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VZU Industries · Insurance

Claims. Underwriting. 45% MTTR reduction.

VZU's insurance playbook. Claims processing. AI underwriting. MTTR reduction. Powered by Sentinel (audit), Atlas (build), and Hunter (pull) on the VZU OS runtime. The brief is the contract. The work is the work. The audit trail is per-claim.

Brief VZU on Insurance See the work

Industry

Insurance

45%

MTTR reduction

Direct answer

What does VZU do for insurance?

VZU's insurance playbook is claims processing, underwriting, and MTTR reduction on the VZU OS runtime. Sentinel audits every claim. Atlas runs the build. Hunter pulls the data. Real deployments: F50 Insurance 45% MTTR reduction, Bancassurance 50% faster policy issuance, AI Underwriting, Maritime 95%+ accuracy on vessel reports.

Use cases

Five deployments. Real numbers.

  • Claims processing

    F50 insurance carrier. 47k claims a week. 45% MTTR reduction. The Sentinel agent ran the FNOL intake. The Atlas agent ran the triage. The Quill agent produced the adjuster's brief.

  • AI underwriting

    Bancassurance provider. 50% faster policy issuance. The Oracle agent wrote the underwriting prompt. The Sentinel agent audited the decision. The Quill agent wrote the policy to the core system.

  • Maritime vessel reports

    Maritime transportation. 95%+ accuracy on vessel report automation. 14k vessel reports a year. The Hunter agent pulled the report. The Oracle agent wrote the prompt. The Quill agent extracted the data.

  • Underwriting pipeline

    The Hunter agent pulled the application. The Sentinel agent ran the KYC. The Atlas agent ran the underwriting model. The Quill agent wrote the policy. The audit trail is per-application.

  • Inbound voice for claims

    Vega agent runs the FNOL call. Sub-200ms p50. 14 languages. CRM writeback via MCP. The Vega agent escalates to a human when the claimant is in distress.

A case study · F50 Insurance

47k claims a week. 45% MTTR reduction. The adjuster's time went to the adjuster's work.

Chapter 01 · The brief

A F50 insurance carrier, buried under 47,000 claims a week.

A Fortune 50 insurance carrier ran 47,000 claims a week across property, auto, and casualty. Each claim was a first-notice-of-loss intake, a triage, an investigation, an adjuster's brief, and a settlement. The first two steps were 90% of the adjuster's time. The settlement was 10%. The adjuster's expertise was being spent on the wrong work.

The brief from the carrier was specific. Move the FNOL intake and the triage to the runtime. Give the adjuster a brief on the cases that need a human. Cut mean time to repair by 30%+. The audit trail is per-claim. The brief is the contract. The work is the work.

47k

Claims a week

Chapter 02 · The architecture

Sentinel, Atlas, and Quill on the VZU runtime.

The Sentinel agent ran the FNOL intake. The model is the carrier's choice. The prompt is the Oracle agent's. The eval suite scores every intake. The audit trail records the model, the prompt version, the eval result, and the operator's review.

The Atlas agent ran the triage. The Quill agent produced the adjuster's brief. The audit trail is per-claim. The runtime is the compliance boundary. The data residency is the carrier's. The compliance is the runtime.

“45% MTTR reduction. The adjuster's time went to the adjuster's work. The audit trail is per-claim. The seam is the work. VZU ends the seam.”

Chapter 03 · The result

45% MTTR reduction. 6-week payback.

The pipeline shipped in 14 weeks. MTTR dropped 45%. The adjuster's time went to the claims that needed a human. The audit trail is per-claim. The regulatory report is generated from the audit trail, not re-keyed by a junior analyst.

The payback was 6 weeks. The audit posture is the runtime. The model is the carrier's. The data residency is the carrier's. The compliance is the runtime. The brief is the contract. The work is the work.

45%

MTTR reduction

The Atlas agent · A real shipping product

Watch the Atlas agent ship a claims triage product.

