Insurance & Claims

Insurance is a data business running on paper-era systems.

Our goal in this sector

Cut cycle time on quoting and claims without loosening risk controls.

// 01 — State of Play

Where the
sector stands.

Carriers, MGAs, and brokers sit on decades of policy and loss data locked in systems that predate the web. Quoting still involves re-keying. Claims still involve email attachments. The underwriting judgment is sophisticated; the tooling around it usually is not.

Competitive pressure now shows up as speed. The carrier that can quote in minutes, bind digitally, and settle a simple claim same-day wins distribution. That is an engineering outcome, not a pricing one.

// 02 — The Shifts

What technology is changing right now.

The forces reshaping this industry — and why they turn into engineering problems.

Shift 01

Distribution went digital

Agents and customers expect API-driven quoting and instant bind. Portals that just collect a form and email it are no longer competitive.

Shift 02

Data enrichment replaced questionnaires

Property, vehicle, and business data can be pulled from third-party sources rather than asked, shortening applications and improving accuracy.

Shift 03

Claims triage got automated

Photo intake, damage estimation, and severity scoring route simple claims down a fast path and reserve adjusters for the complex ones.

Shift 04

Core systems started unbundling

Rather than one monolith, carriers now compose rating, policy admin, billing, and claims from separate services connected by APIs.

// 03 — Friction

Where it breaks today

  • Quotes re-keyed between broker, MGA, and carrier systems
  • Rate changes requiring a vendor ticket and a six-week wait
  • Claims documents living in email threads and shared drives
  • No single view of a policyholder across products
  • Regulatory reporting assembled manually every quarter
// 04 — What We Build

Systems that fix it

Rating and quoting engines

Rules and rate tables as versioned data, testable against historical books, deployable without a release cycle.

Policy administration and endorsements

Lifecycle systems handling issuance, mid-term changes, cancellations, and renewals with a complete audit history.

Claims intake and workflow

FNOL capture, document handling, reserve tracking, and adjuster worklists with SLA visibility.

Integration and reporting

Carrier, reinsurer, and bordereaux feeds plus regulatory and management reporting built from one source of truth.

// 05 — Ground Rules

How we engineer here

State regulation

Rates and forms are filed and approved per jurisdiction. Systems must support jurisdiction-specific behavior as configuration.

Data retention

Policy and claim records carry long statutory retention periods. Archival and retrieval are first-class requirements.

Auditability

Every rating decision must be reconstructable years later, including the exact rule version applied.

PII handling

Applications carry sensitive personal and financial data. Encryption and access scoping are baseline.

// 06 — Glossary

The language of the sector

Plain-English definitions, so nobody has to pretend they know what an acronym means.

FNOL
First Notice of Loss — the initial report that starts a claim.
MGA
Managing General Agent — an intermediary with authority to underwrite on a carrier's behalf.
Bordereau
A periodic data file listing policies or claims reported between parties, typically carrier to reinsurer.
Loss ratio
Claims paid divided by premium earned. The core profitability measure of a book.
Policy admin system
The system of record for issuance, endorsements, renewals, and cancellations.
// 07 — Questions

Straight answers.

Can you integrate with our legacy policy system?

Yes. Most work begins as an API and data layer in front of the incumbent rather than a replacement.

Do you build rating engines from scratch?

We do, and we design them so actuarial and product teams can change rates without engineering involvement.

How do you handle multi-state rules?

Jurisdiction is a first-class dimension in the data model, not a set of if-statements sprinkled through the code.

Running one of these
operations?

Describe your setup to our AI Strategist and get an architecture sketch back in seconds — or go straight to a human.