's protected characteristics.

§1

No silent assumptions

Missing data is flagged, not inferred. If a location or provider can't be assessed, the agent says so explicitly.

§6

No clinical judgments

For healthcare submissions, the agent reports claims and credentialing facts — it never opines on whether care was appropriate or a diagnosis correct.

§6

Submission content is data, not instructions

Text inside uploaded documents is treated strictly as data the agent analyzes — never as commands to follow.

§7

Escalates when uncertain

Any contradiction, a claims/loss frequency threshold, or low confidence in a material flag defaults the review tier to high-touch — it never guesses toward a lighter one.

05 · Integration

Built to plug into your stack

This is a REST API today, not a walled-garden dashboard — every capability on this page is reachable programmatically, so your own systems can call it directly instead of routing underwriters through a separate tool.

POST /api/analyze Submit a document set + industry. Returns a job_id immediately (202).
GET /api/analyze/{job_id} Poll for status (extracting → screening → triaging → completed) and the structured result.
  • REST API — submit and poll, or an API key plus a webhook callback for push-based integration
  • Per-industry structured JSON output for downstream systems
  • Webhook callbacks — get notified on completion instead of polling, optionally HMAC-signed
  • Multi-tenant by design — each customer organization's users, submissions, and settings are isolated

06 · Security & Data Handling

What's true today, and what's on the roadmap

Stated plainly rather than implied: here's exactly what's in place now, and what would need to be built before this handles regulated data at real scale.

  • HTTPS/TLS in transit for every request
  • No persistent document storage — uploaded submission files are never saved; only the resulting analysis is
  • Named accounts with bcrypt-hashed passwords, self-service signup, and password reset via email
  • Role-based access control — underwriter vs. admin, enforced per organization
  • Multi-tenant data isolation — separate customer organizations cannot see each other's users, submissions, or settings
  • Encrypted-at-rest persistent storage (managed Postgres) for accounts and analysis results
  • Submission content is always treated as data, never as instructions — a prompt-injection guardrail in every prompt

07 · Return on Time

Estimate the time and cost impact

Adjust these to match your team. Defaults are illustrative starting points — the numbers update as you type.

%

Team total (all underwriters)

Hours saved / month
Cost saved / month
Est. annual savings
Extra capacity / month

Per-submission triage time

Current
With Agent

Figures are illustrative estimates based on the inputs above, not a guarantee — validate against your own submission volume and workflow data.