The agentic AI operating system for insurance and financial services.
Layerup deploys AI agents that run in the background within your existing systems to automate critical workflows end to end — across claims, underwriting, lending, collections, payments, and compliance. Not a chatbot. Not a copilot. Autonomous operations, governed by your enterprise.
Customer base
Trusted by Fortune 500 Carriers, Financial Institutions, MGAs, and Specialty Insurers.
Layerup is deployed with enterprise insurance and financial services teams across claims, underwriting, lending, and operations.
Long-horizon background AI agents that work uninterrupted for hours and days.
Across insurance and financial services — claims, underwriting, lending, collections, payments, fraud, and compliance. Layerup agents run end to end inside your existing systems, by function and by line of business.
Auto
Layerup agents handle both claims and underwriting workflows in auto where applicable.
Learn moreClaims
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
Runs inside existing systems
No rip-and-replace. Agents work across the tools your teams already use.
End-to-end execution
From intake to decision packets, Layerup agents complete the work, not just recommend the next step.
Governed and visible
Audit logs, reasoning visibility, approval controls, and exception handling built for enterprise adoption.
Elastic AI labor
Scale instantly across volume spikes, seasonality, catastrophe events, and back-office queues.
Built for the metrics insurance and financial services executives already manage.
Layerup is measured on the KPIs that show up on the executive scorecard, not on usage metrics.
Cycle time
01Compress days into hours across intake to closure.
Claim closure time
02Drive faster, higher-quality file completion.
File readiness
03Adjuster-ready files prepared by the agent, not humans.
Adjuster productivity
04Increase files per FTE without growing headcount.
Cost per claim
05Reduce manual handling and BPO escalation.
LAE reduction
06Lower loss adjustment expense across the lifecycle.
Loss ratio improvement
07Tighter coverage, fraud, and reserve decisions.
Leakage reduction
08Catch missed exposures, recoveries, and pay-without-cause errors.
Fraud detection yield
09Surface higher-confidence fraud signals at intake.
Subrogation recovery capture
10Identify and prepare recoverable files automatically.
Reserve accuracy
11Support timely, evidence-based reserve posting.
SLA attainment
12Meet jurisdictional and contractual deadlines.

Insurance · Banking · Lending · Payments · Compliance
Built for the institutions that run the real economy.
Several days of human handoffs. Minutes of parallel execution by one long-horizon AI agent.
What your team passed hand to hand over days, one long-horizon AI agent runs in parallel in minutes — and it doesn't just process the case, it reasons through it: weighing evidence and risk, deciding, and drafting the rationale. Your team shifts from doing to approving.
Long-horizon · extracts, verifies, reasons, decides · runs uninterrupted until the work is finished
Deploy AI agents inside your operations.
Start with one workflow. Prove cycle time, throughput, and quality improvement. Expand across functions and lines of business — in insurance and financial services.
