Insurance

For carriers, MGAs and TPAs running complex workflows on legacy policy systems

Claims and underwriting that move in hours, not days

Document intelligence, claims routing and regulatory reporting wrapped around your existing PAS — audit-ready from day one.

Property & CasualtyLife & HealthSpecialtyReinsurance
Claims intake
Simulated

Intake

FNOL-48213Police report + photos
FNOL-48215Medical records

AI classify

FNOL-48214Estimate · $4,280classifying · 0.94

Auto

FNOL-48209Repeat claimant · 3 in 90dAuto · high

Property

Liability

Adjuster review

SIU

audit · 48213 classified FNOL · 0.97

Manual review

−80%

Classification accuracy

95%

Waiting on a person

0

Decisions audit-logged

100%

A human approves every change the AI proposes.
Where it hurts

The four problems buyers bring us

  1. 01

    Manual claims review

    Adjusters spend hours cross-referencing policies and routing claims by hand.

  2. 02

    Document backlogs

    Medical records, invoices and correspondence pile up waiting for categorisation.

  3. 03

    State-by-state reporting

    Regulatory complexity that manual processes cannot scale to meet.

  4. 04

    Legacy PAS integration

    Core systems without modern APIs create silos and workarounds.

Numbers link to the case study they come from.

What we build

What we ship for insurance

Production-grade automation, AI, and platforms for insurance carriers and MGAs — claims, underwriting, document intelligence, and regulatory reporting that actually survives audit.

  • 01 AI does this

    Claims processing automation

    End-to-end automation from FNOL through adjudication. Intelligent routing, document intake, fraud signals, and adjuster workbench — wrapped around your existing PAS.

  • 02 AI does this

    Document intelligence

    ACORD forms, loss runs, medical records, policy documents, correspondence — extracted into structured fields with 95%+ accuracy and full audit trails.

  • 03 AI does this

    Underwriting automation

    Multi-source data aggregation, automated risk scoring, and quote turnaround in hours instead of days. Human-in-the-loop for complex risks.

  • 04

    Compliance & regulatory reporting

    50-state regulatory filings, market conduct reports, and audit-ready logs. Configurable rules engines handle jurisdiction-specific requirements.

  • 05

    Policy administration modernization

    Modern API layer over legacy PAS (Guidewire, Duck Creek, mainframe). Unlock automation and modern UX without replatforming the core.

  • 06 AI does this

    Fraud detection & SIU support

    Pattern detection on claims, providers, and networks. Flagging and scoring for SIU teams with explainable signals and case-file generation.

Compliance

Designed to pass review, not retrofitted after it

Audit trails, encryption and access controls are sprint-one work.

SOC 2 Type II

Encryption at rest/in transit, access controls, and audit logging built into every system from day one.

State insurance regulatory

Configurable rules engines for 50-state requirements, audit logs for every automated decision, and reconciliation reports for examiners.

NAIC Model Audit Rule

Internal controls and evidentiary documentation aligned with NAIC MAR expectations.

GLBA & data privacy

Customer financial data handled under GLBA-compliant patterns: tokenization, minimization, and explicit retention policies.

How it runs

Scope in a week, ship in sprints

Shadow mode, parallel run, staged cutover — and a rollback plan you'll hopefully never use.

Stage 01

Insurance discovery & scoping

We map your existing workflow, integrations with core insurance systems, and regulatory constraints. Define success metrics and produce a written scope.

  • Workflow audit
  • System inventory
  • Compliance review
  • Success criteria
run.log · engagement
 

A human approves every change the AI proposes.

  • PAS & core systems

    GuidewireDuck CreekSapiensInsurityMainframe (MQ, COBOL bridges)
  • Document AI

    AWS TextractAzure Document IntelligenceGoogle Document AIUnstructured.ioCustom LLM pipelines
  • Orchestration

    TemporalAirflowCustom Pythonn8nCamunda
Case study
InsuranceRegional P&C carrier

Claims processing automation for a mid-size P&C carrier

Document intake, AI classification, extraction, routing and compliance logging for a carrier processing 10,000+ claims a month.

80%

Less manual review

Read the case
Questions

Before you email us

What insurance buyers ask first.

We build an API layer over Guidewire, Duck Creek, Sapiens, or mainframe systems using their available APIs, database CDC, or file-based integrations. The legacy stays — the modern surface goes on top.

Tell us the insurance workflow that hurts most.

A senior engineer who has shipped in your industry replies within 24 hours with scoping questions and a real timeline.

  • 50+

    Production systems shipped

  • 97%

    Client retention

  • 4–8 wk

    Typical time to production

  • 24h

    Reply from a senior engineer