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For carriers, MGAs, MGUs, and TPAs

The agentic AI operating system for insurance.

Layerup deploys AI agents that run in the background within your existing systems to automate claims and underwriting workflows end to end. Not a chatbot. Not a copilot. Autonomous insurance operations, governed by your enterprise.

Claims
End to end
Underwriting
End to end
LOBs
10+
Deployment
Inside your systems

Customer base

Trusted by Fortune 500 Carriers, TPAs, MGAs, and Specialty Insurers.

Layerup is deployed with enterprise insurance teams across claims, underwriting, and operations.

01
Fortune 500 Carriers
02
TPAs
03
MGAs
04
Specialty Insurers
05
Regional Carriers
01Solutions

Claims and underwriting automation across every line of business.

Auto, property, life, health, health plans, commercial, workers' comp, cyber, IDI, specialty, and E&S. Layerup supports both claims and underwriting where applicable.

Line of business

Auto

Layerup agents handle both claims and underwriting workflows in auto where applicable.

Learn more

Claims

6 workflows
  • FNOL / intake
  • Coverage verification
  • Fraud flagging
  • Subrogation detection
  • Estimate QA
  • Settlement support

Underwriting

5 workflows
  • Submission intake
  • Document extraction
  • Risk summarization
  • Eligibility screening
  • Quote preparation
01

Runs inside existing systems

No rip-and-replace. Agents work across the tools your teams already use.

02

End-to-end execution

From intake to decision packets, Layerup agents complete the work, not just recommend the next step.

03

Governed and visible

Audit logs, reasoning visibility, approval controls, and exception handling built for enterprise adoption.

04

Elastic AI labor

Scale instantly across volume spikes, seasonality, catastrophe events, and back-office queues.

02Executive KPIs

Built for the metrics insurance executives already manage.

Layerup is measured on the KPIs that show up on the executive scorecard, not on usage metrics.

Cycle time

01

Compress days into hours across intake to closure.

Claim closure time

02

Drive faster, higher-quality file completion.

File readiness

03

Adjuster-ready files prepared by agents, not humans.

Adjuster productivity

04

Increase files per FTE without growing headcount.

Cost per claim

05

Reduce manual handling and BPO escalation.

LAE reduction

06

Lower loss adjustment expense across the lifecycle.

Loss ratio improvement

07

Tighter coverage, fraud, and reserve decisions.

Leakage reduction

08

Catch missed exposures, recoveries, and pay-without-cause errors.

Fraud detection yield

09

Surface higher-confidence fraud signals at intake.

Subrogation recovery capture

10

Identify and prepare recoverable files automatically.

Reserve accuracy

11

Support timely, evidence-based reserve posting.

SLA attainment

12

Meet jurisdictional and contractual deadlines.

03Operating shift

From manual handoffs to autonomous workflow execution.

Replace queues, manual reviews, and BPO escalations with embedded agents that execute and route exceptions for human approval.

Before — Manual handoffs
Status: queue
  • Intake queues
  • Manual document review
  • Separate fraud review
  • Separate subrogation review
  • Adjuster / examiner handoffs
  • BPO escalation
  • Manual QA
  • Delayed decisioning
Layerup
Autonomous execution
After — Autonomous
Status: executing
  • Agents ingest work
  • Agents extract and reason
  • Agents flag fraud and subrogation
  • Agents prepare the file
  • Agents route exceptions
  • Humans approve
  • Systems are updated
  • Teams manage outcomes
Get started

Deploy AI agents inside your insurance operation.

Start with one workflow. Prove cycle time, throughput, and quality improvement. Expand across claims, underwriting, and lines of business.