AI agents inside your existing insurance and financial services systems.
Layerup does not force teams into a new workspace. Agents operate across the systems, documents, inboxes, and workflows your teams already use.
Six pillars built for the regulated enterprise.
Layerup is purpose-built for insurance and financial services operations. Beyond triage, scoring, and recommendations — agents execute the workflow and deliver the result.
Agent orchestration
Specialized agents coordinated end to end across intake, reasoning, execution, and approval — not isolated assistants.
Domain workflow reasoning
Trained on real insurance and financial services workflows — coverage, fraud, subrogation, appetite, lending, collections, payments, KYC, and exception handling.
Human approval & exception handling
Approval gates, exception routing, and QA review built in. Humans stay in control of the work that matters.
Governance & auditability
Reasoning traces, action logs, role-based controls, and policy guardrails for enterprise oversight from day one.
System integration & write-back
Agents read from and write into your claims, underwriting, policy, core banking, lending, and servicing systems. No new workspace for users to learn.
Reporting & KPI visibility
Operational dashboards aligned to executive KPIs — cycle time, throughput, leakage, recovery, and SLA attainment.
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
Purpose-built for multi-geo, multi-model, multi-cloud enterprises and governments to run a sovereign agentic AI workforce.
Layerup connects to the systems, documents, and workflows your teams already use, executes the work end to end, and writes the result back.
Command Center
Industry-Specific Interfaces
Agentic AI Governance and Identity
AI Agents
Alignment Layer
Models
Unified Context Engine
Agentic AI Data Layer & Security
Systems of Record
Enterprise Data Sources
Layerup's Agentic AI OS adapts to your business—not the other way around.
Layerup works with what you already have. Start small, expand deliberately, keep change management risk low.
Works with current systems
Layerup integrates with claims management systems, underwriting workbenches, policy admin, core banking, loan origination and servicing systems, document repositories, inboxes, and vendor portals.
Preserves operating model
Adjusters, examiners, underwriters, collectors, bankers, and analysts keep their current workflows. Agents handle the work; humans approve and intervene on exceptions.
Starts with a single workflow
Begin with one high-friction workflow — FNOL intake, submission triage, collections outreach, payment posting, or KYC onboarding — and prove KPI impact.
Expands department by department
Roll out from one team to many: function by function, line of business by line of business, geography by geography.
Minimizes change management risk
No new workspace for users to learn. No replacement contracts. No multi-year migration program.
Enterprise governance, not vendor opacity.
Own elastic AI labor inside your enterprise. Keep visibility, control, auditability, and QA inside your operation.
Audit logs
Every agent action recorded with timestamp, source data, decision outcome, and downstream system writes.
Reasoning traces
Inspect why an agent took a step — the inputs considered, the rules applied, and the model evidence used.
Human approval gates
Configurable approval requirements per workflow, per LOB, per dollar threshold, per risk tier.
Exception routing
Edge cases, low-confidence outputs, and policy violations route to the right human queue with full context.
Role-based controls
Permissions aligned to your operating model — adjusters, examiners, underwriters, collectors, bankers, analysts, leads, and oversight teams.
QA review & compliance support
Sample, score, and review agent outputs. Maintain regulatory and contractual obligations across jurisdictions.
Bring AI labor inside your operations.
Layerup deploys with one workflow and one team — in insurance or financial services. Prove the KPI improvement, then expand across departments and lines of business.