The Atlas agent takes a brief and ships a production-grade claims triage product in 14 days. The data model is generated. The API is generated. The frontend is generated. The deploy is on. The audit trail is on from the first character.

atlas@vzu-os — trace.log live
  1. 01
    atlas › read brief

    read brief

  2. 02
    atlas › thinking: brief is "build a multi-tenant booking dashboard". scope: 2 weeks.

    thinking: brief is "build a multi-tenant booking dashboard". scope: 2 weeks. : brief is "build a multi-tenant booking dashboard". scope: 2 weeks.

  3. 03
    atlas › mcp.data.schema

    generate schema: tenants, services, customers, bookings, payments : tenants, services, customers, bookings, payments

  4. 04
    atlas › thinking: stripe connect requires 2-day payout. need to scope webhook handler.

    thinking: stripe connect requires 2-day payout. need to scope webhook handler. : stripe connect requires 2-day payout. need to scope webhook handler.

  5. 05
    atlas › mcp.code.generate

    next.js 15 + prisma + stripe-connect-express

  6. 06
    atlas › mcp.code.generate

    component library: Calendar, CustomerList, BookingForm : Calendar, CustomerList, BookingForm

  7. 07
    atlas › mcp.deploy.staging

    ship to staging.atlas.vzu.ca

  8. 08
    atlas › mcp.test.run

    47 integration tests passing

  9. 09
    atlas › ship. 14 days. 4 deploys. audit trail: 23 entries. done

    ship. 14 days. 4 deploys. audit trail: 23 entries. : 23 entries.

atlas@vzu-os $

Audit trail · 8 entries

streaming
  • T+00:00:00 brief.received 01
  • T+00:01:12 orchestrator.decomposed 02
  • T+00:04:33 mcp.data.schema.generated 03
  • T+02:18:07 mcp.code.generate.api.completed 04
  • T+05:42:19 mcp.code.generate.ui.completed 05
  • T+08:11:55 mcp.deploy.staging.completed 06
  • T+11:33:48 mcp.test.run.completed 07
  • T+14:00:00 brief.completed 08
  • KPI · 01 now

    14 days

    Median brief duration

    43%
  • KPI · 02 now

    12,400

    Avg lines of code

    32%
  • KPI · 03 now

    8

    Deploys per brief

    31%
  • KPI · 04 now

    100%

    Tests passing

    14%

The trust strip

What the runtime has shipped for insurance.

  • F50 Insurance · 45% MTTR

  • Bancassurance · 50% faster

  • Maritime · 95%+ accuracy

  • AI Underwriting

  • F50 Insurance · 47k/wk

A case study · F50 Insurance

Case study

45%. MTTR reduction.

01

The brief

A Fortune 50 insurance carrier was processing 47,000 claims a week across property, auto, and casualty. Each claim was the same five steps: first-notice-of-loss intake, triage, investigation, adjuster's brief, settlement. The first two steps ate 90% of the adjuster's time. The settlement got 10%.

02

The analysis

The adjuster's expertise was being spent on the wrong work. The carrier wanted the FNOL intake and the triage moved to the runtime, the adjuster's brief pre-built for the cases that needed a human, and 30%+ MTTR reduction. Audit trail per-claim.

03

The build

Sentinel ran the FNOL intake. Atlas ran the triage. Quill produced the adjuster's brief. Vega ran the inbound call, sub-200ms p50, 14 languages, escalated to a human when the claimant was in distress. The audit trail is per-claim, per-call.

04

The result

Mean time to repair down 45%. The adjuster's time went back to the adjuster's work. Underwriting is faster too — Bancassurance policy issuance 50% faster. The same pattern was applied to maritime vessel reports: 95%+ accuracy on 14,000 reports a year.

The runtime

Every VZU brand ships on the NetWit Agentic OS runtime. Cloud, hybrid, on-prem. SOC 2 + HIPAA + ISO 27001.

Get in touch

Brief VZU on Insurance.

Claims. Underwriting. MTTR. The brief is the contract. The work is the work. The audit trail is per-claim. The seam is the work. VZU ends the seam.

Brief VZU today See the runtime

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See also

VZU Industries →