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Platform

AI agents inside your existing insurance systems.

Layerup does not force teams into a new workspace. Agents operate across the systems, documents, inboxes, and workflows your teams already use.

Deployment
Inside your systems
Approval
Human-in-the-loop
Auditability
Reasoning + actions
Adoption
Workflow by workflow
01Pillars

Six pillars built for the insurance enterprise.

Layerup is purpose-built for insurance operations. Beyond triage, scoring, and recommendations — agents execute the workflow and deliver the result.

01

Agent orchestration

Specialized agents coordinated end to end across intake, reasoning, execution, and approval — not isolated assistants.

02

Insurance workflow reasoning

Trained on real claims and underwriting workflows — coverage, fraud, subrogation, file readiness, appetite, and exception handling.

03

Human approval & exception handling

Approval gates, exception routing, and QA review built in. Humans stay in control of the work that matters.

04

Governance & auditability

Reasoning traces, action logs, role-based controls, and policy guardrails for enterprise oversight from day one.

05

System integration & write-back

Agents read from and write into your claims, underwriting, and policy systems. No new workspace for users to learn.

06

Reporting & KPI visibility

Operational dashboards aligned to executive KPIs — cycle time, throughput, leakage, recovery, and SLA attainment.

02Agentic AI

Not a chatbot. Not a copilot.

Chatbots wait for prompts. Copilots still require humans to drive the workflow. BPOs move the work outside the enterprise. Layerup agents run inside the operation, execute the workflow, and surface the result for approval.

Who drives the work?

Chatbots
User prompts
Copilots
Human, step by step
BPO / Outsourced
Outsourced operators
Layerup
Agents drive end to end

Where does it run?

Chatbots
Surface only
Copilots
Inside an assistant pane
BPO / Outsourced
Outside the enterprise
Layerup
Inside your existing systems

Does it complete workflows?

Chatbots
No
Copilots
Partial, with constant input
BPO / Outsourced
Yes, with manual ops
Layerup
Yes, end to end

Is it governed by the enterprise?

Chatbots
Limited
Copilots
Limited
BPO / Outsourced
Through a vendor contract
Layerup
Native enterprise governance

Is there auditability?

Chatbots
Conversation logs only
Copilots
Suggestion logs only
BPO / Outsourced
Vendor-controlled reporting
Layerup
Reasoning traces and audit logs

Does it scale with volume?

Chatbots
Not for back-office work
Copilots
Scales with humans
BPO / Outsourced
Scales by adding people
Layerup
Elastic AI labor

Does it reduce manual handoffs?

Chatbots
No
Copilots
Marginally
BPO / Outsourced
Adds external handoffs
Layerup
Replaces them with execution
03Architecture

Embedded AI labor for the insurance enterprise.

Layerup connects to the systems, documents, and workflows your teams already use, executes the work end to end, and writes the result back.

01 — Sources

Insurance systems & data

  • Claims management systems
  • Underwriting workbenches
  • Policy admin systems
  • Document repositories
  • Email inboxes
  • Call transcripts
  • Forms & submissions
  • Vendor portals
  • Compliance systems
02 — Layerup agent layer

Embedded execution

  • Document ingestion
  • Data extraction
  • Workflow reasoning
  • Task execution
  • Exception routing
03 — Governance

Enterprise controls

  • Audit trail
  • Reasoning visibility
  • Approval gates
  • QA review
  • Role-based access
04 — Output

Approved & written back

  • System write-back
  • Reporting & analytics
No rip-and-replace
Inside existing systems
Approval model
Human approval at the gate
Auditability
Reasoning + action trace
04No rip-and-replace

Adopt agents without replacing the operation.

Layerup works with what you already have. Start small, expand deliberately, keep change management risk low.

01

Works with current systems

Layerup integrates with claims management systems, underwriting workbenches, policy admin, document repositories, inboxes, and vendor portals.

02

Preserves operating model

Adjusters, examiners, and underwriters keep their current workflows. Agents handle the work; humans approve and intervene on exceptions.

03

Starts with a single workflow

Begin with one high-friction workflow — FNOL intake, submission triage, contents valuation, or file readiness — and prove KPI impact.

04

Expands department by department

Roll out from one team to many: claims to underwriting, line of business by line of business, geography by geography.

05

Minimizes change management risk

No new workspace for users to learn. No replacement contracts. No multi-year migration program.

05Governance

Enterprise governance, not vendor opacity.

Own elastic AI labor inside your enterprise. Keep visibility, control, auditability, and QA inside your operation.

01

Audit logs

Every agent action recorded with timestamp, source data, decision outcome, and downstream system writes.

02

Reasoning traces

Inspect why an agent took a step — the inputs considered, the rules applied, and the model evidence used.

03

Human approval gates

Configurable approval requirements per workflow, per LOB, per dollar threshold, per risk tier.

04

Exception routing

Edge cases, low-confidence outputs, and policy violations route to the right human queue with full context.

05

Role-based controls

Permissions aligned to your operating model — adjusters, examiners, underwriters, leads, and oversight teams.

06

QA review & compliance support

Sample, score, and review agent outputs. Maintain regulatory and contractual obligations across jurisdictions.

Get started

Bring AI labor inside your insurance operation.

Layerup deploys with one workflow and one team. Prove the KPI improvement, then expand across departments and lines of business.