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.
Your context, centralized once—so AI agents can run every task end to end.
Autonomy breaks where context is scattered — across systems of record, documents, regulations, guidelines, and the heads of your most experienced people. Layerup's Agentic AI OS centralizes it in a Unified Context Engine, then provides and verifies that context at every step of a run, so an agent can carry a task from intake to write-back without a human assembling the pieces.
Your context today
Fragmented- Regulations & jurisdictional rulesRules
- Underwriting, claims & servicing guidelinesRules
- SOPs, playbooks & desk manualsProcedure
- Business logic, pricing & rating rulesLogic
- Industry language & product glossariesLanguage
- Systems of record — policy, claims, core bankingLive state
- Documents, inboxes & vendor portalsEvidence
- Prior decisions & reviewer correctionsMemory
Unified Context Engine
Centralizes
01One governed context graph per enterprise — rules, language, logic, agent operating procedures, and the live state of every case. Versioned, permissioned, residency-pinned.
Provides
02Assembles exactly the context each step needs — scoped by function, line of business, jurisdiction, and role — before the agent reasons or acts.
Verifies
03Checks every output against the context it came from — citations resolved, rules satisfied, figures reconciled — before anything is staged for approval or written back.
One agent, one task
Autonomous · end to end- 01Intake & classifyAgent
Reads the case, the documents, and the request.
- 02Retrieve contextAgent
Pulls the rules, procedures, and live state that apply.
- 03Reason & decideAgent
Weighs the evidence against guidelines and appetite.
- 04Act in systems of recordAgent
Reads, reconciles, and stages the writes.
- 05Verify against contextAgent
Every citation, rule, and figure checked.
- 06Stage for approvalHuman approves
Decision-ready packet with rationale attached.
- 07Write back & logAgent
Systems updated, full audit trail recorded.
Without centralized context, agents stall
Every missing rule, ambiguous term, or stale record becomes a hand-back to a human. The agent stays an assistant, and the workflow stays manual at the seams.
With it, they finish the task
The agent carries the rules, procedures, and live case state it needs at every step — and a way to check its own work — so it keeps going from intake to write-back.
And the context compounds
Every correction, decision, and resolved file flows back into the engine. The next run starts with more context than the last, inside your environment.
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
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.
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.